Multi-vendor AI security demo — three red-team agents (OpenAI, Google, Anthropic) attack a target app; a blue-team orchestrator routes to WAF, AppSec, SIEM, IR, or SOC specialists.
Auto-cycles A1 (OpenAI) → A2 (Google) → A3 (Anthropic). Opens full demo for real LLMs.
Each round: a red-team agent generates a fictional attack payload (streamed). The Router (Claude Sonnet) classifies the vector and picks primary + backup defenders — not a hardcoded if/else tree.
A shadow clone animates from the Defense Hub to the attack path; the chosen specialist (WAF, AppSec, SIEM, IR, SOC) streams the block response. The hub node label updates to the active defender during engage.
Scenario keywords are whitelisted (demo-safe). Same scenario maps to a default attacker: SQL/credentials → OpenAI, XSS/phishing → Google, RCE/DDoS/malware → Anthropic.
Live mode: 1 LLM round per visitor every 10 minutes (IP + browser fingerprint). Mock preview has no limit.
Copy a scenario into the live demo input, or use the hint chips on the demo page.
Attacker 1 · OpenAI · WAF + AppSec
Attacker 2 · Google · AppSec + WAF
Attacker 3 · Anthropic · IR + SIEM
Attacker 3 · Anthropic · WAF + SIEM