Typed operational graph
Frameworks, requirements, controls, policies, SOPs, evidence, vendors, systems, risks, incidents and tasks are first-class objects, not loose notes.
Agent-operated SecOps
CalibraOps turns controls, policies, evidence, risks, incidents, vendors, tasks and customer signals into a typed operational graph. Your Claude Code, Cursor or in-house agent executes through a governed CLI/API; CalibraOps keeps the facts, grounding and immutable audit trail.
What it is
CalibraOps is not another checklist UI and not a hosted AI agent. It is the typed framework, knowledge layer and governed write path that lets external agents and humans operate compliance without losing auditability.
Frameworks, requirements, controls, policies, SOPs, evidence, vendors, systems, risks, incidents and tasks are first-class objects, not loose notes.
Documents are chunked and indexed with Postgres FTS. Answers, policies and requirements cite controlled chunks instead of unverifiable summaries.
Every CLI/API write requires intent and rationale. CalibraOps records who changed what, why, when and with which cited material.
Recurring tasks, human work, agent queue items and execution history are organized around Task as the unit of work.
Typed graph
A standard clause maps to a unified control. A policy implements that control. A system component is in scope. An evidence source collects proof. An answer cites the exact chunk used. ChangeRecord closes the loop.
Operating model
One-time, recurring, conditional, human and agent-driven work live in a single task workbench.
Annual, quarterly or ad-hoc plans group work around compliance objectives without becoming the execution engine.
Events and task due dates appear in one calendar, while Event remains a calendar object and Task remains the execution unit.
Every agent run records skill, input, output summary, created/updated records, block reason and rationale.
Sovereign by design
CalibraOps is designed around self-hostable infrastructure: Phoenix/Ash, Postgres, Kratos/Hydra and static SPAs. No mandatory external AI service, no vector database and no vendor-controlled agent runtime.
Current production dogfood
CalibraOps is being operated against AlpineAds as the first production dogfood tenant: compliance planning, evidence health, vendor DPA review, access review, risks, incidents and change provenance are all modeled in the graph.
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