Recon & scoping
We map the AI system - models, system prompts, tools, data sources and trust boundaries - to see where attacker-influenced text enters and what the model can reach.
//: 01 BRIEFING
Why it matters
Generative AI has quietly become your newest, least-tested attack surface. A chatbot, a RAG assistant or an autonomous agent takes untrusted text and, increasingly, takes actions on it - sending emails, querying databases, calling tools, moving data. Vantixia tests these systems the way a real adversary would: probing for prompt injection, jailbreaks, tool abuse and data leakage, not just checking that the demo works.
Our assessment is threat-led and evidence-driven, aligned to the OWASP Top 10 for LLM Applications and MITRE ATLAS. You get reproducible proof of every finding, a clear read on real-world impact, and remediation your engineers can act on - plus a free retest once you have hardened the system.
SYS://ENGAGEMENT/SNAPSHOT
- Aligned to the OWASP LLM Top 10 and MITRE ATLAS
- Coverage for chatbots, RAG apps and autonomous agents
- Direct & indirect prompt injection, incl. tool and RAG chains
- Excessive-agency, jailbreak and data-leakage testing
- Zero false positives, reproducible PoCs, free retest
//: 02 TESTING APPROACH
How we run this assessment
Threat modeling
Using the OWASP LLM Top 10 and ATLAS, we build a threat model specific to your architecture, prioritising the failure modes that would actually hurt you.
Injection & jailbreak testing
Direct and indirect prompt injection, guardrail bypass and multi-turn jailbreaks - manual craft backed by automated adversarial suites.
Agent & tool abuse
For agentic systems, we test tool misuse, chained actions, confused-deputy escalation and whether least privilege actually holds.
Data & resource attacks
System-prompt and secret extraction, training-data disclosure, RAG poisoning, and denial-of-wallet resource-exhaustion testing.
Report & retest
Reproducible findings with impact and fixes, an executive summary, and a free retest after you remediate.
//: 03 ATTACK SURFACE
What we test for
Prompt injection
Direct and indirect injection - including payloads hidden in documents, web pages and tool output that your RAG pipeline ingests.
Agent & tool abuse
Excessive agency, confused-deputy attacks and privilege escalation through the tools, functions and APIs your agent can call.
Guardrail bypass
Roleplay, obfuscation, encoding and multi-turn jailbreaks that talk your model past its safety and policy controls.
Sensitive data leakage
System-prompt extraction, training-data and secret disclosure, and reconstruction of private context from model responses.
Denial-of-wallet & DoS
Token-flooding, recursive agent loops and expensive tool calls that exhaust resources and run your inference bill sky-high.
RAG & supply chain
Poisoned knowledge bases, vector-store exposure and risks in the pre-trained models and datasets your stack depends on.
//: 04 WHAT TO EXPECT
Every engagement ships with
Team of master experts
Operators certified in CEH, CPENT | LPT, eWPTX, eCPPT, eMAPT and CRTP, applying current industry best practice to every test.
In-depth analytics & report
Clear explanations, impact assessment and prioritised recommendations - not just a list of CVEs.
Security certificate
A certificate on completion that shows stakeholders your proactive commitment to security.
Free retest
After you remediate, we retest at no cost to confirm every finding is properly closed.
//: OPEN UPLINK
Shipping an AI feature?
Have it tested by people who break language models for a living. Tell us what you have built and we'll scope a Gen-AI assessment for it.