Polaris — AI Guardrails from Compliance PDFs

Polaris auto-generates production AI-agent security policies from enterprise compliance documents. Drop a SOC 2, HIPAA, EU AI Act, or PCI-DSS PDF onto the dashboard, and within 60 seconds Polaris ships a live firewall policy sitting inline between your AI agents and their LLM backend. Four Gemini agents drive the loop. A Reader extracts machine-readable requirements from the PDF. A Synthesizer compiles those into a Lobster Trap YAML policy using schema-first generation (Pydantic response_schema, no string parsing). A built-in validation gate runs `lobstertrap test` against an 11-case adversarial corpus — policies that fail are regenerated, never deployed. A Red Team agent then probes the deployed policy with adversarial variants (base64 smuggling, role-play injection, exfiltration attempts); detected gaps automatically trigger Synthesizer to patch the policy and hot-reload Lobster Trap with zero downtime. Every deployment passes through a SOC 2 CC8.1 consent gate with append-only chain-of-custody logging. Borderline credential-adjacent prompts route to a QUARANTINE review queue rather than silent denial. Four pre-built policy packs (SOC 2, HIPAA, EU AI Act, PCI-DSS) ship verified at 11/11 corpus pass for instant deployment without a PDF. End-to-end latency on the SOC 2 demo doc: 11.1 seconds — well under the 60-second claim. The pipeline is direct Gemini API calls (no LangChain, no CrewAI), ~200 lines of orchestration code, deliberately framework-free. The result: three weeks of legal review compressed into seconds, with measurable, auditable, continuously-tested AI guardrails enterprises can actually deploy.