Governed in production. Accountable to audit.
The chapter enterprise buyers read twice. Security review, compliance mapping, model monitoring, and managed operations, built into the system, not documented after the fact.
The governance layer.
Threat modeling for AI systems: prompt injection, data exfiltration, access boundaries, and supply chain.
Controls map to SOC 2, ISO 27001, and emerging AI regulation, with evidence collected as the system runs.
Drift, cost, latency, and behavior tracked continuously. Alerts before users notice; immutable logs for audit.
We operate what we build, with SLAs, evaluation reruns after model changes, and a named engineer you can contact.
Operations, on a cadence.
Security review and control mapping for every system entering production.
→ Output: security & compliance reportContinuous evaluation and monitoring with monthly operational reviews.
→ Output: monthly ops reviewEvery model or prompt change re-runs the eval harness before release. No silent regressions.
→ Output: release evidence trail