For enterprise buyers, trust is evaluated before capability. This page states our security and AI-governance posture precisely — current statuses, real controls, and nothing claimed before it is earned.
SOC 2 examination underway — controls implemented and operating.
We additionally completed the customer security review required for a production deployment in an aerospace & defense environment. We publish exact statuses here and display accreditations only from the day they are real — never a day before.
AES-256 at rest, TLS in transit, credentials encrypted and held in a managed secrets store. Your data stays in your environment.
SSO integration, role-based access control, least-privilege by default.
Human approval gates on every write-back. Segregation of duties preserved.
End-to-end logging: signal, recommendation, evidence, approver, action, result.
Every critical workflow is tested against customer-approved cases before go-live; exceptions and human corrections are tracked in production.
Every deployed workflow and agent run can be halted instantly — and nothing writes back without a named human approval.
Versioned, reviewable, reproducible — the model state behind any decision can be reconstructed.
No data shared across clients. Client-controlled model endpoints with zero-data-retention posture toward providers; customer data is not used to train shared models.
The only thing that crosses the boundary: governed prompts to client-controlled model endpoints — zero-data-retention posture, customer data never used to train shared models. No cross-client data, ever.
Client-controlled · ZDR · your choice of provider or self-hosted
Humans approve every write-back — segregation of duties preserved
Halt any workflow instantly; roll back any action
Our deployment methodology maps to Govern, Map, Measure, Manage — the language A&D and GovCon buyers already use.
Named accountability, approval architecture, segregation of duties, and policy for every deployed workflow.
Each use case mapped to its data, its systems, its failure modes, and the people affected — before build.
Test suites built from customer-approved cases before go-live; exceptions and outcomes tracked in production.
Monitoring, incident response, kill switch, and periodic review — production is a lifecycle, not a launch.
Known limitations, deployment options, subprocessors, and our standard security questionnaire are available on request while this page is built out — contact us.