🧩 Software Integrity AI Engine

Why Integrate SCAs with Artificial Intelligence

Artificial Intelligence provides an extra layer of scanning the application for security issues that are not recognized earlier and need a vigilant method for identifying them. Since Artificial Intelligence can learn and adapt as per the given conditions, improving over time with previously seen attack data, provides a highly robust method to deal with newer security issues. This was not possible in previous generations where automation relied only on comparing available data. But with Machine Learning Models and AI, SCAs are adaptive to given conditions and have to ability to recognize patterns and cues leading to any potential security issues.

Myrror’s Mechanism of Integrity Checks with AI

Checking the integrity of an external dependency is particularly important due to supply chain attacks that can lead to tampering or even injecting malicious code into the packages. Scanning at each of the steps of production is not the problem, Myrror in itself is capable of scanning the application and tracking security issues after any movement in the supply chain. The major issue is to catch these injections and tampering that are not, particularly publicly disclosed vulnerabilities but are novel modifications in the package itself.

Myrror implements carefully trained AI models to monitor these packages for any signatures of malicious intent in them, that can potentially breach the security of the application. It’s important to understand the intent of the attacker here. A lot of dependencies are modified by organizations for their internal purposes and these are stored in their package managers or public package managers with mentioning of them (either privately or publically). In this case, comparing dependencies with public data would produce false results due to the detection of modifications. In this case, AI models can detect these changes and understand their actual intents. For example, if a code pattern indicating network connections is found, it may be a remotely controlled trojan or a simple network utility by developers to ping a server to check network connectivity during the runtime of the application. Hence, specialized AI models are required to distinguish these modifications and confirm the integrity of the applications.

Conclusion

Integrating AI with SCA tools for security checks has become nearly mandatory given their ability to efficiently adapt and learn from experiences as well as work as per the given conditions. Myrror equips itself with these advanced methods to protect its customers with tailored solutions to tackle modern threats and fuel secure cyberspace for the future.