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DriftGard
Runtime governance for production AI
DriftGard is a runtime governance platform for production AI. Observe AI behavior, enforce policies in real time, route high-risk actions for human review, and capture audit-ready evidence of what happened and why. Unlike governance tools focused on documentation and pre-deployment assessments, DriftGard helps teams continuously govern AI where it actually runs.
I built DriftGard after seeing a gap in how we govern AI once it moves from experimentation into production.
Most AI governance happens around the AI: policies, documentation, risk assessments, and pre-deployment checks. Those are important, but I kept coming back to a simpler question:
What happens when the AI is actually running?
Can we see what it is doing? Can we enforce policies at runtime? Can we stop or escalate risky actions? And when something goes wrong, can we clearly explain what happened and why?
That became the idea behind DriftGard: a runtime governance layer for production AI.
As I built it, the focus evolved from simply evaluating AI interactions to a broader runtime control layer: observing behavior, enforcing policies, routing high-risk decisions for human review, and capturing audit-ready evidence.
The goal is simple: help teams move from AI governance on paper to governance that operates alongside their AI systems.
DriftGard is still evolving, and I’d genuinely value feedback from builders, security teams, AI leaders, and anyone deploying AI into production.
What are the hardest governance problems you’re encountering with production AI today?
About DriftGard on Product Hunt
“Runtime governance for production AI”
DriftGard was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #41 on the daily leaderboard. DriftGard is a runtime governance platform for production AI. Observe AI behavior, enforce policies in real time, route high-risk actions for human review, and capture audit-ready evidence of what happened and why. Unlike governance tools focused on documentation and pre-deployment assessments, DriftGard helps teams continuously govern AI where it actually runs.
On the analytics side, DriftGard competes within Developer Tools, Artificial Intelligence and Security — topics that collectively have 999.9k followers on Product Hunt. The dashboard above tracks how DriftGard performed against the three products that launched closest to it on the same day.
Who hunted DriftGard?
DriftGard was hunted by Abbie John. 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 DriftGard including community comment highlights and product details, visit the product overview.
Abbie John