What is data encryption: features and how does it work?
What is data encryption: features and how does it work?
Data encryption is a fundamental security practice to protect digital information and ensure its integrity and privacy.
Data encryption: definition
Data encryption is the process of transforming readable information (plaintext) into an encoded format (cipher text) that can only be read by those in possession of a specific decryption key. This process ensures that data is inaccessible to unauthorised persons, thus protecting the confidentiality and integrity of the information. Its importance lies in several key aspects that ensure data integrity, availability and confidentiality:
- Privacy protection: Data encryption ensures that sensitive information such as personal, financial and health data remains private and secure. By converting plaintext to ciphertext, only authorised persons with the decryption key can access the information.
- Communications security: In digital communications, such as emails, instant messages and online transactions, encryption protects against interception and eavesdropping. By encrypting transmitted data, it ensures that any attempt to intercept the communication results in information that is unreadable to attackers.
- Compliance: Many regulations and laws, such as the General Data Protection Regulation (GDPR) in Europe, require the use of encryption to protect personal data. Compliance with these regulations not only avoids legal sanctions, but also demonstrates an organisation's commitment to protecting its customers‘ and users’ information.
- Cyber-attack and fraud prevention: Data encryption helps prevent unauthorised access and misuse of information, preventing the risk of fraud and cyber-attacks. Attackers attempting to access encrypted data will face a significant barrier, hindering their efforts and protecting critical information.
- Intellectual property protection: In the business environment, data encryption protects intellectual property such as trade secrets, patents and confidential documents. This is essential to maintain competitive advantage and prevent the leakage of valuable information.
- Customer trust: The use of database encryption also contributes to building trust among customers and users. Knowing that an organisation takes steps to protect their personal information increases customer trust and loyalty, which can translate into long-term business benefits.
Main challenges of data encryption
Despite its benefits, data encryption presents challenges:
- Key management. The generation, distribution and secure storage of encryption keys are critical and complex.
- Rendimiento. El cifrado puede afectar el rendimiento de los sistemas, especialmente en el caso de cifrado asimétrico.
- Compatibility. It is necessary to ensure that systems and applications are compatible with the encryption methods used.
How data encryption works
The data encryption process is performed by means of mathematical algorithms and the use of encryption keys. Database encryption algorithms are mathematical formulae that transform plaintext into ciphertext. The encryption process consists of the following steps:
- Key generation. An encryption key is generated which will be used to transform the plaintext into ciphertext.
- Encryption. The encryption algorithm uses the key to convert plaintext into ciphertext.
- Transmission or storage. Ciphertext is transmitted or stored securely.
- Deciphered. The authorised receiver uses the corresponding key to convert the ciphertext back into plaintext.
Most effective techniques for data encryption
Keys are essential for data encryption and decryption. There are two main types of encryption:
- Symmetric Encryption: uses the same key to encrypt and decrypt data.
- Asymmetric Encryption: uses a public and a private key pair. The public key encrypts the data, and only the corresponding private key can decrypt it.
Each of these is explained in more detail below.
Symmetric encryption methods
Symmetric encryption is an encryption method that uses the same key to encrypt and decrypt data. It is known for its speed and efficiency, making it ideal for large volumes of data. Some of the most common methods include:
- AES (Estándar de cifrado avanzado). It is one of the most secure and widely used algorithms. It offers different key sizes (128, 192 and 256 bits) and is resistant to cryptographic attacks.
- DES (Data Encryption Standard). Although older and less secure than AES, it is still used in some applications. It uses a 56-bit key.
- 3DES (Triple DES). It improves the security of DES by applying the algorithm three times with two or three different keys.
Symmetric encryption is efficient, but secure key distribution is a challenge, as both parties must have access to the same key without compromising its security.
Asymmetric encryption methods
Asymmetric encryption uses a pair of keys: a public key and a private key. The public key is used to encrypt the data, while the corresponding private key is used to decrypt it. This method is more secure for data transmission, as the private key is never shared.
- RSA (Rivest-Shamir-Adleman). It is one of the best known and most widely used asymmetric encryption algorithms. It provides high security and is used in applications such as digital signatures and SSL/TLS certificates.
- ECC (criptografía de curva elíptica). It uses elliptic curves to provide a high level of security with smaller keys, making it more efficient in terms of performance and resource usage.
Asymmetric encryption is ideal for secure data transmission, although it is slower than symmetric encryption due to its mathematical complexity. If you want to keep up to date in this sector, we encourage you to access our content→ The 5 cybersecurity trends you need to know. Now that you know the examples of data encryption, it's time to discover its key benefits.
Key benefits of data encryption
Key benefits of database encryption include the following:
Data protection on different devices
Data encryption is an essential measure for protecting data on a variety of devices, including mobile phones, computers and servers. By converting information into a format unreadable to anyone without the decryption key, encryption ensures that sensitive data remains secure, even if the device is lost or stolen. This is especially relevant in a world where cyber-attacks are becoming increasingly common and sophisticated.
Maintaining data integrity
Encrypting data ensures that the information is not altered during storage or transmission. This is crucial to prevent malicious manipulation and to ensure that data remains accurate and reliable. In the context of data transmission, encryption protects information against unauthorised interception and modification. This is especially important in public or unsecured networks, where data may be vulnerable to attack. In addition, encryption helps to detect any tampering with the data, as any changes to the encrypted information will result in unreadable data when decrypted without the correct key.
Data migration to cloud storage
Data encryption is essential for secure data migration to cloud storage. Encrypting information before transferring it to the cloud ensures that data remains protected from unauthorized access during migration. This is especially important because data can be vulnerable to interception and cyberattacks while moving over public or private networks.
In addition, cloud database encryption ensures that only authorized individuals can access the stored information, thus protecting the privacy and confidentiality of sensitive data. This is crucial to comply with data protection regulations, such as the GDPR in Europe, which requires appropriate security measures.
Kartos XTI Watchbots, the Cyber Intelligence and Cybersecurity platform developed by Enthec, allows your organization to proactively, continuously, and in real-time control key aspects for correct data protection and compliance.
Contact us to know how Kartos can help you protect your data.
