ShieldPi

ShieldPi is a security testing platform focused on automated red-teaming and runtime monitoring for large language model (LLM) applications, AI agents, and MCP servers. It addresses the challenge of proactively identifying vulnerabilities and attack surfaces in AI-driven systems through offensive security techniques and continuous observability. The platform is designed for organizations deploying AI agents or MCP servers who require rigorous security validation and ongoing threat monitoring.

The service leverages a corpus of over 120,000 real-world attack techniques, including jailbreaks, injections, exfiltration methods, and MCP-specific vulnerabilities. ShieldPi's workflow consists of five stages: fingerprinting the target's defenses, executing adaptive attack chains, verifying findings through a three-juror panel, generating audit-ready evidence mapped to standards such as OWASP, MITRE ATLAS, NIST, and the EU AI Act, and maintaining a runtime guard for ongoing protection. Each attack is confirmed with reproducible proof, and the system provides sub-200 millisecond verdicts for runtime events. Findings are exportable in compliance-mapped reports, and the platform supports integration with security information and event management (SIEM) systems including Splunk, Datadog, Sentinel, OCSF, CEF, and Syslog.

ShieldPi operates across multiple surfaces: pre-deployment scans for models, APIs, browser apps, and agents; live monitoring of agent activity including prompts, tool calls, memory writes, and responses; endpoint forensics correlating device activity with agent behavior; and SOC response features for incident triage and automated containment. The platform can be engaged via browser, Python SDK, or endpoint collectors, and it offers features such as adaptive multi-turn attack chains, exploit-depth scoring, and trajectory analysis for suspicious agent behaviors. It also maintains a public leaderboard grading the hardening of major foundation models based on real vulnerability scores updated weekly.

A free scan option is available for MCP servers, allowing organizations to assess their exposure before wider adoption of the platform. , and is positioned as an offensive-first security workflow unifying attack simulation, telemetry correlation, and compliance reporting for AI systems.