AI-generated code introduces significant security flaws, with only 55% of generated code being secure across various models ...

AI system prompt hardening is the practice of securing interactions between users and large language models (LLMs) to prevent malicious manipulation or misuse of the AI system. It’s a discipline that ...

Projects like the National Vulnerability Database (NVD) have become the international standard repository for all reported ...

As generative AI transforms business, security experts are adapting hacking techniques to discover vulnerabilities in ...

DevSecOps—ensures that security is embedded at every stage of the software development lifecycle (SDLC), rather than being ...

Security researchers are adding more weight to a truth that infosec pros had already grasped: AI agents are not very bright, ...

China's cybersecurity agencies accuse U.S. intelligence of exploiting a Microsoft Exchange zero-day flaw to breach a major ...

Conversational Memory: AI systems such as LangGraph and OpenDevin use vector embeddings—numerical representations of data—to ...