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Aethra AI is building a runtime defence and governance platform for AI agents - an enforcement layer that tracks data provenance and blocks untrusted instructions before they can drive agent actions. Our open-source SDK (Apache 2.0, Python/Node) is on GitHub, with an optional hosted control plane for approvals and audit. On AgentDojo, Aethra blocked 35/35 injection goals, 0 false positives (full LLM-backed evaluation in progress).
I'm Stanley, Co-Founder and Chief AI Researcher at Aethra AI, launching this with my co-founder Rishi Pal.
We built Aethra because AI agents are starting to take real actions — sending emails, executing code, moving data- and most teams have no way to stop an agent from being manipulated by something it reads, and no record of what it actually did. Aethra is a runtime enforcement layer that tracks where data comes from and blocks untrusted instructions before they can drive an agent's actions, in production.
We're early: working with design partners to pressure-test the architecture ahead of a public SDK release. We'd genuinely value feedback from anyone building or securing agentic systems, especially if you've hit this problem yourself.
Ask away below; happy to go deep on the architecture and what we're not solving yet.
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About Aethra Runtime defence on Product Hunt
“Runtime defence and governance for AI agents”
Aethra Runtime defence was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #160 on the daily leaderboard. Aethra AI is building a runtime defence and governance platform for AI agents - an enforcement layer that tracks data provenance and blocks untrusted instructions before they can drive agent actions. Our open-source SDK (Apache 2.0, Python/Node) is on GitHub, with an optional hosted control plane for approvals and audit. On AgentDojo, Aethra blocked 35/35 injection goals, 0 false positives (full LLM-backed evaluation in progress).
Aethra Runtime defence was featured in SaaS (44.3k followers), Privacy (11.3k followers) and Artificial Intelligence (479.1k followers) on Product Hunt. Together, these topics include over 189k products, making this a competitive space to launch in.
Who hunted Aethra Runtime defence?
Aethra Runtime defence was hunted by Stanley Nyadzayo. 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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Stanley Nyadzayo
Hey Product Hunt
I'm Stanley, Co-Founder and Chief AI Researcher at Aethra AI, launching this with my co-founder Rishi Pal.
We built Aethra because AI agents are starting to take real actions — sending emails, executing code, moving data- and most teams have no way to stop an agent from being manipulated by something it reads, and no record of what it actually did. Aethra is a runtime enforcement layer that tracks where data comes from and blocks untrusted instructions before they can drive an agent's actions, in production.
We're early: working with design partners to pressure-test the architecture ahead of a public SDK release. We'd genuinely value feedback from anyone building or securing agentic systems, especially if you've hit this problem yourself.
Ask away below; happy to go deep on the architecture and what we're not solving yet.