Soon, there will be more AI agents than humans on Earth.
The agentic enterprise needs a new kind of control.
Introducing C-AgentsTM — control and command agents built to monitor and manage AI agents across the enterprise.
C-AgentsTM enforce policies, protect sensitive data, detect rogue behavior and control AI traffic across agents, models and vendors.
Any agent. Any model. One control plane.
Agents do the work. C-AgentsTM control the work.
OpenAI
Anthropic
Gemini
xAI
Mistral
DeepSeekThe agent population is arriving fast.
of enterprise applications are expected to include task-specific AI agents by 2026, up from <5% in 2025.
Source: Gartnerof leaders expect to use digital labor to expand workforce capacity within the next 12–18 months.
Source: Microsoftof organizations surveyed are already experimenting with AI agents.
Source: McKinseyof enterprises say they have mature governance in place for agentic AI.
Source: DeloitteAI agents are scaling. Control isn't.
Discover. Govern. Enforce. Enable.
Clarip gives enterprises real-time visibility and control over AI services, AI traffic and autonomous agents — with runtime guardrails enforced through C-AgentsTM and the Clarip AI Gateway.
AI Activity
C-AgentsTM control all other AI agents.
C-AgentsTM provide a common command layer for the agents operating across your enterprise — regardless of model, vendor or framework.
Explore C-AgentsTMRogue agents don't announce themselves.
Clarip continuously analyzes agent behavior for signals such as new tool access, capability escalation, new sensitive data, prompt injection, system prompt changes, unusual hours, loops, traffic spikes and scope creep.
Governance that doesn't stop at policy. Clarip enforces it.
The Clarip AI Gateway provides the runtime enforcement layer for enterprise AI. It observes AI traffic, evaluates activity against enterprise policy and applies controls as interactions occur.
You can't govern what you can't see.
Clarip continuously discovers AI services and agent activity across the enterprise — revealing sanctioned, unapproved and restricted AI usage together with the people, software and traffic behind it.
Discover Shadow AI
Find the AI services operating across your environment.
Measure Real Exposure
Understand activity, usage and risk as it happens.
Know Every Provider
See the models and vendors behind every interaction.
Protect the data. Keep the AI moving.
PII Shield
Contact Data Redaction
Generative Media Guard
High-Risk Vendor Lockdown
More autonomy requires stronger guardrails.
An AI agent can repeat a mistake across thousands of interactions, expose sensitive information, or continue consuming resources long after a useful task has ended. Written policies alone cannot intervene when that happens. Runtime guardrails turn enterprise expectations into practical boundaries—controlling which services can be used, how sensitive data is handled, and when risky activity should be restricted. That gives teams a clearer path to adopting AI while maintaining oversight.
Control AI costs
Get more from your AI investments
The value of AI governance extends beyond risk reduction. Visibility into usage, request limits, and token controls help enterprises identify excessive consumption and contain runaway agent activity. Targeted guardrails help preserve productive workflows while restricting risky behavior, and a shared governance record gives security, privacy, and technology teams a common basis for decisions. The result is a stronger foundation for protecting enterprise data, managing AI spending, and scaling the AI initiatives that deliver business value.
AI may be new. Enterprise data control isn't new to Clarip.
The world doesn't need fewer AI agents.
It needs better control.
Clarip is the control plane for the agentic enterprise.
See every AI. Control every agent. Protect every interaction.