Agents are the new attack surface. Your existing tools do not see them.

AI agents now act on behalf of your employees: they run commands, move data, and install software. EDR, DLP, and network tools see the aftermath. Knostic governs the action itself, and gives leadership the picture.

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The question the board will ask.

Which AI agents are running in the company, what can they reach, and what stops one from doing damage? Knostic answers all three with an inventory, enforced policy, and a record of every prevented incident.

What Knostic gives leadership

Visibility

Before Knostic

AI adoption is happening in every department. Leadership hears about it from the vendor invoice or the incident.

After Knostic

A live inventory of agents and AI tools across the company, by team, with trend over time.

Prevention, not post-mortems

Before Knostic

An agent deletes production data or ships a credential. The first signal is the outage or the disclosure.

After Knostic

Dangerous actions are stopped before they run, and each prevented incident is recorded with its context.

Third-party risk

Before Knostic

Employees install skills, extensions, and connectors from open marketplaces with no vetting. A hidden instruction in one exfiltrates data.

After Knostic

Every component is scanned and rated. The dangerous ones never reach the agent.

Key capabilities

Executive dashboard

Adoption, coverage, and prevented incidents over time, in one view.

Inline prevention

Dangerous agent actions blocked before execution.

Supply-chain assurance

Verdicts on every skill, MCP server, and extension in use.

Evidence for disclosure and audit

Decision logs and inventory that map to the frameworks you report against.

One policy for the enterprise

Consistent controls across every team and tool.

Keeps the business moving

Teams keep their agents. Only the dangerous action stops.

Frequently asked questions

Agents act with employee permissions at machine speed. A single prompt-injected skill can exfiltrate data or disrupt operations, and current controls do not see the action until it is done.

It puts the decision point inside the agent, before the action runs, and records it. That is a control, with evidence, rather than a hope.

Kirin installs in the agents employees already use. Monitor mode first, then enforcement, team by team.

An inventory of AI systems, coverage by team, and prevented incidents with context, suitable for board reporting.