Inline prevention
Destructive, exfiltrating, or policy-violating actions are stopped inside the agent, before execution.
An AI agent can drop a table, ship a credential, or install a backdoored extension in one tool call. Knostic puts the control inside the agent, so the action is checked before it runs and your team sees the alert as a prevention, not a breach.
EDR watches processes. DLP watches content. Code scanners watch commits. None of them see the moment an agent decides to run a command, and by the time they fire, the command has run. Knostic enforces policy at that moment.
An agent tidying stale data drops orders_live, reports 'Command completed', and checkout falls over. The alert arrives after the outage.
Kirin's hook denies the command before it executes, notifies the developer, and lands a Prevented alert in your dashboard and SIEM.
A skill with a hidden instruction exfiltrates ~/.aws/credentials. Nothing in the package looked wrong to the developer.
AgentMesh scans skills, MCP servers, and extensions continuously and flags the dangerous ones. Kirin refuses to install them.
Developers and business users install AI tools one after another. Your inventory stays at zero.
Every agent, model, and plugin on the estate, discovered and attributed, so the attack surface is known.
Destructive, exfiltrating, or policy-violating actions are stopped inside the agent, before execution.
Every prevented or flagged action streams to your SIEM with the prompt, the tool call, and the policy that fired.
AgentMesh marks every skill, MCP server, and extension dangerous, risky, or clean, with the findings behind the call.
Credentials in prompts, files, and outputs are caught and blocked or redacted before they leave the agent.
See unsanctioned agents and tools by user and team, with trend over time.
OpenAnt finds real, exploitable vulnerabilities in your code and eliminates false positives.
At the tool call. Kirin hooks the agent's actions and evaluates each one against policy before it executes, which is earlier than any endpoint or network control can act.
Alerts with full context: the user's request, the agent's intended action, the rule that matched, and the outcome. They flow to your SIEM and to the Kirin dashboard.
Yes. Policies run in Monitor until you switch them to Enforce, so you can baseline before blocking anything.
Yes. Claude Cowork is supported through a plugin, and the same policy engine applies.