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Safety, Security & Runtime Controls

Tool Policy

Security gateway that enforces access controls, API whitelists, and usage permissions to prevent agents from executing unauthorized tools.

Three Pillars

Why This Becomes Necessary

AI agents can reason and escalate attacks independently, meaning individually low-risk tools can chain into high-impact outcomes without explicit, runtime-enforced permission controls.

What a Solution Must Provide

A production stack needs policy-as-code, ethical enforcement layers, compliance checking at invocation time, signed decision logs, and deterministic intervention mechanisms when a policy breach is detected.

Regulatory & Standards Angle

Human-oversight obligations become operational only when each tool call can be paused, attributed to accountable operators, and verified through compliance checking before execution.

Latest Articles

Related Primitives

Explore the Agentic Infrastructure Ecosystem

Relevant: EU AI Act Article 14 - Article 14 requires effective human oversight measures, which tool permission control planes with intervention mechanisms directly operationalize. Source
Research: Forewarned is Forearmed: A Survey on Large Language Model-based Agents in Autonomous Cyberattacks — Minrui Xu et al. Nanyang Technological University / University of Waterloo, 2025.
“Governance/Guardrails for LLM-based Agents: Developing effective governance for LLM-based agents is critical. Unlike traditional tools, these agents can reason and escalate attacks independently. To mitigate risks, agent architectures must embed safety constraints. Research should implement ethical enforcement, compliance checking, and intervention mechanisms.”
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