AI Security Testing
AI Implementation Pentest
Security testing for AI-enabled systems — LLM integrations, RAG, copilots, agents, and model-serving.
We test the AI-enabled system you’ve built — the application, data flows, tools, integrations, and trust boundaries around the model — across application, data, model, and infrastructure layers, informed by current AI testing and threat frameworks. This is especially valuable when AI features are customer-facing, connected to internal systems, or empowered to take actions on behalf of users.
Who this is for
- Customer-facing AI features and chat experiences
- Internal copilots and assistants
- RAG over proprietary or sensitive data
- Agentic workflows with tools, actions, and approval gates
- AI systems connected to business data, APIs, or cloud infrastructure
What we test
AI-specific risks
Prompt injection and indirect prompt injection, sensitive information disclosure, supply-chain weakness, data and model-poisoning exposure, improper output handling, excessive agency, system-prompt leakage, vector and embedding weaknesses, and unbounded consumption.
Controls & guardrails
Tool and plugin permissions, retrieval controls, tenant and data segregation, secret handling, logging and monitoring, approval gates for high-risk actions, and fallback or kill-switch mechanisms.
Abuse resistance
Robustness, privacy, resilience, operational safety, and transparency concerns that can materially affect business risk, where relevant to the implementation.
What this is not. We test the AI-enabled system you’ve built — not the foundation model’s internal weights or training pipeline. This is not a guarantee that the AI system is “safe,” not a certification, and not a replacement for secure design, monitoring, or governance.
Human-led, AI-assisted. AI and automation widen coverage and accelerate reconnaissance, but a senior consultant designs the test, validates every finding, and owns the report. See our methodology →
Standards & frameworks
Aligned to the OWASP AI Testing Guide and current OWASP GenAI Security Project guidance and checklists (including the OWASP Top 10 for LLM Applications), with MITRE ATLAS referenced for adversary-technique mapping where appropriate.
What you receive
- An executive summary your leadership can act on
- Findings with reproducible evidence and clear abuse-case narratives
- Guardrail and workflow recommendations
- Prioritized, engineering-ready remediation guidance
- Remediation support or a retest, when included in scope
Want to see what that looks like? Browse our sample penetration test reports — sanitized examples of what you’ll receive.
Ready to scope an engagement?
Tell us what you need to validate and we’ll recommend the right engagement.