How to protect yourself amid a wave of cyber-attacks on businesses
Recent waves of next-generation cyberattacks on large organizations have shaken the business world, exposing vulnerabilities and challenging information security.
The reality of recent next-generation cyberattacks
The information on the recent waves of cyberattacks on companies in Spain and worldwide is alarming.
At the end of 2023, 73% of companies worldwide reported a fear of receiving a cyberattack in the following year, an increase of 8% compared to the previous year.
The outlook in Spain is also worrying, as 94% of companies have suffered a cybersecurity incident in the last year. Already in 2022, Spain ranked third globally in terms of cyberattacks.
Recent next-generation cyberattacks are sophisticated, targeted, and persistent. They use advanced techniques to bypass traditional security systems and cause significant damage.
These attacks are not limited to small and medium-sized companies with less protection capacity, but large organizations are also proving to be vulnerable targets.
Attackers use techniques such as targeted phishing, ransomware, and brute force attacks to penetrate enterprise networks, as well as zero-day vulnerabilities and security flaws unknown to the public and the software manufacturer.
These techniques are effective because they use the latest technologies, such as Artificial Intelligence or machine learning, in the design and execution of cyberattacks.
The impact of these recent cyberattacks is not limited to the short term and, sometimes, endangers the business's survival in the medium term. Immediate damage includes loss of sensitive data, disruption of business operations and services, damage to the company's reputation, and the cost of recovery.
Sectors most affected by the waves of cyberattacks on companies
In Spain, according to data provided by INCIBE, in 2023 the sectors most affected by cyberattacks were:
- Industrial sector: Spain is the fourth country in Europe with the most cyberattacks against the industrial sector, and attacks are expected to continue increasing and affecting new subsectors such as agriculture or livestock in their most digitized production phases.
- Healthcare sector: According to ENISA data, Spain ranks second in episodes of cybersecurity attacks in the healthcare sector in Europe, with 25 incidents recorded between 2021 and 2023.
- Financial sector: The financial sector maintained 25% of cyberattacks recorded in 2022 and 2023, which is a stable trend compared to other sectors.
- Transportation sector: This sector has also accumulated more than 25% of cyberattacks in 2023.
- Energy sector: the energy sector has exceeded 22% of cyberattacks in 2023, making it a sector in the spotlight due to the importance of its services.
- Insurance sector: The insurance sector is another sector most affected by cyberattacks. Last year, 94% of Spanish insurance companies suffered at least one serious cybersecurity incident.
- Telecommunications and technology: 18.3% of the incidents managed in 2023 were related to this sector.
- Public Administrations: Public Administrations are in the crosshairs of cybercrime due to the large amount of sensitive data they handle and their importance in the hectic global socio-political environment.
- SMBs: SMBs continue to register a significant number of cyberattacks, and their strategy is based on the cumulative benefit of the success of a large number of lower-yielding attacks.
These data do not differ much from those provided by ENISA for the European Union. The increase in cyberattacks on the European financial sector and the health sector so far this year is noteworthy.
Why are there more and more cases of successful cyberattacks on companies?
The frequency of different types of cyberattacks worldwide has increased significantly in recent years.
Specifically, in Spain, according to the 2023 Annual National Security Report, CCN-CERT managed 107,777 incidents, Incibe, 83,517 incidents, and ESDF-CERT, 1,480 incidents in 2023. This represents a significant increase compared to previous years. In 2018, INCIBE reported 102,414 incidents, representing a 15% increase in the frequency of cyberattacks on companies in just five years.
Among the main causes of the success of the recent waves of cyberattacks are:
- Lack of risk perception. Many companies, especially small and medium-sized ones, do not have a clear perception of the risks they run and do not bother to adopt a true cybersecurity strategy.
- Vulnerabilities in hardware and software. Devices used by employees and systems critical to the operation of companies are vulnerable to attacks and are the main point of entry in 18% of cases.
- Cybersecurity culture. The lack of a cybersecurity culture among workers and collaborators leads to errors and vulnerabilities that cybercriminals can exploit. Keeping staff and collaborators up to date with the latest developments and trends in cybersecurity means reducing the chances of success of social engineering techniques and reinforcing the protection of systems.
- Lack of proactive approach to cybersecurity. Data stolen in cyberattacks or leaked by security breaches often ends up on black markets, on the Dark Web, or the Deep Web, where it is sold to other criminals for various illicit purposes, such as designing new cyberattacks. Implementing a proactive approach to corporate cybersecurity allows you to locate data and breaches before they can be used to attack the organization
- Operations by notoriety. Cybercriminal groups operate by notoriety and feed off each other with increasingly complicated challenges to expose the security of large organizations. The increase in cyberattacks is driven by the growing notoriety of attacks and feedback among cybercriminals. This has led to an increased frequency and severity of recent cyberattacks and the peculiarity that they are executed in what appear to be planned waves.
The lack of investment in cybersecurity
Of all the causes of the success of recent cyberattacks on any company, one triggers the rest and forms the basis of this: companies lack a real and solid culture of investment in cybersecurity.
Corporate cybersecurity strategies and tools require planned and continuous investment that responds to the objectives of permanent updating and incorporation of the latest technologies and the most evolved solutions.
To prevent attacks from succeeding, it is urgent that organizations incorporate into their investment culture the idea that they must be one step ahead of cybercriminals in technological updating and evolution as a foundation for business continuity and growth.
It is enough to compare what an organization may consider a high expenditure on cybersecurity with the value of its databases, industrial and intellectual properties, liquid assets, products and services, brand, the trust of customers, partners and investors, or the cost of an erroneous risk calculation, among other things, to visualize that it constitutes a profitable investment in the business.
In the current scenario, providing the corporate cybersecurity strategy with the most advanced technologies is not an option for organizations, but a necessity.
Cybercriminals quickly incorporate every technological innovation into the design and execution of their cyberattacks. Combating this growing and limitless sophistication with outdated tools or solutions not based on the latest technologies is impossible.
Actions to prevent cyberattacks on companies
Protecting yourself to avoid cyberattacks or minimising their consequences involves changing the traditional approach to cybersecurity and adopting one that goes beyond barrier protection with strategies such as:
Proactive Cybersecurity
In today's increasingly sophisticated cyberattack scenario, staying one step ahead is the only way to prevent them.
