AI Development
AI Security Review
We review the security of LLM/RAG/agent systems: prompt injection, data leakage, tool permissions, logging, and deployment posture. You receive a prioritized report and a clear mitigation plan your team can ship. Delivery aligned to United Kingdom teams (GBP).
Overview
What this service is
An AI security review focuses on risks unique to LLM apps: prompt injection, unsafe tool use, retrieval leakage, and untrusted output paths.
We threat-model your system end-to-end and test real failure modes against your data sources, tools, and policies.
Delivery includes an actionable report, recommended guardrails, and implementation guidance (or we can implement fixes with you).
Start Small
Start small in 7 days
Three pilot-friendly options that reduce risk and ship value fast. Choose one, share access, and we deliver a production-ready baseline.
Standard
AI delivery standard
Quality and safety practices we ship with AI builds so the system stays measurable, maintainable, and production-ready.
Logging + tracing
Conversation and tool traces with request IDs, error visibility, and debug-friendly runbooks.
Guardrails + safety
Tool allowlists, PII-safe patterns, refusal behavior, and escalation routes for edge cases.
Evals + regression tests
Golden queries, scorecards, and regression checks so quality improves over time instead of drifting.
Cost + latency controls
Caching, prompt discipline, retrieval tuning, and routing so your app stays fast and predictable at scale.
Documentation + handoff
Architecture notes, environment setup, and next-step roadmap so your team can iterate safely after launch.
Security-first integration
Secrets isolation, role-based access, audit-friendly actions, and minimal data retention by design.
Benefits
What you get
Identify prompt injection and data leakage risks
Reduce unsafe tool action surfaces
Improve audit readiness with logs and controls
Clarify privacy and retention posture
Prioritize fixes with clear severity ranking
Ship mitigations with minimal product disruption
Features
What we deliver
Threat model + attack surface mapping
We map data sources, tools, prompts, and user entry points to identify the highest-risk areas.
Prompt injection testing
Adversarial inputs to validate context separation, tool controls, and policy enforcement under real attacks.
RAG leakage checks
Test retrieval filtering, tenant isolation, and permission enforcement to prevent cross-user data exposure.
Tool permission review
Review allowlists, parameter validation, approvals, and RBAC to ensure actions are safe and minimal.
Logging and retention review
Validate what’s logged and stored, ensure PII handling is sane, and recommend safe retention policies.
Actionable remediation plan
Prioritized fixes with practical implementation steps and acceptance criteria.
Process
How we work
Intake
Access, architecture overview, and risk goals.
Threat model
Map data, tools, and trust boundaries.
Testing
Prompt injection, leakage checks, and tool review.
Report
Findings with severity and recommended fixes.
Remediation
Optional implementation support for fixes.
Tech Stack
Technologies we use
Core
Tools
Services
Use Cases
Who this is for
Security review before enterprise rollout
Validate your AI system’s security posture before enabling broader access and higher-risk tools.
Agent tool access hardening
Reduce the risk of agents taking unsafe actions via strict allowlists and approval patterns.
Permissioned RAG hardening
Confirm retrieval filters and tenant isolation prevent private document leakage.
Incident response improvement
Add logging and monitoring so failures are visible and actionable during incidents.
Compliance-aligned logging and retention
Validate retention and logging behavior to reduce privacy exposure without losing debugging power.
AI Case Examples
Micro case studies (anonymous)
A few safe examples of outcomes we build for real operations—no client names, just results.
Secure Mobile Solution in Australian Defence Ecosystem
Problem: Secure data workflows were required in a regulated environment with strict access controls.
Solution: Hardened architecture with strict auth, encrypted storage, and audit-friendly engineering patterns.
Outcome: Deployed securely within a regulated ecosystem with clear handoff and operational guidance.
AI Knowledge Base Across 2,000+ Pages
Problem: Teams needed fast answers across long PDFs, but search was slow and results were inconsistent.
Solution: RAG with hybrid retrieval and reranking, plus grounded answers and safer fallback behavior.
Outcome: Reliable answers with <10s response times and measurable improvements on real queries.
Ops Automation with AI + n8n
Problem: Manual approvals and CRM syncing created delays and data inconsistencies across tools.
Solution: Event-driven automation with validation gates and AI-assisted classification where it improved routing.
Outcome: Reduced manual workload significantly with more reliable workflows and operator visibility.
Explore
Related solutions & technologies
Useful next pages if you’re planning an AI pilot or scaling this into a larger product.
Related solutions
FAQ
Frequently asked questions
No. This is an engineering-focused security review for AI systems. For formal audits and certifications, you’ll typically engage a dedicated third-party auditor.
Yes. We test prompt injection and adversarial inputs and validate that policies and tool controls hold under attack-like behavior.
Yes. We review retrieval filtering, tenant isolation, and access enforcement to reduce leakage risks.
Yes. We can provide an implementation plan or directly help ship mitigations with your team.
Architecture docs and code access (or a walkthrough), plus information about your data sources, tools, and deployment environment.
Yes. You get a prioritized findings report with recommended mitigations and acceptance criteria.
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Regional
Delivery considerations for your region
Compliance & Data (UK/EU)
For UK teams, we default to GDPR-first thinking: data minimisation, purpose-limited storage, and clear access boundaries.
We can work under a DPA (template available on request) and implement practical retention/deletion flows when needed.
- GDPR-first patterns (minimise, restrict, document)
- DPA template available on request
- Retention/deletion and export flows where required
- Least-privilege access and secure session handling
- PII-safe logging + secure-by-default configuration
- NDA available for early-stage discussions
Timezone & Collaboration (UK/EU)
We align to UK time and EU overlap (GMT/BST with CET-friendly windows) for fast feedback cycles.
We keep the process lightweight: async updates, clear priorities, and written decisions to avoid ambiguity.
- UK/EU overlap with GMT/BST windows
- Async-first delivery with documented scope
- Weekly milestones and structured demos
- Clear escalation path for blockers
- Tight change control with clear sign-offs
Engagement & Procurement (UK)
We support typical UK procurement flows with clear scopes, change control, and invoice cadence.
If you prefer a discovery-first engagement, we can run a short paid discovery to lock requirements before build.
- GBP-based engagements and invoicing options
- Discovery-first option to reduce delivery risk
- Milestone-based billing when appropriate
- Transparent change control and sign-offs
- Vendor onboarding pack on request
Security & Quality (UK/EU)
We build for reliability and maintainability: clean PRs, tight review loops, and test coverage that matches risk.
Performance budgets and release checklists keep launches predictable—especially when multiple stakeholders review changes.
- CI-friendly testing: unit + integration + smoke tests
- Performance budgets + bundle checks (Core Web Vitals-minded)
- Structured release notes and rollback-safe deployments
- Security checklist for auth, roles, and data flows
- Observability hooks (logs + error tracking) ready for production
Want help with AI security review?
Get a clear plan for United Kingdom teams—scope, timeline, and next steps. GBP-based engagements.
Reply within 2 hours. No-pressure consultation.