Secure your AI-powered applications against adversarial threats, prompt injection, and agentic misbehavior with comprehensive adversarial testing aligned with OWASP AI standards. Our methodologies extend beyond common prompt engineering, employing sophisticated obfuscation, multi-turn attack chains, and exploitation of hidden model functionalities.
AI systems, especially those powered by large language models (LLMs) and agentic frameworks, introduce novel attack surfaces. From prompt injection and jailbreaks to training data poisoning and unintended behaviors in autonomous agents, threats in this space require specialized testing techniques. This includes assessing vectors for Denial-of-Service that can cripple AI infrastructure through resource exhaustion or complex, state-manipulating inputs.
OWASP has recognized this new class of risks through the OWASP Top 10 for LLM Applications and OWASP Top 10 for Agent Systems. Our testing methodology is aligned with these frameworks and tailored to your system’s architecture, threat model, and deployment scenario.
We assess AI/LLM applications, agentic workflows, and hybrid systems for risks including:
Our AI testing engagements typically include:
Our AI testing engagements typically include:
We have tested systems involving:
Organizations using agents for internal automation and needing abuse resilience
Simply contact us, let us know what you need to test. We will revert with some questions to understand the scope, schedule the test and tailor the test to meet your needs, for free. If you want to proceed, we will send you an offer for signing and coordinate the steps together from there.