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Humanbound
Open-source security testing for AI agents and chatbots
Humanbound continuously tests AI agents and chatbots with adversarial attacks, tags findings to OWASP LLM and Agentic Top 10, and scores security posture.
Humanbound is an open-source security testing platform that continuously tests AI agents and chatbots against adversarial attacks. Install via pip, point it at your agent's endpoint, and get an A-F security posture score. Features include multi-turn adaptive testing for prompt injection, jailbreaks, goal hijacking, tool misuse, and data exfiltration. Findings map to OWASP LLM and Agentic Top 10, MITRE ATLAS, NIST AI RMF, and regulatory frameworks. Includes pytest CI/CD plugin, custom firewall to block discovered attacks, and free Community dashboard. Bring your own LLM model. Apache 2.0 licensed, free for commercial use.
About Humanbound on Product Hunt
“Open-source security testing for AI agents and chatbots”
Humanbound was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #556 on the daily leaderboard. Humanbound continuously tests AI agents and chatbots with adversarial attacks, tags findings to OWASP LLM and Agentic Top 10, and scores security posture.
On the analytics side, Humanbound competes within Productivity — topics that collectively have 664.9k followers on Product Hunt. The dashboard above tracks how Humanbound performed against the three products that launched closest to it on the same day.
Who hunted Humanbound?
Humanbound was hunted by Vladislav Dyachenko. 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 Humanbound including community comment highlights and product details, visit the product overview.
Vladislav Dyachenko