Find every AI agent. Know when one goes rogue.
Discover autonomous activity before it becomes invisible risk.
Clarip identifies software acting autonomously across enterprise AI traffic — including agents that were never formally registered or approved.
Continuously monitor how agents behave, detect meaningful changes and respond when autonomous activity moves outside expected boundaries.
See it. Investigate it. Restrict it.
Agents don’t always look like agents.
Autonomous AI can originate from scripts, internal tools, SaaS products, copilots, workflows and software acting on its own behalf. Clarip observes the traffic itself to identify agent-like behavior and distinguish autonomous requests from ordinary human use.
DISCOVER
Identify autonomous software calling AI services.
CLASSIFY
Separate human activity from agent activity.
ATTRIBUTE
Connect activity to owner, client, service and observed behavior when available.
Agents change. Clarip keeps watching.
An agent may behave normally today and become risky tomorrow. Clarip continuously analyzes agent activity for signals that indicate the agent has changed capability, scope, timing, data use or execution pattern.
Detect the behavior change — not just the bad outcome.
Clarip identifies unusual patterns such as new service surges, service drops, volume spikes, capability escalation and agent data leaks.
Restrict the agent — not the whole machine.
When a specific autonomous agent becomes risky, Clarip can restrict that agent at the AI Gateway across services while allowing legitimate human activity on the same machine to continue.
Contain the autonomous risk without unnecessarily disrupting the employee.
Know who owns it. Know what changed.
Investigations become faster when agent identity, owner, client, requests, services, signals and last-seen activity are in one place.
finance-python-agent
Owner: finance-automation@company.com
Turn discovered agents into governed agents.
Not every unknown agent is malicious. Clarip lets governance teams review discovered autonomous activity, understand the evidence and move legitimate agents into an approved operating model.
Approved agents become part of the governed inventory.
Restricted agents remain blocked at the gateway.
Put a control agent behind your agent population.
C-AgentsTM give enterprises reusable command and control around discovered AI agents — applying policy by agent, team, service, network, data type and risk condition.
When something changes, route it to the teams that respond.
Send meaningful AI risk events into operational workflows through integrations such as Jira, ServiceNow and Slack.
Know which agents are operating before they become invisible infrastructure.
Discover autonomous AI activity. Detect rogue behavior. Investigate the evidence. Restrict risky agents.