Hackers are already
testing your AI.
Are you?
Traditional pentests don’t speak fluent prompt injection. Ours do.
A conventional web or network test won’t catch the failures that matter most in an AI app. Prompt injection, embedding inversion and excessive agency are semantic and behavioural attacks — not the configuration bugs a classic pentest hunts for. They need a purpose-built methodology, an isolated testbed, and testers who understand how models and agents actually work.
We test the AI layer
Prompt injection, jailbreaks, data egress, system-prompt leakage, RAG poisoning,
excessive agency — the
semantic attack surface.
And the classic layer
The API, web front-end and cloud stack behind your AI remain exposed to the OWASP Web Top 10. We
cover both, so nothing slips between the cracks.
Your data never leaves
The offensive phase runs against an isolated testbed. We don’t send your data to third-party model providers to test it.
Every engagement maps to the OWASP LLM Top 10 (2025)
A recognised framework your auditors accept and your board understands — cross-referenced to MITRE ATLAS and scored for prioritisation.
LLM04
Data & Model Poisoning
LLM06
Excessive Agency
LLM10
Unbounded Consumption
LLM08
Vector & Embedding Weaknesses
LLM02
Sensitive Information Disclosure
LLM09
Misinformation
LLM07
System Prompt Leakage
LLM05
Improper Output Handling
Supply Chain
LLM03
Prompt Injection
LLM01
The standard we test to
Built for how your AI is really deployed
LLM & GenAI applications
Customer chatbots, internal copilots and product-
embedded assistants — prompt injection, output
handling and data egress under real attack.
RAG & Vector stores
Retrieval poisoning, embedding inversion and cross-
tenant leakage in the pipeline that feeds your model.
AI red teaming
Jailbreaks, guardrail bypass and multi-turn manipulation — adversarial testing of safety and misuse, not just
single prompts.
Model & Supply chain
Adversarial ML (evasion, extraction, inversion) plus
model, plugin and MCP-server provenance and poisoning.
What We Actually Test
Our Methodology
A documented process — not a one-off prompt-poking session
1. Scope & rules of engagement: Define scope, inventory AI, and prepare testing.
2. AI threat modeling: Identify threats and map the AI attack surface.
3. Automated probing: Run automated tests across AI attack vectors.
4. Manual exploitation & chaining: Simulate advanced attacks and validate exploits.
5. Score & map to your controls: Score risks and align with compliance controls.
6. Report, remediate & free retest: Deliver findings, recommend fixes, and retest.
What lands on your desk
A pentest your
auditor accepts — and your board understands
Two reports in one: a plain-English executive summary that maps findings to business and compliance risk, and a technical report with a reproducible proof-of-concept and architecture-specific fix for every issue.
EVERY ENGAGEMENT INCLUDES
1. OWASP LLM Top 10 + MITRE ATLAS coverage
2. Reproducible PoC for every finding
3. Executive + technical reports
4. Mapping to ISO 42001 / EU AI Act controls
5. Free unlimited retesting of fixes
Find out what your AI does under attack —
on your terms, not an attacker’s.
Book a 45-minute scoping call. We’ll define the attack surface, agree the rules of engagement and give you a straight quote.
Contact Us
✉ Info@ai-eurocompliance.com
🏢 Headquarters: Germany
