Remediation agents
Purpose-built AI agents analyze risks identified by the observe and trust layers, then propose concrete fixes — quarantine an agent, revoke credentials, update a policy.
Remediate
Fix risks before they become incidents.
Octic closes the loop. Remediation agents analyze risks surfaced by the observe and trust layers, propose concrete fixes, and execute them with human-in-the-loop approval. Every action is auditable, every decision is traceable.
How remediation works
AI-powered fixes. Human-controlled decisions.
Human-in-the-loop approval
No action executes without explicit approval. Remediation agents propose, humans decide. Every approval is tied to an identity and logged for audit.
Codified playbooks
Define remediation playbooks for common risk patterns. When Octic detects a known scenario — unsanctioned agent, policy violation, ownership gap — the right playbook triggers automatically.
Automated response
For pre-approved risk patterns, remediation can execute without manual intervention. Set thresholds and let Octic handle low-risk fixes while escalating critical issues.
Incident containment
When a high-severity risk is detected, Octic can immediately contain the blast radius — isolating agents, blocking endpoints, or freezing credentials — pending human review.
Full audit trail
Every remediation step is recorded: what was detected, what was proposed, who approved it, and what changed. Export the timeline for compliance reviews or post-incident analysis.
The platform
Explore the rest of Octic.
See what's running in your AI stack.
Get a live map of every AI agent, MCP server, and API endpoint in your environment — in under 30 minutes.
Book a demo