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3 articles tagged LLM Governance.
Enterprise deployment of autonomous AI agents introduces critical security vulnerabilities including prompt injection, goal hijacking, and tool misuse. This analysis outlines hybrid architectural strategies, deterministic validation frameworks, and governance protocols required to safely integrate probabilistic AI into high-stakes business workflows.
A strategic analysis of the shift from code-centric to agent-centric security. Key insights on managing non-deterministic AI behavior, the security implications of agent skills, and the necessity of agentic security frameworks for enterprise adoption.
Agentic AI introduces novel security vectors, including prompt injection and context supply chain attacks. This analysis outlines the 'Lethal Trifecta' of agent vulnerabilities and provides a framework for implementing least-privilege controls, context manifests, and human-in-the-loop governance to mitigate risk in AI-native engineering teams.
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