Policy engine
Start with Octic-managed policies and add your own. Every resource is evaluated against them continuously.
Learn moreThe AI agents, MCP servers, and API endpoints in your stack, discovered, assessed, and held to your security policies. Move from manual triage to automated detection, with an owner and an SLA on every finding.
Detection-to-response
Continuous API, network, and kernel-level discovery finds new AI agents, MCP servers, and API endpoints as they appear. Sessions on personal Claude or Codex accounts are flagged too.
The risk register ranks each finding by its reach across the graph, so high-impact resources surface first.
Octic-managed and custom policies are evaluated against every resource continuously. A violation updates the trust state and opens a finding right away, not at the next audit cycle.
Every finding gets an owner, an SLA, and an event history you can export as CSV. An exception is time-limited and needs an admin's approval. Coming late 2026: remediation agents that propose concrete fixes, such as quarantining a flagged AI agent or revoking a leaked key, that a person approves before anything runs.
of organizations that experienced an AI-related breach lacked proper AI access controls.
IBM/Ponemon, 2025of organizations lack confidence in detecting shadow AI deployments.
Cisco Cybersecurity Readiness Index, 2025Capabilities
Start with Octic-managed policies and add your own. Every resource is evaluated against them continuously.
Learn moreFlagged AI agents and MCP servers, policy violations, and ownership gaps in one prioritized view.
Learn moreWill let you inspect the prompts, tool calls, and responses of AI agents in your own applications during an investigation.
Learn moreKernel-level sensors and packet-level analysis surface AI resources that API scanners miss, including unregistered AI agents and shadow deployments.
Learn moreSign up and install a sensor to see coding-agent sessions and spend, or book a demo for a walkthrough of the full control plane.