LLM Security Research System

A production-grade adversarial testing platform with multi-agent orchestration, Protocol V2 quality gates, and interactive dashboards for model safety analysis. The system evaluates 33 frontier models across 36 attack techniques with strict evidence retention and compliance scoring.

Research Platform

The system coordinates specialized agents for evaluation execution, model discovery, integrity checks, and web monitoring. Evaluation artifacts are stored in a 23-table SQLite schema and indexed in a retrieval layer for cross-technique analysis, refusal detection, and reproducibility.

Protocol V2 enforces hard constraints on prompt length, response variance, and output completeness, reducing false confidence from shallow test runs.

Measured Scope

  • 356 validated evaluations with deduplication controls
  • 36 attack patterns, including 2025-2026 advanced techniques
  • 7 autonomous agents across parallel orchestration groups
  • Dashboard and API layer for full untruncated response review

Why It Matters

Frontier model safety claims require independent verification. This platform provides systematic, reproducible adversarial coverage across model families and attack surfaces — producing evidence that holds up under scrutiny rather than anecdotal demonstration prompts.

Model Coverage

33 frontier models tested systematically, with continuous discovery of new endpoints and versioned comparisons.

Adversarial Depth

36 attack techniques span prompt injection, context manipulation, and advanced 2025-2026 evasion methods.

Reproducible Evidence

Protocol V2 quality gates and full artifact retention ensure every finding can be independently verified.