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Solutions / AI Agent Governance

Solution — AI Agent Governance

See Every Agent. Control Every Action. Without Slowing Down the Build.

88% of organizations report suspected or confirmed AI agent security incidents (industry survey data), and only 18% of organizations are highly confident their identity stack can manage agent identities at all (CSA/Strata, February 2026). Whiteswan governs AI agents at the MCP chokepoint — the point every tool call must pass through — so security gets visibility and control without becoming the reason agent deployment stalls.

The Trigger Moment

An Agent Did Something Unexpected. Or Security Just Found Out How Many Are Running.

This solution exists for the moment an AI/ML lead gets a message from security asking "what governs these agents," or a CTO mandate lands to get agent governance in place before a specific launch, or — more urgently — an agent already did something nobody expected and the postmortem starts with "we don't actually know what it had access to."

68% of organizations cannot distinguish agent actions from human actions in their own environment (CSA/Aembit, March 2026). That's not a governance gap that closes itself as agent adoption grows — it gets worse.

The Mechanism

Governance at the Chokepoint, Not a New Layer to Build Around.

01

Chokepoint visibility

Every agent and every tool call routing through the MCP layer is visible to Whiteswan — not a sample, not a periodic audit.

02

Cryptographic identity at spawn

Each agent gets its own SPIFFE/SPIRE-issued identity the moment it spawns, scoped to that session and retired when it ends.

03

Approve-before-connect

Tool calls are evaluated against policy before they execute, not flagged afterward in a log.

04

No rebuild required

Governance applies to what's already running. Whiteswan doesn't require changing how agents are built or which orchestration framework is in use.

This is the same mechanism detailed in full on the Agentic Gateway platform page — this page frames it around the governance outcome; that page goes deep on the architecture.

The Outcome

Visibility First, Control Second, Proof Always.

Swipe →

Capability What It Solves
Full agent and tool-call discovery "We don't know how many agents are running or what they can touch"
Approve-before-connect policy evaluation "An agent took an action nobody reviewed"
Next-call block / in-flight drain on violation "We found a problem — now what stops it from happening again right now"
Unified audit trail "Prove to security/compliance what actually happened"

For the AI/ML Lead

Ship governance fast, not a months-long deployment

This solution is built for the person who will use it most directly — not a security buyer by role, but the one generating the governance conversation by deploying agents. The pilot is designed to show working visibility quickly, on your own agents, without requiring a rebuild of how you've already deployed them.

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See It Working

Start a Pilot on Your Own Agent Environment