AI Agent Governance

Broad access. No guardrails. No cleanup.

Users give agents more access than they need from day one, and they don’t go back to fix it. Without evidence of what each agent actually uses, permissions accumulate silently across platforms and your blast radius grows continuously.

Unsecured Agents

800+

Risky agents are already live in enterprise environments

Agents are shared with permissions scoped for convenience, not least privilege.

MACHINE SPEED

16x

AI moves much more data than any human-powered workflow

Agents continue to read and move whatever data they can access, intentional or accidental, without hesitation.

ATTACK SURFACE

90%

Agent permissions granted are unnecessary and unused

Access accumulates silently across platforms as agents evolve and expand, and it is rarely revisited.

Discover and govern every agent.

Spot agents running on embedded credentials that enable privilege escalation and prune unnecessary integrations to shrink their blast radius.

Reduce the attack surface

See evidence of stale connections to reduce unused access without breaking your agent’s workflows.

Follow least privilege

Spot agents that would grant a lower-privileged user access they were never meant to have.

Own the full lifecycle

Ensure no agent silently accumulates too much privilege, or holds access its owner no longer controls.

Never miss a risky agent

Real-time views of every agent’s access and permissions keeps least privilege continuously in place.

Govern agent access and privileges just like your human users

See in action

Get a live view of every agent's access and privileges across the apps, APIs, and tools they call. See risk alerts when agents are vulnerable to privilege escalation or confused deputy attacks.

Always see and track agent actions across platforms like Copilot Studio, ChatGPT, Google Vertex, Salesforce Agentforce, n8n, and more

Know the severity of every agent’s risk factors as soon as they are published or modified

Compare what tool each agent is entitled to access against what actions it actually takes to find and remove stale connections. Every recommendation is backed by behavioral evidence so you can shrink each agent's blast radius without breaking the workflows that depend on it.

At any moment see which integrations are inactive backed by ongoing visibility into every agent’s behavior and executions

Spot when broadly shared agents touch sensitive data to prioritize governance and protect against data exposure

Coverage across every platform your teams build on

Out-of-the-box integrations with all major agent and enterprise application platforms, so you can get full visibility and governance within hours.

See all our integrations

Start with governing agents. Go deeper with apps.

Start securing AI agents on day one with out-of-the-box visibility, governance, and runtime protection. Then pair agent data with additional application context to surface and stop risks that neither source reveals alone.

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Agents Only

Connect your AI platforms for continuous control over your agents.

Discover every agent, its owner, connected tools, and whether data exposure risks exist

Score agents against OWASP aligned risk factors like connectors with embedded credentials and org-wide access

Spot agents running with more access than their workflows require and prune stale connectors

See when agents are configured to let anyone outside the org bypass access controls

Flag agents that would grant a lower-privileged user access they were never meant to have

Agents + Enterprise Apps

Connect enterprise applications to enforce fine-grained governance controls.

Map every agent to its app-level service accounts to audit the permissions it actually holds

Surface platform-level posture vulnerabilities like privileged accounts tied to external email domains

Right-size agent permissions based on actual app usage and ensure users hold proper app permissions

Block users from reaching apps through shared agent credentials they were never authorized to hold

Stop agents from executing actions that result in privilege escalation across connected apps

Targeted insights to help secure your AI agents

Frequently asked questions

How does the platform decide whether an agent has too much access?

It compares what each agent is entitled to access with what it actually uses. Recommendations are backed by behavioral evidence so teams can remove stale connections without breaking workflows.

What risks can it help uncover besides excessive permissions?

It highlights risks tied to privilege escalation, confused deputy attacks, impersonation risks, embedded credentials, and real-time permission drift. It also surfaces AI-specific risk factors like maker mode, org-wide access, and public exposure.

Can it identify agents or connectors that should be removed?

Yes. It can find dormant agents, inactive connectors, and orphaned agents that still retain privileged access after their original use case ends.

What does it inventory across the environment?

It inventories agents, users, MCP servers, LLMs, owners, and connected tools. It also gives a live view of agent access and privileges across apps, APIs, and related systems.

Why combine AI agent insights with SaaS and identity telemetry?

Because agent data alone can miss risks that only appear when you correlate it with SaaS and identity context. This helps reveal issues like privileged accounts tied to external email domains or agents accessing sensitive data across different SaaS apps.

Does it support multiple AI agent platforms?

Yes. The page lists support across platforms such as n8n, Agentforce, Vertex, Copilot, Foundry, Bedrock, ChatGPT, Cursor, and Claude.

Ensure agents only access what their workflows require.

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