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).
WASA AI Audit Framework
Sovereign AI auditing framework for high-stakes B2B.
WASA Confidence is a methodological framework and compliance suite designed to audit sovereign AI agents and LLMs. We secure enterprise AI deployments by evaluating 4 critical dimensions: Data Leakage prevention (RAG containment), Hallucination mitigation (adversarial stress-testing), Bias control, and strict EU AI Act compliance. Built for industries where a 0.1% error rate is unacceptable.
“Sovereign AI auditing framework for high-stakes B2B.”
WASA AI Audit Framework was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #412 on the daily leaderboard. WASA Confidence is a methodological framework and compliance suite designed to audit sovereign AI agents and LLMs. We secure enterprise AI deployments by evaluating 4 critical dimensions: Data Leakage prevention (RAG containment), Hallucination mitigation (adversarial stress-testing), Bias control, and strict EU AI Act compliance. Built for industries where a 0.1% error rate is unacceptable.
Who hunted WASA AI Audit Framework?
WASA AI Audit Framework was hunted by Marc Pissot. 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.
Want to see how WASA AI Audit Framework stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Marc Pissot