AI security is an emerging discipline focused on governing the deployment and operation of AI systems, addressing new risks that traditional security tools cannot handle. These risks include prompt injection, data exfiltration via authorized tool calls, and tool poisoning, which occur at the model call and tool call layers. Specialized AI control planes are being developed to enforce policies and provide visibility into agentic workflows, spanning across identity, endpoint, network, application, and data layers. AI
IMPACT New security paradigms are needed to manage risks introduced by AI agents, impacting how enterprises deploy and govern AI systems.
RANK_REASON Article discusses a new category of security tooling and frameworks for AI systems, rather than a core AI model release or research.
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