A proactive approach to cybersecurity involves anticipating threats before they occur. Instead of reacting to security incidents after they happen, a proactive approach seeks to prevent them.
This includes identifying system vulnerabilities in cybersecurity, implementing preventative measures, and ongoing staff training. Therefore, it involves using advanced technologies such as artificial intelligence to detect anomalous patterns, conducting penetration tests to discover weaknesses, and creating an incident response plan.
A proactive approach also involves keeping up with the latest trends and threats in cybersecurity and constant commitment from the organization to protecting its digital assets.
Third-party risk management
Due to the current scenario of interconnection between companies, a corporate cybersecurity strategy that does not include its third parties in the monitored and controlled attack surface is a failed strategy. Third-party risk management ensures that relationships with third parties do not compromise the organization's security.
This third-party risk management involves assessing and mitigating the risks associated with interacting with suppliers, partners, and other third parties. It includes access to sensitive data, systems integration, and reliance on critical services.
Organizations should conduct security audits, review third-party cybersecurity policies, and establish service-level agreements. However, it is crucial that the organization has state-of-the-art cybersecurity solutions that allow it to control and manage third-party risk continuously and in real-time for the duration of the business relationship.
NIS 2, the European Cybersecurity Directive that comes into force in 2024, elevates third-party risk management to a mandatory requirement for companies in critical or important sectors for the EU.
Locating Leaked Credentials
The location and identification of leaked credentials and passwords is essential to prevent the theft of data and critical information, as well as the execution of attacks that use social engineering techniques.
Detecting these breaches allows organizations to take steps to protect themselves, change compromised passwords, and strengthen their security policies. In addition, it helps identify patterns in leaks, which is useful to prevent future incidents.
Address the challenges of cyberattacks on businesses in the digital age with Kartos
Our Kartos by Enthec Cyber Intelligence platform enables organizations to implement a proactive cybersecurity approach based on detecting open breaches and vulnerabilities exposed for override before they are used to carry out a cyberattack.
Kartos XTI Watchbots continuously and automatically monitors the external attack surface of organizations to locate exposed vulnerabilities of organizations and their third parties.
In addition, Kartos uses self-developed Artificial Intelligence to ensure the elimination of false positives in search results.
To learn more about how Kartos by Enthec helps your organization protect against a wave of cyberattacks on companies, discover our solutions or contact us here.
Information Security: 5 Best Practices to Implement in Your Company
Digitalization is becoming increasingly relevant in companies, highlighting their dependence on new technologies. This makes information security essential to prevent companies from leaving their data unprotected.
In this post, we explain what it consists of and provide 5 good practices in information security to start implementing.
What is information security?
Information security protects information and information systems against unauthorized access, use, disclosure, interruption, modification, or destruction. It has become a critical obligation for organizations.
Companies of all sizes and sectors handle a wealth of information, from personal and sensitive employee and customer data to financial and intellectual property information. This information is a valuable asset that, if compromised, can cause serious harm to data subjects and significant damage to an organization's reputation and financial viability.
Therefore, organizations must establish procedures to ensure information security, protect against threats that may affect it, and ensure the continuity of their operations.
Procedures to Ensure Information Security
These procedures should include information security policies, access controls, information security training, security incident management, and disaster recovery and business continuity plans.
- Information security policies provide a framework for managing information security in an organization. These policies define employee responsibilities, security requirements for information systems, and procedures for handling security incidents.
- Access controls are measures that limit information access to authorized persons. These can include passwords, key cards, and two-factor authentication.
- Information security training is essential to ensure that all employees understand information security and their responsibilities regarding it. This training should cover topics such as the secure handling of information, identifying security threats, and responding to security incidents.
- Security incident management involves identifying, tracking, and resolving security incidents. These incidents typically include phishing attacks, data breaches, and different types of malware.
Disaster recovery and business continuity plans detail how an organization will respond to a security incident that results in a significant loss of information or operational capacity and nullify or minimize its effects.
Key Terms in Information Security
Three key terms allow us to understand the concept and constitute the characteristics of information security: confidentiality, integrity, and availability.
Confidentiality
It refers to the protection of information from disclosure to unauthorized parties. Confidentiality measures include data encryption, access control, and user authentication.
Integrity
In this case, it refers to protecting information against unauthorized modification or deletion. This ensures that the information is accurate and complete. Integrity measures include version control, backups, and intrusion detection systems.
Availability
It refers to ensuring that information and information systems are available for use when needed. Availability measures include system redundancy, disaster recovery, and business continuity planning.
These 3 characteristics of information security should guide organizations in the development of security policies, procedures and controls.
However, information security is not a one-size-fits-all solution that can be applied uniformly across organizations. Each organization must assess its own risks and develop an information security strategy that is tailored to its specific needs.
In addition, information security is not a static state, but an ongoing process. As threats and risks evolve, so do security measures. This requires constant vigilance, regular evaluation of safety policies and procedures, and ongoing user education and training.
5 Best Practices in Information Security
Among the best practices in information security, implementing these five in your company that we detail below is the starting point for any corporate information security procedure.
1. Security Updates
Security updates are critical to
protecting organizations' information systems.
These updates contain patches that address the latest software vulnerabilities. Keeping systems up-to-date minimizes the risk of cyberattacks.
Discover the foremost common types of cyberattacks through our blog.
2. Access to information control
Access control is another crucial practice. It involves ensuring that only authorized individuals have access to sensitive information.
The organization should implement role-based access control policies to limit access to information based on its category and the job responsibilities of its employees.
3. Backups
Regular backups are essential for data recovery in the event of information loss.
The organization should make backups on a regular basis and store them in a safe place. In the event of a cyberattack, backups allow information to be restored and operational activity to be maintained.
4. Password management
Effective password management is vital for information cybersecurity.
It's critical to encourage employees to use strong, unique passwords for each account, as well as to renew them regularly. Additionally, it is advisable to implement two-factor authentication to add an extra layer of security.
5. Staff Awareness
Finally, staff awareness is crucial in preventing the success of social engineering techniques. This is one cybersecurity tip that you should keep in mind.
