AI Security / Prompt Injection Training
Free hands-on labs for prompt injection and LLM security training, with real models, a context trace view of assembled prompts, and a multi-level Gauntlet challenge.
The page clearly presents a real AI security training product with hands-on labs, a defined learning path, and concrete features like Context Trace, redacted prompt layers, and a Gauntlet CTF. It includes enough visible detail to help a public directory user understand what it does, who it is for, and how it is used.
The snapshot does not show sample lab contents, supported model stack, or whether any lab material is downloadable or open source. It also does not show technical prerequisites, account requirements beyond sign-in, or how progress tracking and leaderboard data are handled.
Last evaluated 91 days ago. Current rank #79. Down 2 spots in the rankings.
A security product for Claude Code that reviews application architecture inside the IDE via MCP, with contextual assessments, prioritized mitigations, and continuous re-checks as the codebase changes.
A deterministic security scanner and adversarial flight simulator for AI agents, built for red-teaming LLM workflows and MCP-compatible setups.
A Reco security research article showing an AI-powered agent that maps Salesforce Experience Cloud sites, probes exposed objects and Apex methods, and attempts autonomous exploitation to find data exposure.
