Automated red-teaming for LLM apps, AI agents, and MCP servers. Every attack you see on the board is a real technique from our corpus — verified findings, audit-ready evidence, runtime response.
120,000+ attack techniques · 30+ live detectors · endpoint telemetry correlation · SIEM-ready alerts
Five stages · one scan · proof at every step
Profile the target's defenses, guardrails, and tool surface before a single payload is fired.
Fire the ranked corpus — jailbreaks, injection, exfil, MCP CVEs, multi-turn — adapting in real time.
A 3-juror V8 panel + StrongREJECT confirms every hit. No score without proof.
Audit-ready findings mapped to OWASP, MITRE ATLAS, NIST, and EU AI Act — with repro hashes.
Inline runtime guard + forensic timeline keep watching after deploy — sub-200ms verdicts.
ShieldPi unifies 120,000+ attack techniques, live agent telemetry, endpoint/device evidence, AI SOC triage, Guard decisions, webhooks, reports, CI/CD, and MCP access behind one security workflow.
The same red-team review against base models, APIs, browser apps, and autonomous agents — before release.
Capture prompts, tool calls, memory writes, responses, and suspicious trajectories while agents work.
Register phones, laptops, or collectors and correlate endpoint activity with nearby agent behavior.
Turn raw detections into incidents, triage notes, webhooks, and automated containment actions.
Real vulnerability scores for every major foundation model — updated weekly from the harvester pipeline.
Scan your MCP server free, then use the same platform to red-team every release and watch every agent in production.
120,000+ techniques · 6 models tested · 125 vulns surfaced · guard p95 < 200ms