Your employees need to be informed about cybersecurity best practices and how to identify potential threats. Regular training is critical for them to stay up-to-date on the latest threats and how to prevent them.
Kartos helps you protect the security of your company's information
Kartos XTI Watchbots, our AI platform for Cyber Intelligence and Cybersecurity, enables your organization to proactively, continuously monitor key aspects of information security in real-time, such as:
- Passwords Leaked and Exposed
- Leaked and Exposed Databases
- Leaked and exposed documentation
- CVEs
- Outdated items
- Value Chain
Through monitoring of the Internet, the Dark Web, and the Deep Web, Kartos detects exposed security breaches affecting your organization's information in real-time so that you can correct and nullify them before they are used to execute a cyberattack. Get to know our solutions!
Guidance on cyber security patch management
Guidance on cyber security patch management
By keeping systems up to date and protected against known vulnerabilities, organisations improve their security posture and reduce the risk of cyber attacks. This protection is achieved through cybersecurity patch management. Here we explain what it consists of, phases and best practices.
What is patch management in cybersecurity?
Patch management is an essential practice within cyber security that focuses on keeping computer systems up to date and protected against known vulnerabilities. Patches are software updates that vendors release to fix security flaws, software bugs and improve functionality. Patch management ensures that these updates are applied in a timely and effective manner, minimising the risk of exploitation by attackers. The importance of patch management lies in its ability to protect systems against cyber threats. Vulnerabilities in software can be exploited by attackers to gain unauthorised access, steal data, install malware or disrupt operations. Once detected, vendors provide updates, called patches, to correct them. By patching on a regular basis, organisations can close these security gaps and significantly reduce the risk of incidents. In this way, security patch management plays an important role in business continuity. Security incidents can involve significant disruptions to operations. By keeping systems up to date, organisations minimise the risk of disruption and ensure continuity of operations. In addition, patch management contributes to the stability and performance of systems. Importantly, updates not only fix security flaws, but can also improve the efficiency and functionality of software. This translates into a better user experience and increased productivity for the organisation. As an associated benefit, security patch management also aids in regulatory compliance. Many regulations and industry standards, such as the General Data Protection Regulation (GDPR) and the Payment Card Industry Data Security Standard (PCI DSS) or certifications such as ENS or ISO 27001, require organisations to develop a regular security patch management protocol to keep their systems up to date and protected against known vulnerabilities. Failure to comply can result in penalties and loss of certifications.
Phases of patch and update management
The patch and update management process generally consists of the following steps:
Identification
In this phase, vulnerabilities and necessary updates to corporate systems and applications are identified. It involves reviewing sources of security information, such as vendor security bulletins, vulnerability databases and security alerts. The main objective of this phase is to detect through proactive security any vulnerabilities that could be exploited by attackers. By identifying these vulnerabilities, the organisation can manage the necessary updates and patches to mitigate the risks. In addition, early identification of vulnerabilities allows the organisation to plan and coordinate the implementation of patches efficiently, minimising the impact on daily operations.
Asset management
During this phase, a detailed inventory of all IT assets, including hardware, software and devices connected to the network, is carried out. This inventory allows the organisation to have a clear view of the systems and applications that need to be upgraded. Asset management involves identifying and classifying each asset according to its criticality and function within the organisation. It helps prioritise patches and upgrades, ensuring that the most critical systems are upgraded first. It also allows for the detection of obsolete or unauthorised assets that could pose a security risk. Maintaining an up-to-date inventory of assets also facilitates the planning and coordination of updates, minimising the impact on day-to-day operations. You may be interested in→ The role of cyber intelligence in preventing digital fraud.
Patch monitoring
In this phase, the status of patches applied is continuously monitored to ensure that they have been installed correctly and that systems are functioning as expected. Monitoring involves the use of specialised tools and software that track and report the status of patches on all IT assets. It allows the organisation to quickly detect any problems or failures in patch deployment and take immediate corrective action. In addition, monitoring helps identify new vulnerabilities that may arise after patching, ensuring that systems remain protected. Maintaining constant vigilance also facilitates reporting and auditing, demonstrating compliance with security policies and regulations.
Prioritisation of patches
This phase involves assessing and ranking the available patches according to their importance and urgency. Prioritisation criteria may include the criticality of the vulnerabilities they address, the potential impact on systems and the availability of workarounds. During this phase, a risk analysis is performed to determine which patches should be applied first. Patches that fix critical vulnerabilities that could be exploited by attackers are usually given the highest priority. In addition, the impact on business continuity is considered, ensuring that patching does not disrupt essential operations. Effective patch prioritisation helps to minimise security risks and maintain operational stability. It is a balance between protecting systems and ensuring that updates are deployed in an orderly manner and without causing significant disruption.
Patch testing
In this phase, patches are applied in a controlled and isolated environment, known as a sandbox, before being deployed on production systems. The main objective is to verify that the patches do not cause unexpected problems, such as conflicts with other applications, system crashes or data loss. Extensive testing is carried out to ensure that the patch works correctly and does not introduce new vulnerabilities. In addition, the impact on system performance is assessed and critical functionalities are verified to ensure that they continue to operate as expected. This phase also includes documenting the test results and identifying any issues that need to be resolved before final deployment. The patch testing phase ensures that upgrades are performed in a safe and efficient manner, minimising risks and ensuring operational continuity.
Implementation of patches
The patch deployment phase is the last and critical step in an organisation's patch and update management process. During this phase, patches that have been tested and approved are deployed to production systems. The process begins with detailed deployment planning, including scheduling maintenance windows to minimise disruption to operations. Users are notified of the timing and expected impact of the upgrade. Patches are then applied according to a pre-defined plan, ensuring that the proper procedures are followed for each system. It is essential to monitor the process in real time to detect and resolve any problems that may arise. After implementation, additional testing is performed to confirm that the patches have been applied correctly and that the systems are functioning as expected. Finally, the process is documented and the success of the implementation is reported. This phase ensures that systems are protected and operational, with a minimum of disruption.
