IT governance, run by agents

The gap between knowing and fixing

Scanners and dashboards surface problems: a dormant Okta app, a terminated employee who still has access, a SOC 2 control with no evidence. Then the real work starts, and it is manual. Someone has to decide what to deprovision, draft the missing policy, plan the migration, and chase the owners. The finding is the easy ten percent; the remediation is the ninety that never gets staffed. Governance debt builds up not because teams cannot see the problems, but because seeing them is where most tools stop.

Assess, generate, remediate

Paragon runs one loop. You point a module at your stack and it assesses: a risk score, the violations and gaps, ranked by severity. Then it generates the fix. Every finding comes with the work to close it written out, a remediation plan, a drafted policy, a phased migration with approval gates, or a redaction. Not a ticket that says “review access,” the actual list of accounts to deprovision.

Remediation is the last step and the one that proves it worked. You run the plan with owners, effort, and dependencies already assigned, then re-run the module to confirm the score moved. The whole loop is logged per tenant, so the evidence the auditor wants is a byproduct of doing the work, not a separate scramble at the end.

Twelve modules across four surfaces

The same loop runs across twelve modules in one dashboard, grouped by the surface they govern. Identity covers the Okta App Auditor, Access Review, and HRIS Lifecycle design. Device covers the Migrations Planner for MDM and GitHub EMU cutovers. Compliance is the widest band: Google Workspace Auditor, IT Ops Copilot, Incident Postmortem, Spend and Vendor review, SOC 2 Gap Analysis, and HIPAA Readiness. AI covers Code Security and AI Prompt Security. Each scores its own surface and produces remediation in the shape that surface needs, a decommission plan, a phased migration, a policy draft, a redaction.

Built for the security review

Running agents against governance data only works if the controls hold. Every run is scoped to one tenant, so findings and audit entries never cross org boundaries. Each run carries a hard cost ceiling, so an agent loop cannot run away with the budget. Every assessment, plan, and policy draft is logged with timestamps and inputs, and system prompts are cached so repeated runs read from cache at a fraction of the cost. The economics and the controls both hold when you run twelve modules across a fleet. For one module up close, see our guide on continuous access reviews, or the Paragon dashboard for the full set.