AI Cyber Security Agent
Autonomous AI security agent performing automated vulnerability discovery, OWASP assessment, and risk modeling across enterprise web and network environments.
01 // Problem & Threat Landscape
Traditional security scanners generate excessive false positives and lack contextual awareness. Security teams lose critical response time manually triaging and verifying raw vulnerability reports.
02 // System Architecture & Data Flow
AGENT CORE -> RECON MODULE (Nmap / Subfinder) -> VULNERABILITY ENGINE (Nuclei / Custom OWASP Rules) -> LLM REASONING & RISK TRIAGE -> REPORT GENERATOR -> ENCRYPTED NOTIFICATION BUS
03 // Security Considerations & Controls
Strict execution sandboxing via unprivileged Docker containers, input sanitization against prompt injection, ephemeral credentials, and automated cryptographic signing of all generated reports.
04 // Quantitative Results & Impact
Achieved 78% reduction in manual triage time, an 84% drop in false-positive alerts, and instant automated contextual CVSS v3.1 remediation reports.