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Adversarial Prompt Lab
A hands-on playground for AI agent security
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
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.
On the analytics side, Adversarial Prompt Lab competes within Developer Tools, Artificial Intelligence, GitHub and Tech — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how Adversarial Prompt Lab performed against the three products that launched closest to it on the same day.
Who hunted Adversarial Prompt Lab?
Adversarial Prompt Lab was hunted by AI Anytime. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Adversarial Prompt Lab including community comment highlights and product details, visit the product overview.
AI Anytime