Best practice for patch management
In general, in order to maintain proper security patch management within the organisation, it is recommended:
Promoting accountability
Accountability implies that all team members understand the importance of timely and effective patching. It is achieved by implementing clear policies and assigning specific roles for patch management. In addition, it is essential to foster a culture of transparency and open communication, where patch status is regularly reported and potential vulnerabilities are discussed. Ongoing training and cyber threat awareness are also critical to ensure that staff are prepared to face challenges.
Creating a recovery plan
This plan ensures that, should a patch cause unexpected problems, the system can be restored to its previous operating state quickly and efficiently. A good recovery plan should include regular backups of all critical systems and data, as well as clear procedures for reverting changes made by patches. In addition, it is important to periodically test the recovery plan to ensure its effectiveness and update it as necessary. Detailed documentation and staff training are also crucial to ensure that everyone knows how to act in the event of an emergency. By implementing a robust recovery plan, organisations minimise downtime and reduce the impact of potential failures to maintain maximum operations.
Being intentional
Intentionality involves planning and executing patching with a clear and defined purpose. This includes carefully evaluating available patches, prioritising those that address critical vulnerabilities, and scheduling their implementation at times that minimise the impact on operations. In addition, being intentional requires effective communication with all team members, ensuring that everyone understands the objectives and procedures related to security patch management. It is also important to continuously monitor and evaluate results to adjust strategies as needed.
Find out how Kartos by Enthec can help you with patch and update management.
Kartos XTI Watchbots, the automated Cyber Intelligence platform developed by Enthec, provides organizations with information obtained from the analysis of CVEs in real time as defined in the standard.
In this way, organizations can know in real-time which corporate assets are outdated and, therefore, have exposed vulnerabilities that could be exploited to execute a cyberattack.
Contact us to learn about our cyber intelligence solutions and how Kartos can help you effectively manage your organization's patches and updates.
Threat hunting: 3 reasons why it is necessary to have it
Threat hunting is a proactive protection practice against advanced threats that is essential to maintain the integrity and security of an organisation's systems and data. Below we explain in more detail what threat hunting is and the relevance of implementing it in organisations.
What is Threat hunting?
Threat hunting is a proactive process of searching for and detecting cyber threats capable of evading traditional security defences. Unlike reactive methods that rely on automated alerts, threat hunting involves actively searching for suspicious or malicious activity within the system or network, both internally and externally. The primary goal of threat hunting is to identify, mitigate or nullify advanced threats before they can cause significant damage. This includes the detection of advanced persistent attacks (APTs), malware, exposed vulnerabilities and other risk factors that may not be detected by conventional security tools.
Threat hunting methodology
Now that you know exactly what Threat hunting is, it is essential that you discover its methodology. This process generally follows an iterative cycle that includes the following phases:
- Hypothesis. Threat hunting starts with the formulation of threat hypotheses based on threat intelligence, behavioural analysis and knowledge of the environment.
- Data collection. Data is collected from a variety of sources, such as event logs, network monitoring, and endpoint data.
- Analysis. The collected data is analysed for unusual patterns or indicators of compromise (IoCs).
- Research. If suspicious activity is identified, further investigation is carried out to determine the nature and extent of the threat.
- Response. If a threat is confirmed, measures are taken to contain, nullify or mitigate the impact.
Threat hunting uses a variety of tools and techniques including:
- Intrusion detection systems (IDS): to monitor and analyse network traffic for suspicious activity.
- Log and behavioural analysis: to review and correlate events recorded in different systems and identify deviations in the normal behaviour of users and systems.
- Threat intelligence: to obtain information on open breaches and exposed vulnerabilities on the web, dark web, deep web and social networks.
How to do Threat hunting: steps to follow
To carry out threat hunting effectively, the following key steps are necessary:
- Define objectives and strategy. Determine what you want to achieve, identify advanced threats or improve incident detection and develop a strategy containing the necessary resources, tools to be used and procedures to be followed.
- Form a Threat hunting team. The team must have experience in cyber security and data analysis, and it is essential that they are constantly updated on the latest threats and techniques.
- Collect and analyse data. Compilation through event logs, network traffic and Intrusion Detection Systems (IDS), automated Cyber Intelligence platforms...
- Formulate the hypotheses. Based on threat intelligence and behavioural analysis, hypotheses about possible threats are formulated and steps are defined to investigate each hypothesis.
- Execute the hunt. Active searches of collected data are conducted to identify suspicious activity. If indications of a threat are found, further investigation is conducted to confirm the nature and extent.
- Respond and mitigate. When a threat is confirmed, measures are taken to contain, nullify or mitigate its impact.
- Documentation and reporting. All findings and actions taken are documented and reports are provided to senior management and cyber security managers to improve defences and security strategies.
What is needed to start threat hunting?
To implement an effective Threat Hunting programme, it is necessary to prepare and organise several key components that will ensure its success. These fundamental elements include proper team selection, collection and analysis of relevant data, and integration of threat intelligence.
Human capital
Selecting the right threat hunting team is crucial to the success of the strategy. A threat hunting team should bring together a combination of technical skills, practical experience and the ability to work as a team. The threat hunting team should be composed of professionals with backgrounds in cyber security, data analysis, attacker techniques and procedures, with official certifications such as Certified Information Systems Security Professional (CISSP), Certified Ethical Hacker (CEH) or GIAC Certified Incident Handler (GCIH) and, if possible, extensive hands-on experience. The team must be able to work collaboratively and communicate their findings effectively to other departments and senior management. They should be continuously updated on cybersecurity and threats.
Data
To initiate threat hunting, it is essential to collect and analyse a variety of data that can provide indications of suspicious or malicious activity. This data should be extracted from event logs, such as system or security logs; network traffic, such as packet captures or network flows; endpoint data, such as activity logs or sensor data; threat intelligence, such as indicators of compromise or information gathered from monitoring external sources; user data, such as authentication logs or behavioural analysis; and data on exposed vulnerabilities and open breaches extracted from scans of the organisation's internal and external attack surfaces.
