This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
AegisLM shows how easily modern AI can be broken. Test any model for prompt injection, jailbreaks, and data leaks in seconds. Input a prompt, run attacks, and see where it fails. Designed for builders who want to stress-test AI systems under real-world conditions. Try built-in attacks or create your own.
I built AegisLM as a small prototype after noticing how easy it is to break many AI systems with simple prompt injections or jailbreak-style inputs.
This isn’t a polished product yet—it’s an early attempt to explore AI security from an adversarial perspective. Instead of focusing on what models can do, I wanted to see how they fail under real-world attacks.
You can try a few basic attack scenarios, tweak inputs, and see where things break.
Would really appreciate feedback on:
What types of attacks I should test next
Where the tool feels weak or incomplete
How this could be made more useful in practice
If you’re building with AI, curious to know—how do you currently test for failures?
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About AegisLM on Product Hunt
“See how easily your AI can be broken — in seconds”
AegisLM was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #145 on the daily leaderboard. AegisLM shows how easily modern AI can be broken. Test any model for prompt injection, jailbreaks, and data leaks in seconds. Input a prompt, run attacks, and see where it fails. Designed for builders who want to stress-test AI systems under real-world conditions. Try built-in attacks or create your own.
AegisLM was featured in Developer Tools (512.9k followers) and Artificial Intelligence (469.2k followers) on Product Hunt. Together, these topics include over 164.4k products, making this a competitive space to launch in.
Who hunted AegisLM?
AegisLM was hunted by Ayush Ahirrao. 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.
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Ayush Ahirrao