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Controlled autonomy

AI Agent & Tool Security

Let agents act only within approved tool scope, policy context, and operator-defined boundaries.

Tool allowlistsAction scope enforcementIndirect injection defenseTool-call visibility
Designed for enterprise rollout, not lab demos.
Maps product behavior to policy, evidence, and operator control.
Keeps the control path readable for security, platform, and compliance teams.

What it does

AI Agent and Tool Security governs what an agent can invoke, how far it can act, and what evidence is captured along the way.

  • Restrict tool usage to approved destinations, methods, and operational scopes.
  • Inspect agent instructions and downstream tool calls before execution.
  • Record intent, decision, and action context for later review.

Why it matters

Agent systems fail when unrestricted autonomy turns model output into real-world action.

  • Reduce the risk of indirect prompt injection reaching privileged tools.
  • Limit agent blast radius with explicit action scopes and approval boundaries.
  • Make runtime behavior visible to platform, security, and policy owners.

Key capabilities

The focus is on runtime containment and operator confidence rather than unrestricted autonomy.

  • Tool whitelisting and route-aware action controls.
  • Execution scope policies tied to user, system, or workflow context.
  • Visibility into tool-call intent, arguments, decisions, and outcomes.
  • Operator hold points for sensitive or ambiguous actions.

Example enterprise use cases

The strongest use cases involve agents touching systems that can change state or move data.

  • Support agents with access to ticketing, CRM, or internal knowledge systems.
  • Workflow agents that must create tasks or retrieve restricted records under policy.
  • Developer or operations agents that need bounded access to automation tools.

Related compliance or governance value

Agent oversight is increasingly a governance requirement, not just an engineering preference.

  • Provide evidence of approved tool scope and operator review points.
  • Support accountability for automated actions taken on behalf of users or teams.
  • Strengthen governance narratives for high-impact or high-risk automation.

Related integrations

Agent security works best when it can sit between the orchestrator and the tools it can reach.

  • Agent frameworks, orchestration runtimes, and workflow engines.
  • HTTP APIs, internal services, and enterprise tools exposed to agents.
  • UMAI evidence exports and governance reporting flows.

CTA section

Move from policy intent to governed rollout.

Start with the tools that can change state, then expand control as agent maturity grows.

Define the approved tool inventory and action boundaries.
Place UMAI in the agent execution path and capture the first evidence trail.
Move sensitive actions behind review or stronger policy thresholds.