Govern Every AI Agent Action.
Agentic AI Authority provides identity authorization and governance for AI agents, helping you manage what they can access and under what conditions. Enforced across every agent action, API call, and delegation chain.
Runtime Governance · Least-Privilege Subsessions · Full Audit Trail
91%
Of AI agents are over-privileged
100%
Action-level audit coverage
Real-time
Runtime authorization
Problems We Solve
Identity Threats Live Between Authentication Events.
Agents exist. But you can't trust what you haven't registered.
Before an agent can be governed, audited, or revoked, it needs a defined identity and a registration record. In many enterprise environments, that foundation does not exist. The identity infrastructure that would make their actions reliably attributable, scoped, or revocable was never built.
Over-privileged Agents approved to act. Authorized to do anything.
When you enable an agent to act on your behalf, it inherits all the rights and privileges you have on that tool, not a scoped subset. An agent approved to process invoices is technically authorized to perform everything the parent account can. Without tool restrictions, transaction limits, or time-based controls, the agent can request expanded access without a clear permission boundary or a reliable way to detect drift.
Shadow Agents approved to act. No record of who authorized it
When a regulator asks which human authorized a specific AI decision, the delegation chain that would answer that question was never recorded. Autonomous agent-to-agent handoffs are invisible, and post-incident log analysis tells you what an agent did, not who tasked it, what it was scoped to do, or where the authorization chain broke.
Deployed to work. Your riskiest AI agents aren't registered.
Business units and developers are deploying agents independently, often without IT or security review. These shadow agents access enterprise data, call internal APIs, and operate autonomously with no entry in any registry, no policy applied, and no one aware they exist until something goes wrong.
AI Agent Identity & Governance
Core Capabilities
Every Agent Known. Every Action Traceable
- Agent Identity and Discovery assign every agent instance a unique cryptographic identity at spawn, automatically registers it in a centralized trust registry, and binds credentials to that specific instance. Shared credentials and lateral movement risk are eliminated before the first API call.
- Every agent action is traceable back to a single, revocable identity, including agents built in Azure AI Foundry, Amazon Agent Core, or any agentic framework your teams deploy.
Give Agents Only the Authority Scope They Need
- Authority Chain Governance enforces intent-scoped delegation using Rich Authorization Requests, with hard guardrails on spending limits, data access boundaries, and maximum delegation depth that no agent can override. Agents receive a scoped subset of the delegating user's permissions, never the full set.
- Every permission is traceable back to the human who originally delegated the task, with a complete chain of who authorized what through which agents.
Maximum Protection for High-Risk Actions
- Runtime Security and Tool Governance classifies every API and MCP tool into tiered security profiles that automatically apply the right authentication and enforcement, from standard policy-only for low-risk lookups to mutual TLS with intent verification for payment execution and regulated filings.
- The appropriate level of security is automatically activated based on what the tool accesses, with no manual configuration required.
Instant Containment for Agent Threats
- Instant Quarantine delivers a three-tier response: immediate deny-all, certificate revocation, or graduated scope reduction. The circuit breaker pattern propagates through the token cache, invalidates all derived tokens, and alerts your SIEM with full delegation context.
- Security teams can also manually trigger quarantine when an agent is behaving unusually, without waiting for automated thresholds to be met.
Baseline Every Agent. Catch Every Drift.
- Behavioral Analytics builds a per-agent baseline over 14 to 30 days and continuously scores for scope expansion, anomalous transaction volume, metadata drift, and tool access changes.
- An agent that accessed patient data last month and is now attempting to access HR data is flagged before the transaction completes, not discovered in a post-incident review.
Every AI Agent Decision. Fully Traceable.
- Tamper-Proof Audit Trail captures every agent action as a cryptographically signed, examiner-ready record: which agent acted, who delegated authority through which agents, which tool was invoked, which policy applied, and what the outcome was.
- Full delegation chain tracing closes the accountability gap that SOX, OCC, EU AI Act, and HIPAA requirements demand, including which clinician, compliance officer, or portfolio manager originally authorized the workflow.
Your AI Agents Have More Access Than Most Employees. Who's Watching Them?
91% of AI agents are over-privileged. 78% have no audit trail. Shadow agents are the next insider threat.
Action-level authorization
Every read, write, and API call by every agent is authorized in real time. Not just at deployment, at every action.
Shadow agent detection
Identify and block unauthorized AI agents operating in your environment. If it's not registered, it can't act.
Complete chain of custody
Every agent action is logged, attributed, and auditable. When regulators ask what your AI did, you have the answer.
91%
Of AI agents are over-privileged (Gartner 2025)
78%
Of AI deployments have no audit trail
64%
Of organizations can't detect shadow AI agents
Ready to see how Agentic AI Authority governs Your AI Agents?
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