Over the years, zero trust has become a popular model adopted by organisations due to a growing need to ensure confidential information is kept safe, an aspect that organisations view as paramount in cybersecurity. Zero-trust is a vital security framework that is fundamentally not like the traditional security perimeter-based model. Instead of relying on a robust boundary, zero-trust grants access to its resources after the constant validation of any user and every device they use, regardless of an individual's position within an organisation or the number of years since one first employed with the company. This "never trust, always verify" policy only grants minimum access to someone, even a long-tenured employee, about what is needed to fulfil their tasks. Because information for cybersecurity is often log file data, zero trust principles can provide better safeguarding of this sensitive information.
Log Files: Why They Are Both Precious and Vulnerable
Log files contain information that reflects all the digital interplay happening on the network, hence can indicate any vulnerability on a system for remediation purposes. For example, it's a good source where one will trace how companies' activities go regarding their performance by analysing log files for anything out of place or anomalies in systems' behaviours for speedy intervention for security lapses. At the same time, however, these log files can expose organisations to vulnerabilities when wrong hands gain access because of possible theft of confidential data or the intention of hacking or modification. The log files have to be strictly controlled and limited only for authorization, because the misuse has to be avoided for maintaining the network secure.
Collecting and Storing Log Data Securely
Zero trust can best be implemented only if gathering and storing of log file collection and storage are sound. It ensures that the real-time data is collected in an environment that has a tamper-resistant place that prevents data from unauthorised modification. Of late, there has been OpenTelemetry, which is gaining popularity due to its potential in the multiple data sources and secure integration with many databases, mostly PostgreSQL.
Secure log storage applies blockchain technology. A decentralised, immutable structure like blockchain ensures logs cannot be altered and their records will remain transparent as well as tamper-proof. The reason blockchain technology works through multiple nodes rather than one central point makes it nearly impossible to stage a focused attack on the log data.
Imposing Least Privilege Access Control
Least privilege access would be one of the greatest principles of zero-trust security, which means that end-users would have only access to what is required to achieve their task. However, it can be challenging when balancing this principle with being efficient in log analysis; traditional access control methods-such as data masking or classification-frequently fall short and are not very practical. One promising solution to this problem is homomorphic encryption, which enables analysis of data in its encrypted state. Analysts can evaluate log files without ever directly seeing the unencrypted data, ensuring that security is maintained without impacting workflow.
Homomorphic encryption is beyond the level of the analyst. This means other critical stakeholders, such as administrators, have access to permissions but are not allowed to read actual data. This means logs are going to be secure at internal teams and thus there is a lesser chance of accidental exposure.
In-House AI for Threat Detection
Companies can further secure log data by putting in-house AI models which are run directly within their database and hence minimise external access. For instance, the company can use a private SLM AI that was trained specifically to analyse the logs. This ensures there is safe and accurate threat detection without having to share any logs with third-party services. The other advantage that an AI trained on relevant log data provides is less bias, as all operations depend on only relevant encrypted log data that can give an organisation precise and relevant insights.
Organisations can ensure maximum security while minimising exposure to potential cyber threats by applying a zero-trust approach through strict access controls and keeping data encrypted all through the analysis process.
Zero-Trust for Optimal Log Security
One of the effective log file intelligence approaches appears to be zero trust security-a security approach that uses the technologies of blockchain and homomorphic encryption to ensure the integrity and privacy of information in management. It means one locks up logs, and it is a source for valuable security insights, kept well protected against unauthorised access and modifications.
Even if an organisation does not adopt zero-trust completely for its systems, it should still ensure that the protection of the logs is considered a priority. By taking the essential aspects of zero-trust, such as having minimal permissions and secured storage, it can help organisations decrease their vulnerability to cyber attacks while protecting this critical source of data.
