Review how AI fits into your architecture - before risk does.
An AI Architecture Review maps every place AI touches your business, evaluates each touchpoint against OWASP LLM Top 10 and EU AI Act criteria, and produces an executive-ready risk report with prioritised remediation actions.
What We Review.
Six areas covered in every AI Architecture Review.
AI Integration Points
All locations where AI/ML models touch your business data, user inputs, or automated decision flows.
Data Pipeline Security
How training and inference data is handled, stored, accessed, and protected against poisoning or exfiltration.
Model Access Controls
Who can query, retrain, or export your models. Privilege mapping and access review.
Governance & Usage Policies
Whether AI usage policies exist, are enforced, and align with EU AI Act classification requirements.
Third-Party AI Vendor Risk
Security posture of AI tools and APIs your organisation uses from external providers (OpenAI, Anthropic, Microsoft, Google).
Output Safety & Bias Controls
Whether model outputs are validated, filtered, and monitored for safety, accuracy, and bias before acting on them.
Technical Security Without Human Awareness Is Half a Programme.
AI systems are secured at the technical layer by architecture reviews, red team testing, and governance frameworks. But the human layer is equally exposed - and often overlooked:
- Employees sharing sensitive data with public AI tools that have not been reviewed by security
- Staff who cannot recognise AI-crafted phishing lures indistinguishable from legitimate communication
- No enforced policy governing which AI tools are approved for business use
- Developers unaware of prompt injection risks in the applications they are building
The IPV Security AI Awareness Program is designed specifically to address the human side of AI security risk - complementing the technical services on this page.
AI Awareness Program - what's included
- AI threat landscape briefing (all-staff and role-specific tracks)
- Responsible AI Use Policy drafted for your organisation
- Shadow AI discovery workshop - what tools are actually in use
- Deepfake and voice fraud recognition module
- Prompt injection awareness for developers and power users
- AI-crafted phishing simulation campaigns
- Quarterly AI threat landscape update
How an AI Architecture Review Works.
A four-step engagement designed to deliver executive-ready findings without disrupting your teams.
Discovery
We map all AI touchpoints across your architecture (remote, 2-3 days).
Assessment
We evaluate each touchpoint against the OWASP LLM Top 10 and EU AI Act classification criteria.
Risk Report
Executive-ready findings with prioritised remediation actions.
Remediation Support
Optional follow-on to help implement the priority fixes.
Pricing is indicative and depends on organization size and engagement scope. Final pricing is confirmed after a complimentary scoping call.