Artifact trust
Registry access, provenance, signing and promotion.
MLOps & AI security
Model deployment security
Secure model artifacts, serving identities, endpoints and release controls from registry to production. Ship and operate model-backed systems with clear data, deployment and monitoring boundaries.
01 / Scope
Work on the system, not around it.
The engagement starts with the architecture and working constraints already in place. We agree the risky paths, make the changes visible and leave ownership with the team running the system.
Serving identity
Workload roles, secrets, data access and tenant boundaries.
Endpoint
Authentication, authorisation, abuse controls and egress.
Release
Evaluation, approval, progressive delivery, rollback and kill switch.
02 / Method
Ship and operate model-backed systems with clear data, deployment and monitoring boundaries.
Scope and access are agreed before the work begins. Decisions, changes and residual risk remain visible throughout the engagement.
Trace data and model flow
Start with evidence, owners and the constraints that shape the safe solution.
Control the release path
Prioritise by practical impact and implement with the people who operate the system.
Observe behaviour in production
Test the changed path, document the decision and hand over a backlog that still makes sense.
03 / What remains
- 01Model-serving threat model
- 02Identity and endpoint findings
- 03Secure release-path implementation
- 04Rollback and incident runbook
Related work
Continue with the adjacent problem.
04 / Talk to Gritt
What is happening in the system?
Send the cloud, workload or deadline. An engineer will reply and tell you whether this is the right scope.
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