LLMs and AI positioned to dominate the AppSec world


Dependency management only becomes more difficult as modern software moves towards distributed architectures, microservices, and substantial use of third-party and open source components, claims Endor Labs. The hazards connected with using open source software (OSS) that is already available for application development are examined in a new research paper on developing trends that software organisations need to take into account as part of their security strategy.

The report highlights the astounding popularity of ChatGPT’s API, how current large language model (LLM)-based AI platforms are unable to accurately classify malware risk in most cases, and how nearly half of all applications make no calls at all to security-sensitive APIs in their code base. Modern software development is increasingly adopting distributed architectures and microservices along with third party and open source components.

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