AI Security Assessment
A review you can run twice and compare.
Most AI security reviews produce a document. This produces a score, an owner for every finding, and a tracked remediation plan you can measure against next time.
- 01
Scope
A short pre-flight establishes what you are actually running: data sensitivity, system connections and agency, external AI providers, and deployment architecture. It sets the depth of everything that follows.
- 02
Assess
We work through the Deepwater catalog across five pillars. Every question cites a recognized standard, and every answer carries a status, an owner and supporting evidence.
- 03
Score
Deterministic scoring per pillar and overall. The engagement is locked to a versioned question set, so the number does not drift when the catalog is updated.
- 04
Prioritize
Findings are ranked against business priorities rather than raw severity, so remediation follows what matters to the organization, not what scored worst.
- 05
Remediate
Every finding becomes a task with an owner and a due date, tracked on the Deepcurrent platform. Progress is visible between assessments instead of resurfacing at the next one.
What you get
A scored position
Per pillar and overall, with rating bands, so the result is a position rather than a narrative.
An executive report
A board-ready summary alongside the full detail, so the finding and the framing come from the same source.
A live remediation plan
Tasks with owners on the Deepcurrent platform, not a spreadsheet that ages out within a month.