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Unplug AI
Security layer to protect LLM applications from attacks
Unplug is agent runtime security for LLM applications. It tracks where text came from (user vs retrieved vs tool output), scans for prompt injection and destructive actions, and enforces tool-call policy, with span-level redaction instead of binary blocking. Most guardrails nuke the whole message. Unplug finds the exact attack span and surgically removes it, keeping the rest usable.
Unplug is agent runtime security for LLM applications. If your AI reads web pages, emails, or uploaded files before answering and you can't afford it silently getting hijacked by a hidden instruction in that content then this is for you.
✍️ Here's how it works:
Drop an agent in front of untrusted content. Every web page, email, or file your agent reads is scanned before it reaches the model. Because that's the real attack surface: the injection isn't coming from the user's prompt, it's hiding in a webpage that tells your agent to ignore its instructions and exfiltrate your API keys.
Watch it find the attack, not nuke the message. Most guardrails either block the whole input (killing useful content) or let everything through (dangerous). Unplug finds the exact malicious span and surgically removes just that replaces the attack, the rest of the page survives. You get to keep the content that matters.
Check the actions, not just the text. The poisoned agent tries to send those API keys somewhere? That tool call gets flagged for review. A destructive command? Blocked outright. Unplug protects what your agent does, not just what it reads.
Run it fully offline. No cloud, no data leaving your infra, no per-request API cost. One line upgrades detection from regex to a local ML model.
Unplug the bad AI: Find the attack. Cut the attack. Keep the rest.
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About Unplug AI on Product Hunt
“Security layer to protect LLM applications from attacks”
Unplug AI was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #133 on the daily leaderboard. Unplug is agent runtime security for LLM applications. It tracks where text came from (user vs retrieved vs tool output), scans for prompt injection and destructive actions, and enforces tool-call policy, with span-level redaction instead of binary blocking. Most guardrails nuke the whole message. Unplug finds the exact attack span and surgically removes it, keeping the rest usable.
Unplug AI was featured in Open Source (68.8k followers), Artificial Intelligence (478.1k followers), GitHub (41.4k followers) and Security (2.9k followers) on Product Hunt. Together, these topics include over 169.5k products, making this a competitive space to launch in.
Who hunted Unplug AI?
Unplug AI was hunted by Chirag . 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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Chirag
Hey Product Hunt 👋
I'm Shivanshi, the member in team of Unplug.
Unplug is agent runtime security for LLM applications. If your AI reads web pages, emails, or uploaded files before answering and you can't afford it silently getting hijacked by a hidden instruction in that content then this is for you.
✍️ Here's how it works:
Drop an agent in front of untrusted content. Every web page, email, or file your agent reads is scanned before it reaches the model. Because that's the real attack surface: the injection isn't coming from the user's prompt, it's hiding in a webpage that tells your agent to ignore its instructions and exfiltrate your API keys.
Watch it find the attack, not nuke the message. Most guardrails either block the whole input (killing useful content) or let everything through (dangerous). Unplug finds the exact malicious span and surgically removes just that replaces the attack, the rest of the page survives. You get to keep the content that matters.
Check the actions, not just the text. The poisoned agent tries to send those API keys somewhere? That tool call gets flagged for review. A destructive command? Blocked outright. Unplug protects what your agent does, not just what it reads.
Run it fully offline. No cloud, no data leaving your infra, no per-request API cost. One line upgrades detection from regex to a local ML model.
Unplug the bad AI: Find the attack. Cut the attack. Keep the rest.
Thanks for checking us out. I'll be here all day.