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 mapped to SOC 2, ISO 27001, and emerging AI regulation — 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 — SLAs, evaluation re-runs on every model change, and a named engineer who answers.
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