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).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Cerberus
Cerberus watches what your AI agent's tools do
Cerberus watches what your AI agent's tools do — the private data they read, the untrusted content they ingest, and the outbound calls they make — and blocks a prompt-injection exfiltration before the outbound tool runs. It works at the tool-call level, so it's robust to prompt wording and model changes.
Cerberus Core is now live — runtime security for AI agents that actually works. Most agents are one clever prompt injection away from leaking your data. The classic attack uses the Lethal Trifecta: Privileged data access
Injected instructions from untrusted content
Outbound exfiltration
Cerberus watches the tools themselves at runtime, correlates all three, and blocks the outbound call before a single byte leaves — completely independent of prompt wording or model changes. Open core (MIT)
npm / PyPI ready
LangChain, Vercel AI SDK, OpenAI Agents, LangGraph, CrewAI, etc.
Try the demos in < 60 seconds Repo: https://github.com/Odingard/cerb...
Product / Enterprise: https://sixsenseenterprise.com If you build agents that touch real data + tools, this is your new guardian. Drop a comment if you're integrating it — happy to help with setup! #AISecurity #AgentSecurity #PromptInjection #LLM #OpenSource
About Cerberus on Product Hunt
“Cerberus watches what your AI agent's tools do”
Cerberus was submitted on Product Hunt and earned 0 upvotes and 3 comments, placing #146 on the daily leaderboard. Cerberus watches what your AI agent's tools do — the private data they read, the untrusted content they ingest, and the outbound calls they make — and blocks a prompt-injection exfiltration before the outbound tool runs. It works at the tool-call level, so it's robust to prompt wording and model changes.
On the analytics side, Cerberus competes within Developer Tools, Artificial Intelligence, GitHub and Tech — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how Cerberus performed against the three products that launched closest to it on the same day.
Who hunted Cerberus?
Cerberus was hunted by Andre Byrd. 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 Cerberus including community comment highlights and product details, visit the product overview.
Andre Byrd