Shark

AI agents fail in ways QA never catches, not through code vulnerabilities, but through how they reason, retrieve, and act. Shark is a red-teaming workspace built specifically for agents. Connect your agent, and Shark attacks it across the full execution chain: direct and indirect prompt injection, tool chaining abuse, privilege escalation, memory poisoning, and semantic data exfiltration through retrieved documents and summarised output. Unlike generic penetration testing tools, Shark understands agent-specific attack surfaces, the ones that only exist because the system reasons in natural language and acts through tools. It runs a three-layer methodology: Surface maps what your agent can reach, Depth probes each layer for exploitability, Chain tests whether weaknesses combine into full attack sequences. Output is a structured findings report your engineering team can act on immediately, plus a security certification you can show customers, partners, or regulators. Know exactly what breaks before production finds it.