agentic_security vs WonderSuite-Ai-Bug-Bounty
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.; WonderSuite-Ai-Bug-Bounty: WonderSuite is a desktop-native offensive security engine combining Burp Suite-class tooling with autonomous AI agent capabilities for web application security testing. It provides a fully integrated environment for network reconnaissance, exploit development, and vulnerability scanning, all orchestrated through an MCP-compatible AI interface.
TL;DR
- 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.
AI-driven Vulnerability Research: Autonomously discover and analyze security vulnerabilities in web applications using AI agents.
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