Continuous evidence. Without slowing adoption.

For finance. The CISO surface that lets security say yes faster. Shadow-AI detection, production trace analysis, policy enforcement, and framework-mapped evidence on one infrastructure.

What you walk in asking.

Three risks every CISO is carrying right now. We answer each on live evidence, not screenshots.

What is the unmeasured surface?

45% of AI adoption happens outside IT’s view. Shadow AI detection at endpoint, network, and identity-provider levels, risk-ranked.

Are the agents drifting?

The agent that passes staging fails production the week the model updates or the corpus refreshes. Continuous evaluation per baseline, not point-in-time certification.

Where is the evidence the auditor will accept?

Live control health, freshness per control, framework-mapped audit packs on demand. The auditor asks Tuesday, you answer Tuesday.

What we do for the CISO.

Four anchors. The CISO leads with risk. The other three workstreams run on the same evaluation pipeline.

AI Audit

Two-week deliverable. Shadow AI baseline, DLP exposure, and the agent inventory the GRC team has been chasing in spreadsheets.

AI Transformation

Capture-side workstream. The capture-side rationale that keeps the CISO inside the strategy meeting, not outside it.

AI Governance

Risk-side workstream. Policy-as-code, baselines per use case, and framework-mapped evidence on every interaction.

AI Fluency

Workforce-side workstream. The skill stack that lets the security team coach instead of block.

Evidence per control, fresh.

Live control health, framework-mapped, with source pointers. The quarterly checklist becomes continuous evaluation.

Evidence pipeline · livefresh 4m ago
Refund agent · tool authorizationNIST AI RMF · GOVERN-1.1
attested
Quote builder · prompt injectionISO 42001 · 8.4
attested
Underwriting agent · bias thresholdEU AI Act · high-risk
attested
Onboarding agent · PII filterpolicy-as-code
attested
80 surfaces monitored · MTTR p50 14h

Live evidence beats screenshots.

A chatbot handling 200,000 plus interactions a week cannot be assured through screenshot evidence. Continuous evaluation tells you whether the policy held, per use case, on the same data the auditor will see.

  • Shadow AI detection at endpoint, network, identity provider
  • Policy-as-code with baselines tuned per use case
  • Drift detection, alerted before the customer notices
  • Audit pack export against NIST, ISO 42001, EU AI Act

Book the AI Audit.

Thirty minutes to size the discovery surface: employees, devices, SaaS admin access, developer tooling, internal agents, Shadow AI exposure, and the outcome read you need at the end.