Threat Intelligence
Threat Intelligence focuses on the collection, analysis and utilisation of information about potential and current threats that may affect the security of an organisation. It provides detailed insight into malicious actors, their tactics, techniques and procedures (TTPs), as well as exposed vulnerabilities and open security holes that can be exploited to execute an attack. For threat hunting, threat intelligence acts as a solid foundation that guides the team in identifying and mitigating risks. By having access to up-to-date and accurate threat information, threat hunting professionals can anticipate and detect suspicious activity before it becomes a security incident. In addition, Threat Intelligence allows prioritisation of countermeasure efforts, focusing on the most relevant and immediate threats to the organisation.
Translated with DeepL.com (free version)
Outstanding features and benefits of Threat hunting
Threat hunting offers a number of key features and advantages that distinguish it from traditional security practices. The most relevant of these are highlighted below:
Proactive and immediate approach
Unlike traditional security methods that tend to be reactive, threat hunting empowers organisations to anticipate threats before they materialise. This proactive approach involves actively looking for signs of malicious activity rather than waiting for incidents to occur. By taking an immediate approach, threat hunting professionals can identify and neutralise threats in real time, minimising the potential impact on the organisation. This not only reduces incident response time, but also improves the organisation's ability to prevent future attacks. In addition, the proactive approach allows organisations to stay one step ahead of attackers by quickly adapting to new tactics and techniques used by malicious actors. You may be interested in→ Proactive security: what is it and why use it to prevent and detect threats and cyberattacks?
Continuous improvement
Threat hunting enables organisations to constantly evolve and adapt to new threats and tactics employed by malicious actors. Through threat hunting, security teams can identify patterns and trends in threats, allowing them to continuously adjust and improve their defence strategies. Continuous improvement involves a constant feedback loop, where threat hunting findings are used to refine security policies, update detection tools and techniques, and train staff on new defence tactics. This process not only strengthens the organisation's security posture, but also increases resilience to future attacks.
High adaptability
Through threat hunting, organisations can quickly adjust their defence strategies in response to emerging threats and the changing tactics of cyber attackers. Adaptability in threat hunting involves the ability to continuously modify and update the tools, techniques and procedures used to detect and mitigate threats. Thanks to this adaptability, security teams can respond more effectively to new challenges and vulnerabilities that emerge in the cyber security landscape. In addition, adaptability enables organisations to integrate new technologies and methodologies into their defence processes, thereby improving their ability to protect their critical assets.
Types of threat hunting according to need
To effectively address Threat Hunting, organisations can adopt a variety of models depending on their specific needs and the context in which they operate. Each Threat Hunting model offers a different approach to identifying and mitigating threats, adapting to different aspects of the security environment and protection objectives.
Intelligence models
These models focus on identifying cyber threats using Cyber Threat Intelligence. They enable organisations to identify suspicious activities and patterns of behaviour that could indicate the presence of malicious actors, as well as exposed vulnerabilities and open gaps in the network using indicators of compromise obtained from threat intelligence sources. They respond to the organisation's need to detect, monitor and understand threats at its external perimeter in order to neutralise them or respond effectively to their use by cyber criminals.
Hypothesis models
These models focus on the formulation of hypotheses about possible cyber threats. They rely on the knowledge and experience of security analysts to develop feasible assumptions about possible attacks and how they could be executed, as well as the vulnerabilities that could be exploited. They respond to the organisation's need to anticipate any type of threat and to proactively adapt to new threats as they emerge.
Personal models
These are advanced models that are tailored to the specific needs of an organisation. They are based on in-depth knowledge of the corporate environment, weaknesses and particular requirements, and use the organisation's own data and patterns to identify potential threats. They respond to the needs to detect specific threats, to adapt the strategy to its infrastructure and operations, and to optimise organisational resources. These models can be run through human teams, advanced Cyber Intelligence platforms that allow customisation of searches, or a combination of both.
Find out how Kartos by Enthec helps you in your Threat hunting strategy.
Kartos is the Cyber Intelligence platform developed by Enthec that allows you to develop a Threat hunting strategy in your organisation thanks to its capacity for continuous, automated and customisable monitoring of the internet, the deep web, the dark web and social networks in search of exposed vulnerabilities and open corporate breaches. Thanks to its self-developed AI, Kartos XTI is the only cyber intelligence platform that eliminates false positives in search results, thus ensuring the usefulness of the information provided to disable latent threats and vulnerabilities. In addition, Kartos by Enthec issues real-time alerts, sends constantly updated data and develops reports on its findings. Contact us to learn more about our Threat Intelligence solutions and licenses and how Kartos by Enthec can help your organisation implement an effective threat hunting strategy.
How to prevent social media phishing
Corporate identity theft or brand abuse on social media encompasses various tactics, from fake profiles impersonating the brand to distributing malicious content under the brand's name.
What is social media phishing?
In the digital age, social media has become integral to our lives and businesses, providing opportunities to connect, share content, and interact with diverse communities, including customers. However, this growing reliance has also increased phishing, fraud, and scam campaigns in these virtual environments. These criminal practices have evolved, including corporate identity theft to deceive users and customers and obtain confidential information or illicit enrichment. Social media impersonation, or brand abuse, involves creating fake accounts that impersonate the official profiles of well-known companies or relevant individuals.
In organizations, impersonators often meticulously copy logos, images, and communication styles to appear authentic. They frequently use active brand communication or promotion campaigns, copying them to attract customers maliciously. Its primary purpose is to trick users into revealing personal or financial information or to damage the company's image. The consequences of corporate identity theft are often severe. Customers lose trust in the brand, which decreases sales and engagement. In addition, the organization may face legal problems if customers suffer financial losses due to impersonation or if it has been used to commit other illicit acts.
Threat of the usurpation of corporate identity on social networks
The usurpation of corporate identity on social networks entails a series of
threats to organizations:
Profile forgery
Profile falsification is the basis of corporate identity theft on social networks. Criminals create fake profiles that mimic legitimate companies to trick users into obtaining personal or financial information. These counterfeit profiles can become very convincing and even indistinguishable without research. To appear authentic, they use logos, images, and brand language similar to the company's. They often post relevant content to appear genuine and gain followers. Once they have gained users' trust, these profiles are frequently used for various scams. These can include promoting fake offers, asking for payment details for non-existent products, or directing users to fraudulent websites where they are asked to provide personal information.
