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AI Governance & Security

Shadow AI, model risk, prompt injection, and data leakage controls — built for policy, visibility, guardrails, and auditability.

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AI governance briefing

Policy, visibility, guardrails, and auditability.

What CISOs need from AI right now

Policy + approvals

Clear rules for acceptable use, data handling, model access, and exceptions — with named owners.

Visibility

Discover Shadow AI usage, sanctioned vs unsanctioned tools, and where data is flowing.

Guardrails

DLP, conditional access, prompt controls, and safe-by-default configurations that don’t break the business.

Auditability

Evidence trails: who approved what, when, why — plus controls mapping for SOC 2 / ISO 27001 / NIST.

What we deliver

AI Governance Quickstart

  • Shadow AI discovery + risk triage
  • AI acceptable use policy + data classification alignment
  • Controls map: SOC 2 / ISO 27001 / NIST CSF
  • Guardrails plan: DLP, CASB, access controls, logging
  • Executive briefing + 30/60/90 rollout plan

Technical guardrails & integrations

  • Identity + RBAC model for AI tools and platforms
  • Vendor risk reviews + contract/security addenda support
  • Logging + detection for prompt injection & data exfil patterns
  • Secure SaaS integrations and third‑party app controls
  • Evidence pack for audits and board reporting

Recommended starting point

Board Risk Snapshot (4 weeks)

If AI is moving fast inside your org, start with a snapshot that identifies the highest-risk AI workflows, assigns owners, and produces an evidence-backed rollout plan.

See the 4‑week snapshot Talk through your AI risk