LLM Adversarial Security Arena — Jailbreak → Detect → Defend → Verify

Elenchus MCP Server - Adversarial verification system for code review

AI safety evaluation framework testing LLM epistemic robustness under adversarial self-history manipulation

A marketplace of Claude Code plugins for adversarial security and architectural code review.

Official cli of humanbound platform.

Benchmark LLM jailbreak resilience across providers with standardized tests, adversarial mode, rich analytics, and a clean Web UI.

Agent-driven adversarial paper audit framework

Mechanism-grounded taxonomy of 40 LLM jailbreak patterns across 10 categories. Full evaluation harness for 4 frontier models. AI safety research with responsible disclosure.

Systematic exploration of LLM alignment boundaries through logical stress testing

Adversarial MCP server benchmark suite for testing tool-calling security, drift detection, and proxy defenses

9-stage enterprise development pipeline for Claude Code. TDD, adversarial testing, mechanical verification. Any stack.

Comprehensive AI red teaming index: tools, frameworks, benchmarks, datasets, and vulnerability leaderboards for LLM safety and adversarial testing.

Adversarial testing of LLMs on constraint satisfaction deadlocks

Description URF Application Stress Test — adversarial and scalability tests for Unified Rigidity Framework applications, validating limits under load, noise, and edge cases.

LLM adversarial testing toolkit for evaluating language model safety. 96 attack templates in EN/ZH/JA across prompt injection, jailbreak, bias, safety bypass, and multilingual vectors.

Identified critical AI governance gaps: no adversarial testing, undocumented third-party models, and missing incident response. Delivered roadmap to secure high-risk KYC and transaction monitoring systems against evolving threats.

Red team toolkit for stress-testing MCP security scanners — find detection gaps before attackers do

Compliance-focused vulnerability probes for NVIDIA garak, targeting LLMs in regulated industries (CMMC, NIST, HIPAA, DFARS)

LLM-powered fuzzing and adversarial testing framework for Solana programs. Generates intelligent attack scenarios, builds real transactions, and reports vulnerabilities with CWE classifications.

Adversarial testing and robustness evaluation for the Crucible framework