Phishing through social media
In the context of social media, fraudsters use sophisticated techniques to send direct messages or posts that appear to be from a recognized organization or institution whose identity they have usurped. Cybercriminals have adapted these tactics to the social media environment, taking advantage of users' trust and familiarity with these platforms. Thus, they use social engineering tactics to trick users into obtaining the sensitive information they seek. In a typical phishing scenario, criminals create fake profiles or pages that resemble those of a legitimate company. Then, they send enticing messages or posts that may include special offers, contests, or fake security alerts to lure users into clicking on malicious links. Once the user clicks on the link, they may be directed to a fake website that looks like the company's official website. Then, they are ordered to enter personal or financial information, which the criminals collect.
Posting malicious content
One of the most damaging threats of brand abuse on social media is the posting of malicious content.
Malicious content can take many forms, from false and misleading information to links to dangerous websites or malicious software. It can damage a company's reputation, sow discord, create conflicts, deceive customers, and steal valuable information.
Service Impersonation
Impersonation is another significant threat to social media in the context of corporate identity theft. Criminals create accounts that impersonate the brand's customer service, directing users to fake or dangerous sites or luring them into scams. These fraudulent services range from non-existent product offers to false customer support promises. Users, believing they are interacting with the real company, provide personal or financial information, make payments or make decisions based on incorrect information. Spoofing significantly damages an organisation's reputation. Customers who have been misled often associate their negative experiences with the real company, even holding it responsible for lack of sufficient vigilance and protection, which can lead to loss of trust and loyalty. There can also be a direct financial impact. If customers are tricked into buying fraudulent products or services, sales decrease. In addition, the organisation may face significant costs to mitigate the damage, restore its reputation or legally prove its lack of responsibility for the crime.
Preventing impersonation on social networks
Preventing social media phishing is critical to protecting your customers and your organization. A good strategy on how to avoid social media impersonation needs to include:
Monitoring social networks
By continuously monitoring social media, organizations can detect fraudulent use of their corporate identity on social media and prevent cybercriminals from using the brand with impunity to deceive customers. Continuous monitoring and analysis of the data it provides also help to identify emerging patterns and trends of brand abuse and proactively respond to the threat.
Establish a proactive protection strategy
When an organisation has a proactive social media brand protection strategy in place, the likelihood of the threat of maliciously targeted brand abuse decreases.
The proactive strategy allows the organization to stay ahead of brand abuse, detecting identity theft on social networks in real-time so that the organization can proceed with its cancellation before it causes significant damage. You may be interested in our publication→ Proactive security: what is it and why use it to prevent and detect threats and cyberattacks?
Being active in social networks
Although it may seem paradoxical, not opening corporate profiles on different social networks or remaining inactive on them not only does not protect against identity theft but also favors it. Having very active profiles on social networks allows users to become familiar with the brand's communication and more easily detect imitators. In addition, active profiles simplify checking a profile's integrity, which raises suspicions among users.
Protecting the brand with advanced technologies
The continued sophistication of cyber-attacks requires organizational protection that is up to the task and uses advanced strategies and technologies such as artificial intelligence and automation to provide the proper responses at the right time. Solutions based on artificial intelligence and machine learning identify fake profiles and malicious activity more effectively and quickly than traditional methods. In addition, they can automatically track active or latent fraudulent campaigns on social media until they are completely eliminated.
Consequences of corporate identity theft on social networks
Brand abuse often has serious consequences for an organisation:
Financial losses
Corporate identity theft on social networks leads to a decrease in brand value due to the loss of trust and a decrease in revenue due to the loss of sales to deceive customers. After a successful corporate identity theft on social networks, the organization must invest in powerful communication campaigns to regain some of its client´s trust. Furthermore, when cybercriminals use the stolen corporate identity to engage in illegal activities, fees are incurred to cover timely legal actions.
Reputational damage
A brand's reputation has a direct impact on its value. Corporate identity impersonation on social media damages an organization's reputation and brand. Fraudsters use the company's brand to spread false information or engage in unethical and criminal behavior, negatively affecting the organization's image.
Legal problems
Corporate impersonation raises legal issues when fraudsters use the brand to engage in illegal activities, as the organization will initially be held liable until it proves the impersonation. In addition, defrauded customers may keep the organization vicariously liable for the deception due to a lack of sufficient vigilance and protection and claim restitution for their financial loss from the organization, either legally or administratively. This also implies a legal or administrative defense.
Loss of customer trust
After interacting with or hearing about fake accounts that have impersonated the corporate identity, customers perceive that the organization is not taking adequate measures to protect its brand and, indirectly, them from scams.
They then become wary of interacting with the company on social media, proceed to avoid it, and are less likely to remain loyal to it.
Protect yourself from social media impersonation with Kartos by Enthec
Kartos Corporate Threat Watchbots, the cyber-surveillance platform developed by Enthec, continuously and automatically monitors the web and social networks to detect domains, subdomains, websites, and social profiles identical or similar to your organization's. Thanks to its self-developed Artificial Intelligence, false positives in findings are eliminated. In addition, Kartos monitors the phishing, fraud, and scam campaigns with corporate identity theft detected until their deactivation, with identification of the countries in which they are active, data, and alarms in real-time. Since this year, the Kartos platform has also offered a Takedown Service for fraudulent social profiles, domains and subdomains, and cloned websites detected by the platform. Contact us if you want more information on how Kartos can help you protect your brand from cloning and abuse on the internet and social networks.
The role of cyber-intelligence in preventing digital fraud
The role of cyber-intelligence in preventing digital fraud
Cyber intelligence has become an essential ally in the prevention of digital fraud, providing organisations with the ability to detect, understand and respond to this type of threat. In this publication we tell you everything you need to know about digital fraud.
What is digital fraud prevention?
Digital fraud prevention is a set of measures and strategies designed to protect individuals and organisations against fraudulent activities online. In today's digital environment, fraud has become a growing concern due to the increase in online transactions and the digitisation of markets and services. Preventing digital fraud is a multi-faceted effort that requires a combination of advanced technology, user education and robust regulations.
