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Attack real AI agents with modern adversarial techniques, then turn on defenses and see what changes. Explore prompt injection, MCP poisoning, RAG/memory attacks, excessive agency, zero-click exfiltration, and more — entirely client-side.
Hey Product Hunt 👋
I built Adversarial Prompt Lab because I think AI security is easier to understand when you can actually break things.
The lab contains 12 hands-on security experiments covering prompt injection, MCP tool poisoning, excessive agency, the lethal trifecta, RAG/memory poisoning, zero-click exfiltration and more.
The workflow is deliberately simple:
Attack → Observe → Defend → Attack again.
Everything runs client-side and you bring your own API key. No backend, no telemetry, and the attacks use benign canaries rather than real secrets.
I'd love feedback from security researchers, AI engineers, red teamers, and anyone building agents:
What attack or defense should I add next?
Try breaking it. 🧠
— Sonu / AI Anytime
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About Adversarial Prompt Lab on Product Hunt
“A hands-on playground for AI agent security”
Adversarial Prompt Lab was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #93 on the daily leaderboard. Attack real AI agents with modern adversarial techniques, then turn on defenses and see what changes. Explore prompt injection, MCP poisoning, RAG/memory attacks, excessive agency, zero-click exfiltration, and more — entirely client-side.
Adversarial Prompt Lab was featured in Developer Tools (518.6k followers), Artificial Intelligence (477.5k followers), GitHub (41.4k followers) and Tech (631.4k followers) on Product Hunt. Together, these topics include over 395.8k products, making this a competitive space to launch in.
Who hunted Adversarial Prompt Lab?
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AI Anytime