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.

Book a security discovery call

AWS Advanced Tier

WAFR-backed delivery

AI SECURITY FRAMEWORK

Grade it, place it, triage it, prove it

Every AI use case travels the same four steps. The framework defines each step rigorously and tells you how much control to apply at each one. Nothing is exempt, but nothing is over-engineered either.

The security review stalls the build

Governance and compliance arrive too late, so the team has to redesign architecture and produce evidence after the fact.

FIX

We scope compliance from session one — before the first architecture decision is made.

Six frameworks, no single spine

SOC 2, ISO 27001, GDPR, HIPAA, NCSC and NIST all ask for overlapping evidence — but teams answer each one from scratch.

FIX

We create one evidence spine where each control supports multiple frameworks.

AI-specific risk is an afterthought

Model behaviour, hallucination risk, prompt injection, inference monitoring and data lineage are missing from standard checklists.

FIX

We build AI-specific risk controls into the system before production review.

HOW WE ENGAGE

How every AI use case moves to defensible sign-off

Four stepsthree dimensionssix control lenses

01 • GRADE

Score it, do not guess it

Three dimensions, one number. What the use case is built from, how much it can act on its own, and how sensitive the data it touches is.

02 • PLACE

Find its risk shape

Build mode on one axis, autonomy on the other. Where a use case lands tells you the risk shape and the depth of control it needs.

03 • TRIAGE

Route it to the right lane

The grade picks the lane automatically. Nothing waits in a queue it does not belong in, and nothing skips a queue it does.

04 • PROVE

Sign it off and defend it

Six control lenses applied at the depth the grade demands, with the artefacts that make the decision defensible months later.

RISK GRADING FRAMEWORK

A use case is never graded on gut feel

Three dimensions are scored independently to create a consistent, repeatable assessment of each AI use case.

Ownership

What is it built from, and who controls the model?

Agency

Can it act on its own, and who authorises the action?

Sensitivity

How sensitive is the data in scope? Escalates the grade upward.

Single risk band

Control depth + approval lane

Repeatable, so two reviewers reach the same answer
Three lanes, so low risk moves in minutes
Scored in minutes, not in a workshop
Same language for engineering, risk and leadership

Six control lenses

01Guardrails and action boundaries
02Identity and credential policy
03Observability and auditability
04Human oversight
05PII and sensitive-data handling
06Internal and external security vectors

The grading matrix and the sign-off pack

The full framework maps every combination of build mode and autonomy to a control depth, cell by cell, across all six lenses. It comes with the three artefacts that close a review.

Grading record

Risk profile

2-minute triage flow

Sign-off memo

THE EVIDENCE SPINE

One evidence model. Tuned to your regulatory context

Start with the cross-framework evidence spine, then tune controls, risks and priorities to your industry.

ALL INDUSTRIES

One evidence model across every framework.

Security teams shouldn't rebuild the same evidence pack for every audit. We map overlapping requirements across frameworks into one living evidence spine, so the same control can support multiple reviews.

Explore cross-industry success stories

EVIDENCE SUPPORTS

Access control
SOC 2 · ISO 27001 · NIST
Data lineage
GDPR · HIPAA · NIST
Audit trails
SOC 2 · HIPAA · NCSC
Risk register
NIST AI RMF · ISO 27001

FINTECH

Explainability is not optional.

In regulated financial services, every AI decision needs an audit trail. We prioritise explainability, FCA / SEC alignment and operational risk before a single line of code ships.

See how we approach FinTech

WHAT WE PRIORITISE

Regulatory explainability
Audit trails
FCA / SEC alignment
Fraud model governance
Model governance

HEALTH TECH

Sensitive data demands a different starting point.

Health tech AI must clear procurement gates, data governance requirements and clinical trust before it scales. We score use cases against these constraints from day one — so your roadmap survives the real environment.

See how we approach Health Tech

WHAT WE PRIORITISE

Data sensitivity
Procurement confidence
Clinical trust
HIPAA / GDPR alignment
Production safety

SAAS B2B

Enterprise-ready AI needs evidence customers can trust.

B2B SaaS teams often need to prove AI security, data controls and governance before enterprise customers will approve adoption. We prioritise the evidence, controls and review process needed to pass security questionnaires and procurement checks.

See how we approach SaaS B2B

WHAT WE PRIORITISE

Customer security reviews
SOC 2 evidence alignment
Data access controls
AI feature governance
Production approval

ALL INDUSTRIES

One evidence model across every framework.

Explore cross-industry success stories

EVIDENCE SUPPORTS

Access control
SOC 2 · ISO 27001 · NIST
Data lineage
GDPR · HIPAA · NIST
Audit trails
SOC 2 · HIPAA · NCSC
Risk register
NIST AI RMF · ISO 27001

ENGAGEMENT SHAPES

Choose the right compliance engagement

AI-NATIVE TEAMS

Compliance Sprint

Building something regulated and need security architecture and evidence in place before the build lands in an 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 the AI project needs security sign-off before touching production data. We assess, build the missing controls, crosswalk the evidence, and get the WAFR done.

Current-state assessment against all frameworks
Missing controls designed and implemented
Evidence pack built to specification
WAFR delivered — first-time pass rate is the target

Cost

Fixed fee per phase

Duration

8–12 weeks

ONGOING COMPLIANCE

Standing Programme

The evidence spine is built. You want 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 plan
Live compliance dashboard maintained

Cost

Monthly retainer

Duration

Annual term

Not sure which one fits?Book a discovery call

WE'VE DONE IT BEFORE

Need to get regulated AI through security review?

Book a focused 20-minute conversation about your AI security, compliance and evidence requirements. We'll help you understand which frameworks apply, where the risks sit, and what needs to be in place before production.

Why talk to us:

Cross-framework evidence guidance

WAFR-backed delivery expertise

AI-specific risk and control planning

Clear next steps, not a sales pitch

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

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