- User authentication is a crucial component of digital fraud prevention. It involves verifying the identity of users before allowing them to access online services. Common techniques include the use of passwords, two-factor authentication, facial recognition and biometrics.
- Monitoring for anomalies and vulnerabilities plays a vital role in preventing digital fraud. Fraud detection systems use machine learning algorithms to identify unusual or suspicious elements and behaviour, both on social networks and the web, as well as on the deep web or dark web.
- Cryptography is used to protect sensitive information. Sensitive data transmitted online is encrypted to prevent cyber criminals from intercepting it.
- User education and awareness are critical to prevent users from falling victim to digital fraud. Users need to be informed about common fraud tactics and how they can protect themselves.
- Data protection laws, such as the General Data Protection Regulation (GDPR) in Europe, oblige organisations to protect users' data and to report any data breaches.
Importance of digital fraud detection
Digital fraud detection is an essential part of online information security and plays a crucial role in protecting users and organisations. As the digital environment grows, the importance of digital fraud detection has become increasingly evident. Early detection of digital fraud:
- Helps protect financial assets. Online transactions have made it easier for organisations and individuals to do business, but they have also opened up new opportunities for criminals. Credit card fraud, phishing scams and other types of fraud lead to significant financial losses. Detecting digital fraud early prevents the possibility of these financial losses.
- It is essential to protect the digital identity of users. Detecting digital fraud prevents cybercriminals from prolonging corporate or personal impersonation over time, thus reducing the chances of success of the scam.
- It is crucial to maintain customer confidence. If customers do not trust the security of an organisation or its services, they will look for alternatives.
- It is important to comply with data protection and fraud prevention regulations. Early detection of digital fraud helps to avoid significant legislative sanctions, both national and international.
- It provides valuable information to improve security measures and develop more effective strategies to prevent fraud in the future.
Fraud risk management strategies
Among the different strategies that an organisation can adopt to protect itself from the consequences of digital fraud, there are a few that stand out for their importance.
Client education
Customer education is a crucial strategy for managing digital fraud. Customers must understand what digital fraud is and be aware of the common tactics used by cybercriminals. They must also be educated on how to protect themselves and be made aware of the dangers. It is important that they internalise actions such as creating secure passwords, regular software updates and using secure authentication. It is also essential that customers know how to quickly identify when they are being or have been victims of digital fraud and how to proceed to avoid or minimise its consequences. This customer awareness must be ongoing. As cybercriminals change and adapt their tactics, customer education must evolve to keep pace.
Monitoring through advanced technology
Continuous network monitoring helps identify emerging threats. Cybercriminals often use dark forums, the deep web, the dark web and social media to gather information, plan and execute fraud. By monitoring these environments, organisations are able to detect potential threats before they materialise. In addition, monitoring provides early warnings and helps organisations better understand their exposure to digital fraud risk. Thanks to technological advances, companies now have more sophisticated tools at their disposal to detect and prevent fraud. Artificial intelligence and machine learning are used to identify patterns of suspicious behaviour. These algorithms can learn from historical data and adapt to new forms of fraud. In addition, big data analytics technology allows companies to detect fraud almost as soon as it occurs. You may be interested in our publication→ How to protect yourself amid a wave of cyber attacks on businesses.
Compliance with current regulations
The regulations establish a framework that helps organisations protect themselves against fraud and provides them with clear guidance on how to deal with digital fraud. In this way, regulatory compliance ensures that companies implement the necessary security measures. In addition, organisations that fail to comply with the regulations can face significant fines, as well as reputational damage.
Cyber intelligence as an ally in the fight against digital fraud
Cyberintelligence is now emerging as an important and powerful ally for organisations to combat digital fraud.
Also known as threat intelligence, cyber intelligence is the collection and analysis of information originating in cyberspace in order to detect, understand and prevent threats. This discipline focuses on detecting exposed vulnerabilities and identifying patterns and trends in online behaviour, enabling organisations to anticipate and prevent digital fraud. Cyber intelligence enables organisations to detect threats in their early stages, facilitating a rapid and effective response. By continuously monitoring cyberspace, cyber intelligence detects vulnerabilities and identifies tactics and techniques used by cyber criminals, providing organisations with the information they need to protect themselves, update their defences and make informed decisions about fraud risk management and resource allocation. In addition, cyber intelligence helps organisations understand the threat landscape more broadly. This includes identifying threat actors, their motivations and methods. With this information, organisations can develop more effective defence strategies.
Future trends in cyber-intelligence and fraud prevention
The technology associated with cyberintelligence is continuously evolving. Among the most notable trends currently shaping the future landscape of cyberintelligence are the following:
- Artificial Intelligence (AI) and Machine Learning (ML). AI and AA are revolutionising cyber intelligence. These technologies enable organisations to analyse large volumes of data at high speed, identifying exposed vulnerabilities, patterns and anomalies that may indicate fraudulent activity.
- Predictive analytics. Predictive analytics uses statistical and AA techniques to predict future fraudulent activity based on historical data. This proactivity enables organisations to take preventative measures and minimise the impact of fraud.
- Automation. Automation will play a crucial role in cyber intelligence. Repetitive and high-volume tasks, such as transaction monitoring or data collection, will be automated, carried out continuously and in real time, allowing analysts to focus on more complex tasks.
- Collaboration and information sharing. Collaboration between organisations and the sharing of cyber threat information will become increasingly common. This will enable a faster and more effective response to emerging threats.
- Privacy and regulation. As cyber intelligence becomes more prevalent, so do concerns about privacy and regulation. Organisations will have to balance the need to protect against fraud with respect for users' privacy.
Protect yourself from digital fraud with Kartos by Enthec
Kartos is the cyber intelligence platform developed by Enthec that allows you to protect your organisation and your customers from digital fraud thanks to its ability to monitor the internet and social networks and to detect corporate impersonation, web cloning and active phishing campaigns. Thanks to its self-developed AI, Kartos XTI is the only cyber intelligence platform that eliminates false positives in search results, thus ensuring the usefulness of the information provided to disable latent threats and vulnerabilities. Contact us to learn more about our solutions and how Kartos by Enthec can help your organisation prevent digital fraud and manage risk.