Continuous compliance, automated evidence, risk analytics and policy-as-code across hybrid infrastructure.
Talk to a GRC AIOps Specialist
Each service can be taken alone. They share telemetry, policy and runbooks when combined.
Test cloud, Kubernetes, Linux and IaC against mapped controls and fix approved violations.
Example scenario
Introduce a known violation, map it to controls, remediate it and show before and after evidence.
Replace manual evidence collection with scheduled collectors and automated control tests.
Example scenario
Generate an audit package with timestamped evidence and automated test results.
Update operational risk from incidents, vulnerabilities, failed controls and asset criticality.
Example scenario
Add a new exposure and failed controls, and watch residual risk rise automatically.
Turn governance requirements into executable policy for CI/CD, cloud and Kubernetes.
Example scenario
Block a privileged deployment, approve a temporary exception and show it expire automatically.
Track vendor risk using attestations, SLA incidents, questionnaires and approved external inputs.
Example scenario
Let vendor evidence expire and show risk, remediation and renewal status update.
Every service is built as a local-first lab, then extended to your private cloud and to AWS, Azure or GCP.
Ingestion health, processing latency, decisions, automation success and failure, overrides and false positives where measurable.
Validated, allowlisted actions with approval rules and least-privilege identities.
Healthy, false-positive, policy-blocked, automation-failure, rollback and telemetry-source-failure cases, all exercised.
Retained evidence for every decision, a short demo script, and setup, troubleshooting and cleanup documentation.
Rules every AIOps action follows, in every track.
AI output never goes straight to a shell, cloud API or cluster. It selects from validated runbooks.
Disruptive actions wait for a person. Low-risk, reversible steps can run on their own once you agree the rule.
Every action is followed by a health check, with rollback or compensation when the check fails.
Signals, scores, model or rule versions, approvals and results are retained and reviewable.
Adapted to the tools you already run.
Combine tracks to share telemetry, policy and runbooks.
Tell us what you run and where operations hurt most. We will suggest where to begin.
Talk to an AIOps Specialist