cursor-rules-java vs agentic_security
cursor-rules-java: This project offers a collection of AI system prompts designed for Java Enterprise development, aiming to enhance software engineers' daily programming and pipeline workflows. These prompts cover various aspects such as build systems, design, coding, testing, refactoring, and documentation, supporting both interactive and non-interactive behaviors.; agentic_security: Agentic Security is an open-source vulnerability scanner designed to protect AI systems and LLM agent workflows. It detects and mitigates threats like jailbreaks, fuzzing, and multimodal attacks.
TL;DR
Assisting software engineers in daily Java Enterprise programming tasks like coding, testing, and refactoring.
- You want to red-team your own LLM or agent endpoint with multimodal attacks, multi-step jailbreaks, fuzzing and RL-based probes.
- Your target is any HTTP API: you describe it with a plain-text request spec.
- You want a CI check with a budget and a failure threshold, and your own CSV prompt datasets.
- You are not authorised to test the target: only scan systems you own or may test.
- You need to vet MCP servers before installing them: it tests model endpoints, not MCP server code.
- API cost is a problem: scans send many attack prompts.
Side-by-Side Comparison
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