SERVICES
AI and LLM Penetration Testing
Secure your artificial intelligence (AI) and large language model (LLM) systems by identifying exploitable vulnerabilities in models, prompts, data pipelines, and integrations before attackers can leverage them.
AI & LLM Security Assurance
OnDefend AI and LLM penetration testing evaluates model behavior, data exposure, and application integrations to identify real-world security weaknesses, including prompt injection, model manipulation, data inference, and unsafe integrations that help secure AI deployments, strengthen governance, and support regulatory readiness before issues lead to business harm.
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AI and LLM Environments Tested for Real-World Risk
LLM-Enabled Applications
Prompts, system instructions, embeddings, and API-level logic are tested for injection, manipulation, privilege bypass, and unsafe behavior.
LLM-Enabled Agents
LLMs direct agent actions, including prompt handling, decision logic, execution safeguards, and controls, are tested to prevent manipulation or unintended outcomes.
Custom and Fine-Tuned Models
Custom and fine-tuned models are assessed for performance drift, unsafe outputs, leakage, harmful reasoning, and manipulation vulnerabilities.
Model Integration Layers
Orchestrators, agents, plugins, vector databases, and third-party APIs are evaluated for insecure data flows and exploitable logic paths.
AI-powered adversaries don’t exploit vulnerabilities.
They exploit attack paths.
AI-powered adversaries exploit more than vulnerabilities and misconfigurations. They chain together hidden risks like exploitable designs, security control failures, and novel attack techniques to reach critical assets. The goal is no longer finding every weakness, but breaking attack paths with the fewest high-impact fixes.
Reconnaissance
Attack Surface Mapped
Exploit
Initial Access
Misconfiguration Exploited
PIVOT
Privilege Escalation
Exploitable Design Abused
Chain
Exploitation
Low-Severity Finding Chained
exploit
Lateral Movement
Novel Technique Executed
bypass
Defense Evasion
Security Controls Defeated
Lateral
Impact
Critical Asset Compromised
Traditional pen tests and vulnerability scanners find these
What AI-powered adversaries find and chain into attack paths
Giving You The Competitive Advantage
Let OnDefend give you a decisive advantage over adversaries by combining elite offensive operators, deep cloud expertise, and intelligence-driven security validation.
Elite Offensive Operators
Testing is led by experienced offensive operators with hands-on expertise in AI and LLM systems, validating how real attackers exploit AI-driven applications rather than relying on theoretical risk models.
Intelligence-Driven AI Risk Focus
Testing is informed by commercial and proprietary intelligence on emerging AI threats and attacker tradecraft, focusing assessment on abuse patterns and failure modes that lead to real-world compromise.
End-to-End AI Exposure Visibility
Assessments evaluate AI systems holistically across models, data, prompts, APIs, and integrations, providing complete visibility into how weaknesses interact across the AI stack.
Real-World Model Abuse Validation
Testing validates prompt manipulation, jailbreaks, function misuse, and output abuse, demonstrating how models can be coerced into unsafe, misleading, or policy-violating behavior.
Sensitive Data Protection Assurance
Assessments evaluate whether sensitive data can be inferred or extracted through AI interactions, revealing data leakage paths that traditional application or cloud testing cannot identify.
Business-Ready Risk Clarity
Findings are delivered through clear reporting and narrative attack paths, translating complex AI risk into actionable insight for security, engineering, and executive decision-makers.
Our Team
Partners with Yours
Our team partners with yours to gain a deep understanding of your environment and objectives so you receive clear communication, expert guidance, and actionable insight that ensures outcomes align with your security and business goals.
Resources
Explore our comprehensive resource collection to enhance your organization’s security posture and stay ahead of potential threats.
TikTok Partnership
HaystackID and OnDefend are furthering security of the TikTok U.S. platform & app.
Read ArticleAI/LLM Testing FAQs
What is AI or LLM penetration testing?
AI/LLM pen testing is a security assessment that identifies exploitable weaknesses in AI models, prompts, data pipelines, APIs, and integrations.
Why do LLMs require specialized testing?
LLMs require specialized testing because they introduce unique risks such as prompt injection, data leakage, model manipulation, and unsafe emergent behavior that traditional scanners cannot detect.
What systems can be tested?
OnDefend tests custom models, fine-tuned models, LLM applications, vector stores, plugins, and AI-integrated workflows.
How is AI/LLM testing different from traditional penetration testing?
Traditional penetration testing evaluates code and infrastructure. AI/LLM testing validates model behavior, data risks, prompt logic, and adversarial manipulation paths.
How often should AI/LLM testing be performed?
Most organizations test before deployment and after major updates or model retraining.
Secure Your AI Systems.
Understand your real exposure with guidance from security experts.
