AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Large language model (LLM) agents are becoming an integral part of the software development lifecycle, and the capabilities granted to them allow an agent to act with the user's authority on any resource it can access. The reach that gives an agent its utility is equally available to an attacker who can steer it. Anyth...
Large language models are informing decisions with ever-higher stakes. As the consequences of their errors grow, a central question becomes harder to ignore: how much can we trust an individual answer? Yet recognizing when to defer remains difficult because language models can present incorrect conclusions with fluent...
A developer-centric perspective is adopted and three representative risk scenarios that commonly lead to security vulnerabilities in LLM-generated code are identified: Ambiguous Requirements, Under-Specified Operational Context, and Security--Functionality Conflict are identified.
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