AI and LLM penetration testing.
We test enterprise AI assistants, Retrieval-Augmented Generation (RAG) pipelines, vector databases, and tool-calling agents against prompt injection, unauthorized data retrieval, and unsafe tool execution.
What is in scope
Key technical areas and vulnerability classes evaluated during the assessment.
Direct and indirect prompt injection
Testing whether adversarial inputs in user chat or untrusted external documents (PDFs, emails, web pages) can override system instructions.
RAG and vector database access controls
Testing whether similarity search retrieves confidential embeddings or document chunks across tenant or role boundaries.
Excessive agency and tool abuse
Evaluating function-calling, API plugins, and MCP tools to determine if an LLM agent can be manipulated into executing unauthorized actions.
System prompt and sensitive data leakage
Testing for extraction of proprietary system prompts, internal routing instructions, API credentials, or sensitive training/context data.
Insecure output handling
Testing whether model-generated responses can trigger Cross-Site Scripting (XSS), SSRF, or code injection in downstream applications.
Unbounded consumption and model denial of service
Evaluating token quotas, context-window exhaustion, and recursive agent loop protections.
Testing methodology
Our step-by-step engineering workflow from reconnaissance to verified proof of concept.
1. AI architecture and trust boundary review
We map model providers, system prompts, RAG ingestion pipelines, vector stores, and connected tools or APIs.
2. Adversarial prompt and RAG testing
We execute targeted prompt injection and cross-tenant retrieval tests against your AI endpoints and document ingestion workflows.
3. Agent tool and output boundary testing
We verify whether model outputs are sanitized and whether state-changing tool calls enforce strict authorization and human confirmation.
4. Guardrail and architecture verification
We retest your hardened prompt delimiters, vector metadata filters, and tool permission scopes.
Deliverables and retesting
What your engineering and compliance teams receive at the conclusion of testing.
OWASP LLM Top 10 technical report
Detailed reproduction transcripts, adversarial payloads, and risk ratings aligned with OWASP Top 10 for LLM Applications.
Architectural hardening guide
Practical engineering recommendations for RAG pre-filtering, prompt isolation, and least-privilege agent tool design.
Post-remediation verification
Confirmation that guardrails and access controls prevent the identified attack paths.
Scope your assessment
Contact our security team with your target details to receive a clear scoping plan.