Adversarial testing of LLM applications, RAG pipelines, and autonomous AI agents — covering prompt injection, jailbreaking, model extraction, and the full OWASP LLM Top 10 attack surface.
As AI and LLM-powered systems are rapidly deployed across industries, they introduce entirely new attack surfaces that traditional security testing cannot address. Our AI Security Assessment evaluates the security of your AI/ML systems, LLM applications, RAG pipelines, and AI agents against emerging attack vectors specific to intelligent systems — vectors that sit entirely outside the scope of conventional pen testing.
We test for prompt injection, jailbreaking, model extraction, adversarial inputs, training data poisoning, and insecure plugin and tool use. Our assessors combine expertise in machine learning with offensive security skills to probe both the AI models themselves and their surrounding infrastructure, integration points, and data pipelines.
Whether you're deploying a customer-facing LLM chatbot, an internal AI coding assistant, or a complex multi-agent autonomous system, our assessment provides assurance that your AI behaves safely and securely under adversarial conditions — and delivers actionable guidance to fix what doesn't.
Structured adversarial testing aligned to OWASP LLM Top 10 and MITRE ATLAS — covering the full AI attack surface from prompt to infrastructure.
The complete AI attack surface — from LLM-specific prompt attacks and model security to agentic systems and the infrastructure powering your AI deployment.
AI risk narrative for leadership: what the AI system can be manipulated to do, business impact scenarios, and strategic recommendations for safe AI deployment.
Detailed vulnerability report with working prompt injection payloads, jailbreak evidence, OWASP LLM Top 10 mapping, MITRE ATLAS technique IDs, and reproduction steps.
Developer-ready fix guidance: system prompt hardening, input validation, output filtering, guardrail improvements, and secure agentic architecture patterns.
Complimentary retest of all identified findings after remediation, with updated OWASP LLM Top 10 compliance attestation and residual risk summary.
Before a prompt injection attack manipulates your AI into a security incident, let our specialists test its resilience under real adversarial conditions.