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LLM Governance Engine
Self-hosted PII firewall for LLMs — policies, audit trail
A robust LLM Governance & ROI Evaluation platform designed to benchmark Frontier models against local open-source models. Built with an enterprise microservices architecture and cloud-ready for Kubernetes, this tool helps organizations optimize AI spend by calculating the accuracy-vs-cost tradeoff of local vs. cloud inference - sochaty/llm-governance-engine
Hey PH 👋 Maker here.
This started from a real incident — I accidentally sent a customer's credit card number to GPT-4o during a benchmark test. Saw it in the logs the next morning. Already gone.
Spent the weekend building a firewall so it couldn't happen again. Every prompt gets scanned by Microsoft Presidio before it reaches any model. If PII is detected above a confidence threshold, the request is blocked — HTTP 403 — before it touches the wire.
The part I'm most proud of: the policy engine is a YAML file. No restarts, no code changes — edit the file, hit one endpoint, rules are live. Ship a policies/hipaa.yaml or policies/gdpr.yaml to your team, and your compliance posture is a git commit.
Happy to answer anything about the Presidio integration, the FastAPI dependency injection pattern, or the multi-provider routing. Ask away.
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About LLM Governance Engine on Product Hunt
“Self-hosted PII firewall for LLMs — policies, audit trail”
LLM Governance Engine was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #160 on the daily leaderboard. A robust LLM Governance & ROI Evaluation platform designed to benchmark Frontier models against local open-source models. Built with an enterprise microservices architecture and cloud-ready for Kubernetes, this tool helps organizations optimize AI spend by calculating the accuracy-vs-cost tradeoff of local vs. cloud inference - sochaty/llm-governance-engine
LLM Governance Engine was featured in Open Source (68.6k followers), Privacy (11.2k followers), Artificial Intelligence (473.1k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 150.6k products, making this a competitive space to launch in.
Who hunted LLM Governance Engine?
LLM Governance Engine was hunted by Sourish Chakraborty. 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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Sourish Chakraborty