EthiHack — AI Security Red-Teaming Agent

EthiHack is an autonomous AI security red-teaming platform that tests any LLM or AI agent for critical vulnerabilities before deployment. The system runs 20 adaptive attack chains covering the full OWASP LLM Top 10 and MITRE ATLAS frameworks — including Direct Prompt Injection, Tool Injection, Jailbreaks, Excessive Agency, Data Exfiltration, Remote Code Execution, Memory Poisoning, Privilege Escalation, Indirect Prompt Injection, and Role Confusion. EthiHack is built as an autonomous agentic system powered by Anthropic Claude. It first fingerprints the target AI, then dynamically adapts every attack payload to the specific model and deployment context. Attacks run in real time via Server-Sent Events (SSE) streaming, with each result carrying a CVSS 3.1 score, business impact analysis, and auto-generated remediation code your engineering team can deploy immediately. In a live demo against MedBot AI — a medical chatbot with database tool access — EthiHack found 8 critical vulnerabilities in under 3 minutes: CVSS 10.0 Remote Code Execution (agent executed root shell commands), Tool Injection causing unauthorized email to 47,832 users, and full database credential exfiltration. Final security score: 0/100 CRITICAL. The platform is fully production-ready: FastAPI backend with async SSE streaming, a dark-mode dashboard UI, and a Railway-hosted live demo. It targets enterprise teams who need to validate AI safety before shipping agents into production workflows — turning what used to be a weeks-long manual audit into a 3-minute automated scan.