Prompt injection testing
Direct and indirect injection through user input, documents, web content and tool outputs.
AI Security
AI & LLM Security Testing
We attack your AI systems the way real adversaries would, using prompt injection, data exfiltration, jailbreaks and tool abuse, and show you how to fix what we find.
The challenge
LLM applications introduce a new class of vulnerabilities. Models follow instructions hidden in documents, emails and web pages; agents can be manipulated into calling tools with real-world consequences; and traditional penetration tests cover none of it.
Typical risks we uncover
- 01Direct and indirect prompt injection
- 02Sensitive data leaking through responses or retrieval
- 03Agents executing unintended actions through connected tools
AI Security
What we do
Adversarial testing of LLM applications, RAG pipelines and AI agents, before attackers do it for you.
01
02
RAG & data leakage
Test whether retrieval exposes data across tenants, roles or classification levels.
03
Agent & tool abuse
Assess what an attacker can make your agents do through plugins, APIs, MCP servers and function calls.
04
Jailbreak & guardrail evaluation
Measure how robust your guardrails and content filters are against current techniques.
05
Model & API security
Review authentication, rate limiting, model access and abuse scenarios around your AI endpoints.
06
Infrastructure review
Assess the cloud, data and identity layers your AI stack depends on.
AI & LLM Security Testing
How the engagement runs
011/4
Threat modelling
Map the AI system, its data flows, tools and trust boundaries, and define test objectives.
022/4
Adversarial testing
Run manual and automated attack campaigns aligned with OWASP and MITRE ATLAS.
033/4
Impact analysis
Demonstrate business impact with reproducible proofs of concept.
044/4
Remediation & retest
Recommend layered mitigations and verify the fixes in a retest.
01
What you receive
- AI threat model and data-flow diagram
- Findings mapped to the OWASP Top 10 for LLM Applications
- Reproducible attack transcripts and proofs of concept
- Layered mitigation plan (prompt, retrieval, tools, infrastructure)
- Retest report
- Briefing for product and leadership teams
02
Frameworks & standards
FAQ
Frequently asked questions
Talk to a consultant about your environment. The first call is free and under NDA if you need it.
Talk to an expert01Do you test third-party models such as GPT, Claude or Gemini?
We test your application built on top of them: your prompts, retrieval, tools, permissions and integrations, which is where most exploitable weaknesses live. We follow each provider's usage and testing policies.
02Can prompt injection be fully prevented?
Not with today's models. That is why we focus on defence in depth: limiting what an injected instruction can actually achieve through permissions, isolation and human approval.
03Do you test in production?
Preferably in a staging environment that mirrors production. When production testing is needed, we agree strict rules of engagement first.
Related services
AI Security
Secure AI Engineering
Design and build AI applications, RAG pipelines and agents that are secure by design.
Learn more AI SecurityAI Governance, Risk & Compliance
Build an AI governance programme aligned with ISO/IEC 42001, the NIST AI RMF and the EU AI Act.
Learn more Cloud SecurityIdentity & Zero Trust
Make identity your strongest control across cloud, SaaS and workforce access.
Learn moreNext step
Let's map your cloud and AI risk in a single conversation.
Book a free 30-minute scoping call with a senior consultant. No sales script: we listen, ask the right questions and tell you honestly where we can help.