AI & LLM Penetration Testing Providers
AI and LLM penetration testing is a specialised security assessment designed for applications that integrate large language models and generative AI. As organisations rapidly adopt AI-powered chatbots, document processing pipelines, and RAG-based systems, new attack surfaces have emerged that traditional penetration testing does not cover.
Testers simulate real-world attackers targeting LLM-enabled systems, assessing vulnerabilities such as prompt injection (direct and indirect), jailbreak resistance, sensitive data disclosure, economic denial of service (eDOS) through unbounded resource consumption, and output weaponisation. Testing accounts for the non-deterministic nature of LLMs and combines manual techniques with targeted automation for expanded coverage.
Common testing scenarios include customer-facing chatbot security validation, RAG connections to enterprise data stores, cost control and rate-limiting verification, document-ingestion workflow hardening, and front-end rendering vulnerabilities caused by unsanitised LLM output. AI pen testing follows the OWASP Top 10 for LLM Applications and helps organisations build confidence in their AI deployments before production release. It is increasingly required by organisations adopting AI across regulated industries including financial services, healthcare, and government.
SECFORCE
Leading UK offensive security consultancy based in Canary Wharf, delivering CREST-accredited penetration testing and adversary simulation to organisations with the most demanding security requirements.
AI & LLM Penetration Testing FAQs
What is AI and LLM penetration testing?+
AI and LLM penetration testing is a structured security engagement that simulates real-world attacks against applications powered by large language models. Testers probe for prompt injection, data leakage, jailbreak vulnerabilities, economic denial of service, and output manipulation to identify risks before attackers do.
Why can't traditional pen testing cover AI applications?+
Traditional penetration testing focuses on deterministic systems with predictable inputs and outputs. LLMs are non-deterministic — the same input can produce different outputs — and introduce novel attack vectors like prompt injection and jailbreaking that require specialised testing techniques and expertise.
What is prompt injection and why is it dangerous?+
Prompt injection is an attack where malicious input manipulates an LLM into ignoring its instructions, disclosing sensitive data, or performing unintended actions. It can be direct (user-supplied) or indirect (embedded in documents or data the LLM processes). It is considered the most critical risk in the OWASP Top 10 for LLM Applications.
How often should AI applications be pen tested?+
AI applications should be tested before initial deployment and after significant changes to the model, prompts, retrieval pipeline, or connected data sources. Given the fast pace of AI development, quarterly or per-release testing is recommended for production systems.