Home>Solutions>AI Security & Compliance

Security and compliance that ships regulated AI — not just slides about it

One evidence spine across SOC 2, ISO 27001, GDPR, HIPAA, NCSC and NIST. The security review passes first time, and the AI project doesn't lose two quarters.

AWS Advanced TierWAFR-backed delivery
THE PROBLEM

The Challenge

Regulated AI projects don't fail on the model — they fail on the security review. The same audit requests come back every quarter, the evidence is never in the right format, and the project loses six months it didn't have. None of it needs to be this hard. It needs to start in session one.

1

The security review stalls the build

Governance and compliance land as week-six questions instead of week-one decisions. The project restarts. The timeline slips by a quarter.

Fix

Treat the security review as a design constraint, not a handover requirement. We open every engagement with the compliance scope — before the first line of architecture is drawn.

2

Six frameworks, no single spine

SOC 2, GDPR, HIPAA, NIST, ISO 27001. Without a crosswalk, every audit is a from-scratch exercise.

Fix

Build the crosswalk first — a single evidence taxonomy where each piece of evidence serves multiple frameworks. One answer. Many auditors.

3

AI-specific risk is an afterthought

Standard frameworks weren't written with AI in mind. Model behaviour, hallucination risk, and inference security don't appear in standard checklists.

Fix

Close that gap with an AI-specific risk register built to NIST AI RMF, and inference monitoring controls that satisfy both teams and frameworks.

HOW WE ENGAGE

How We Deliver

01Phase

Compliance scoping & crosswalk

Weeks 1–2

Map which frameworks apply and what evidence each requires. Build the crosswalk — a single evidence taxonomy where each piece serves multiple frameworks.

  • Framework applicability assessment across SOC 2, ISO 27001, GDPR, HIPAA, NCSC, NIST
  • Evidence inventory — what exists, what's missing, what's in wrong format
  • Crosswalk build — mapping evidence requirements across all frameworks in scope
  • AI-specific gap analysis — what standard frameworks miss for your architecture

Output

Compliance scope agreed and signed off by your security lead before architecture begins.

02Phase

Evidence architecture & AI controls

Weeks 3–8

Design the security controls, data governance architecture, and model-behaviour guardrails that produce the evidence the frameworks need.

  • Access controls, IAM policy, and Lake Formation fine-grained permissions
  • Data lineage mapping and retention policy enforced in S3 lifecycle
  • AI risk register — model behaviour, hallucination, prompt injection, monitoring
  • Audit trail wiring — CloudTrail, GuardDuty, Security Hub configured and alerting
  • Incident response playbook — written, documented, and rehearsed

Output

Evidence pack complete and reviewed against each framework before WAFR is scheduled.

03Phase

WAFR sign-off & standing governance

Weeks 9–12

Well-Architected Framework Review delivered in-house. Security pillar plus AI lens. High-risk items get a named owner and closed date before sign-off.

  • WAFR prep — architecture artefacts built to AWS specification
  • WAFR session delivered — we hold the pen, you bring engineering context
  • High-risk remediation — plan, owner, and date agreed before sign-off
  • Standing governance cadence — quarterly evidence refresh and WAFR lens review

Output

WAFR signed off by AWS. Security review passed. Marketplace and ISV Accelerate unlocked.

WHAT YOU GET

What You Get

Permission to ship: The security review passes. The AI project doesn't lose two quarters to compliance debt. The team that built it gets to see it in production.

🔐

One evidence spine: SOC 2, ISO 27001, GDPR, HIPAA, NCSC, NIST — served from one crosswalked, living evidence set. The next audit doesn't start from scratch.

☑️

WAFR signed off: An AWS Well-Architected Review delivered in-house, signed off by AWS, and filed. Marketplace listing unlocks. ISV Accelerate unlocks.

🔄

Governance that runs: A standing cadence, automated evidence pulls, and a compliance dashboard showing status of every control at any point. The programme runs after we leave.

ENGAGEMENT SHAPES

Choose Your Engagement

AI-native teams

Compliance Sprint

Building something regulated and need security architecture in place before build lands in enterprise account.

  • Framework crosswalk built
  • Evidence architecture designed
  • AI risk register written
  • WAFR prep and delivery

Cost

Fixed fee

Duration

6 weeks

Most commonRegulated enterprises

AI Governance Build

Already live and need security sign-off before touching production data. Assess, build controls, crosswalk evidence, get WAFR done.

  • Current-state assessment against frameworks
  • Missing controls designed and implemented
  • Evidence pack built to specification
  • WAFR delivered — first-time pass

Cost

Fixed fee

Duration

8–12 weeks

Ongoing compliance

Standing Programme

The evidence spine is built. Ongoing monitoring, quarterly WAFR lens reviews, and a partner who knows your architecture.

  • Monthly automated evidence pulls
  • Quarterly WAFR lens review
  • Annual framework re-certification
  • Live compliance dashboard

Cost

Monthly

Duration

Annual retainer

Not sure which one fits?Book a discovery call
WE'VE DONE IT BEFORE

Related success stories

CONTACT US

Ready to pass the security review first time?

Let's build a compliance spine that serves every framework and unlocks your AI project.

Why talk to us:

Outcome-driven recommendations

AWS-recognised delivery expertise

Risk-aware AI adoption

Clear next step, not a sales pitch

Start with a focused 20-minute conversation about your goals — no pressure, no commitment.