Nothing moves without your approval.

Clutch is the real-time governance layer for AI agents. A proxy gateway that sits between your agents and every system they touch — giving you a kill switch, anomaly detection, and human-in-the-loop enforcement across every vendor.

Built for teams deploying agents in

Financial ServicesHealthcareLegalInsuranceGovernment

Your agents are acting autonomously. Your oversight isn't.

Agents can't be detached

When an agent misbehaves, there's no unified way to cut the connection. Your kill switch is scattered across a dozen vendor dashboards — if it exists at all.

Anomalies go undetected

An agent making 10x its normal API calls at 3am. A workflow accessing data it's never touched before. Right now, you find out after the damage is done.

No audit trail for compliance

Regulators want to know: who approved this agent's action? When? With what authority? Today, most teams can't answer that question.

Uncontrolled agents compound mistakes at machine speed.

95%
of enterprise AI pilots fail to deliver measurable P&L impact
Not because the AI doesn't work — because organizations can't operationalize it safely enough to move past pilot stage. Governance is the bottleneck.
Glean / Industry Reports, 2025
90%
success rate for data poisoning attacks using just 5 injected texts
Researchers demonstrated that as few as five poisoned entries in a database of millions can manipulate agent responses. Without runtime governance, there's no detection layer.
IBM Agentic AI Security Guide, 2026
0
consensus best practices exist for securing agentic AI
The technology is moving faster than the security frameworks. Every company deploying agents today is writing its own playbook — or going without one entirely.
IBM / McKinsey, 2026

One gateway. Every agent. Total control.

Clutch sits in the network path between your agents and the systems they operate on. Nothing gets through without authorization.

01

Route agent traffic through Clutch

A single endpoint configuration change per agent. Point your agents at Clutch instead of their target APIs directly. No SDK. No code rewrite. No vendor lock-in.

02

Define governance policies

Set rules for what requires human approval — by action type, data sensitivity, dollar threshold, time of day, or anomaly score. Start with simple rules. Graduate to intelligent detection.

03

Intervene in real time

When a policy triggers, the agent pauses. The responsible human gets notified, reviews the context, authenticates via biometric verification, and approves or kills the action. The whole chain takes seconds.

The control plane your agents are missing.

Proxy Gateway Architecture

Clutch is the connection, not a wrapper. If you cut the gateway, the agent is talking to a wall. True network-level enforcement that doesn't depend on the agent cooperating.

Cross-Vendor Governance

One control plane for agents from OpenAI, Anthropic, LangChain, custom-built frameworks, and everything in between. No single vendor will build this — because it's not in their interest.

Anomaly Detection Adaptive

Behavioral baselines that learn what normal looks like for each agent. Unusual patterns — volume spikes, new data access, output deviation — trigger automatic review before the action completes.

Biometric Human-in-the-Loop

When intervention triggers, the responsible human authenticates via biometric or MFA, reviews full agent context, and approves or rejects. Every decision is timestamped and logged for auditors.

Compliance Artifacts

An immutable audit trail that answers the only question regulators care about: who approved what, when, and with what authority. Export-ready for SOC 2, HIPAA, OSFI, and financial regulators.

Fail-Closed by Default

If Clutch can't evaluate an action, the action doesn't proceed. Configurable per policy — fail-open for low-risk workflows, fail-closed for anything touching sensitive data or financial systems.

Security leaders agree: agent governance can't wait.

These aren't our words. This is what CISOs and security researchers at the world's largest organizations are saying publicly.

AI agents are goal-oriented to the extreme. They're unaware of the intention of the person driving them, but that behavior effectively makes these into God-like attack machines.
Luke HindsCo-Founder & CEO, Always Further (AI Security)Dark Reading, March 2026
There is a genuine fear-of-missing-out effect at all levels of organizations, and people are moving very quickly to adopt these technologies, even though the capabilities to effectively govern and secure them are still in very embryonic states.
Alfredo HickmanCISO, Obsidian SecurityDark Reading, March 2026
AI agents are essentially digital insiders whose risk must be managed in the way cybersecurity professionals have long managed other insider threats. What sets them apart is that they act — the threat comes not from what the agent says but from what it does.
IBM Security ResearchAgentic AI Security Guide, citing McKinseyIBM Think, February 2026
Data exposure isn't an inevitable outcome of agents. It can be mitigated with the right governance — identity-based access, least privilege, effective environment isolation, continuous monitoring, audit logs, and clear human oversight.
Pete BryanPrincipal AI Security Research Lead, MicrosoftDark Reading, March 2026

Deploy agents with confidence.

Teams in financial services, healthcare, and enterprise are using Clutch to govern AI agents in production. See how it works for your organization.

Create a free website with Framer, the website builder loved by startups, designers and agencies.