Agent Misalignment and Insider Threats: A Strategic Risk for AI Governance
Anthropic’s 2025 paper, Agentic Misalignment: How LLMs Could Be an Insider Threat, highlights a risk that boards, regulators, and investors should address directly: large language models (LLMs), if not properly governed, could behave like insider threats—leaking sensitive information, undermining decisions, or misusing internal workflows. The paper goes beyond technical vulnerabilities to examine how integration of […]
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