Enterprise Services • ES-08
AI Security & Red Teaming
Test AI systems the way an adversary would, then prove the fix.
Scope
What the engagement covers.
AI systems fail in ways traditional testing misses: instruction hijacking, data leakage through outputs, tool misuse and excessive agency. This service tests those paths and validates remediation.
Included capabilities
- Threat modelling for AI, LLM and agentic systems
- Adversarial testing: prompt injection, jailbreak, data extraction, unsafe output
- Tool misuse, excessive agency and access-control failure in agent systems
- Model extraction, data poisoning exposure and supply-chain review
- Secure AI lifecycle requirements and remediation validation
Outputs and deliverables
- AI threat model and trust-boundary diagram
- Red-team plan, test cases and execution log
- Findings report with reproduction and impact rating
- Remediation validation and residual risk statement
Workflow
How it is delivered, step by step.
Each step has an owner, an entry condition and an artefact that has to exist before the next step begins.
01ModelMap trust boundaries, data flows, tools, memory and privilege.
02PlanTest cases derived from the threat model and the deployment context.
03TestAdversarial execution against the system in a controlled environment.
04ReportFindings with reproduction steps, impact and remediation guidance.
05ValidateRetest after fixes and confirm the control holds under variation.
Use cases
Where this is typically applied.
Agentic automation with authority to act on real systems
Vendor AI product being assessed before procurement
Delivery model
The operating pattern for Enterprise Services.
The same delivery discipline applies across every capability in this line, so combined engagements stay coherent.
Assess
Current state, obligations, control coverage, gaps and material risks.
Design
Target architecture, control library, policy set, roles and evidence model.
Implement
Build controls into platforms, workflows and delivery pipelines.
Operate
Run the function, or coach the client team while they run it.
Assure
Independent testing, reporting to committee and continuous improvement.
Integration
- Existing GRC, ticketing and ITSM platforms for issue and action flow.
- SIEM, EDR and cloud posture tooling for control evidence.
- HR and identity systems for role, joiner-mover-leaver and access review data.
- Board and committee reporting cycles, so output lands in existing governance.
Engagement approach
Engagements start with a fixed-scope assessment so the client sees findings before committing to a build. Implementation runs in quarterly increments against an agreed roadmap, and any managed element carries a named lead, defined SLA and quarterly service review.
Related
Other capabilities in Enterprise Services.
ES-01
Cybersecurity Assessment & Assurance
Establish what the control environment actually does, not what the policy says it does.
ES-02Security Architecture & Transformation
Design the target state, then sequence the journey so each step is fundable and reversible.
ES-03Incident Readiness & Response
Decide how you will respond before the day you have to.
ES-04Privacy / PDP Programme
Turn personal data protection law into operating routine rather than an annual scramble.
ES-05DPO as a Service
A named, qualified data protection officer function without the cost of building one internally.
ES-06Privacy by Design
Put privacy requirements into the build, where they cost least to satisfy.
ES-07AI Governance
Give AI adoption an accountable structure before scale makes it ungovernable.
ES-09GRC Transformation
Replace duplicated spreadsheets with one control library and one evidence trail.
ES-10AI KYB / Risk Intelligence
Know who you are actually contracting with, and what changed since onboarding.
ES-11Tabletop & Executive Training
Rehearse the decisions, not just the technical steps.
ES-12Digital Trust Architecture
Make identity, cryptography, privacy and AI controls fit together as one system.