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PENETRATION TESTING

LLM Penetaration Testing

Modern AI and LLM features introduce new attack surfaces — from prompt injection and jailbreaking to data exfiltration and model poisoning. Praetorian’s AI penetration testing and LLM red-team assessments simulate real adversaries across the entire AI stack to uncover exploitable weaknesses, quantify business impact, and deliver prioritized remediation so you can deploy AI with confidence.

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AI and ML penetration testing for large language models and secure AI ecosystems.
echnical diagram showing an AI attack path from reconnaissance to model poisoning.

Helping you build secure AI ecosystems by breaking them

Modern AI and LLM features introduce new attack surfaces — from prompt injection and jailbreaking to data exfiltration and model poisoning. Praetorian’s AI penetration testing and LLM red-team assessments simulate real adversaries across the entire AI stack to uncover exploitable weaknesses, quantify business impact, and deliver prioritized remediation so you can deploy AI with confidence.

  • Identify key risks linked to an organizations AI and ML use.
  • Create both technical and process-based controls to solve these problems
  • Test the effectiveness of security controls using our industry-leading offensive security team
  • Establish a feedback loop between red team/ blue team operations for rapid iteration on security controls

Our Approach to AI Penetration Test

  • Discovery & threat modeling — map every AI input/output, data source, and integration
  • Attack surface mapping — identify UIs, APIs, RAG sources, agents, plugins, vector DBs.
  • Adversarial prompt campaigns — manual + automated adversarial prompts and jailbreak sequences.
  • Data & pipeline testing — RAG integrity, egress filtering, context origin attacks, training data poisoning simulations.
  • Application & infra testing — OWASP-style checks in the AI context (SSRF, XSS, insecure output handling), plus privilege escalation.
  • Impact analysis & remediation — business-risk scoring, playbookable fixes, and follow-up verification.

What we test for

  • Prompt injection & jailbreak resistance
  • Data leakage and RAG / retrieval pipeline evaluation
  • Training/fine-tune poisoning & model backdoor checks
  • Model extraction, inversion, and membership inference testing
  • App & API abuse (chat UIs, function-calling, tool/plugin misuse)
  • Lateral escalation and supply-chain attack scenarios

Risk Management Approach to AI Threats

Praetorian’s Governance, Risk, and Compliance experts use the NIST AI Risk Management Framework and NIST Cybersecurity Framework to analyze the organization’s current state and identify gaps that pose critical threats

Develop AI-Specific Threat Models and Customized Security Controls

Our team assists in creating security controls and enhancing models to address critical vulnerabilities

Targeted Red Team Testing

Our team of experts use the MITRE ATLAS framework to assess the efficacy of security controls and recommended improvements

Build the Most Robust AI Security Playbook

Adversarial Emulation via MITRE ATLAS​

While traditional penetration testing focuses on the network and application layers, our AI red team engagements utilize the MITRE ATLAS™ (Adversarial Threat Landscape for Artificial-Intelligence Systems) framework to simulate attacks unique to machine learning. We go beyond standard vulnerabilities to test your defenses against specialized TTPs such as Data Poisoning (AML.T0020) and Model Inversion (AML.T0005), providing a realistic assessment of how sophisticated actors target your AI assets.

OWASP Top 10 for LLMs

As organizations move from AI experimentation to production, securing the LLM supply chain becomes paramount. We evaluate your entire pipeline—from Training Data Poisoning (LLM03) to Insecure Plugin Design (LLM07)—to ensure your AI ecosystem remains resilient against both accidental data leaks and intentional adversarial attacks. By combining OWASP’s vulnerability-centric approach with the adversarial tactics of MITRE ATLAS™, Praetorian delivers the most holistic AI security validation in the industry.
AI and ML penetration testing for large language models and secure AI ecosystems.

Why Choose Praetorian

Praetorian has assembled a cross-functional team of expert enterprise architects, ML research scientists, DevOps engineers, and red team operators. Following the Google Secure AI Framework, we have based our approach on the principle that a team with diverse skillsets can better identify issues, improve defenses, and emulate real- world scenarios.

Identify Supply Chain Risk from
Third Party AI Products

Enhanced Security Posture

Strengthen your defenses against the latest advancements in AI, ensuring your organization remains resilient in the face of relentless attacks

Address Material Risks

Identify vulnerabilities and weaknesses within your AI systems, while tailoring solutions to address and mitigate the risks

Build Trust Through Compliance

Demonstrate compliance with industry standards such as NIST AI RMF and build trust among clients and partners

Ready to Discuss Your
AI/ML Penetrating Testing Initiative?

Praetorian’s Offense Security Experts are Ready to Answer Your Questions

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