Prompt Injection Protection

Prompt Injection Protection — Block the #1 LLM Attack Vector

Runtime detection and prevention of direct and indirect prompt injection attacks — OWASP LLM01, the top-ranked risk for LLM applications, responsible for data exfiltration, safety bypass, and AI agent hijacking.

• Direct prompt injection detection — instruction-format patterns blocked at input layer
• Indirect prompt injection — attack payloads stripped from retrieved documents, emails, and web content
• 100+ injection test cases in continuous adversarial regression suite
• Jailbreak resistance scoring across known and novel bypass techniques
• Response monitoring for signs of successful injection — system prompt leakage, anomalous behaviour
• Context sanitisation for RAG pipelines before injected content reaches the model

Why Indirect Injection Is Critical

Indirect prompt injection plants attack payloads in content the LLM reads — documents, emails, database records — without any malicious user interaction. Standard input validation misses it entirely.

Agent Hijacking Risk

When an LLM has tool access (file system, APIs, code execution), a successful prompt injection becomes a full agent hijack with potential for data exfiltration and system compromise.

Continuous Adversarial Testing

Jailbreak techniques evolve continuously. The adversarial regression suite runs 100+ test cases on every model update — not just at initial deployment.