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Regulai
ciberseguridad ia cybersecurity
Most AI governance tools are either expensive SaaS platforms or basic loggers with no enforcement. RegulaI is different: it uses YARA rules — the same engine powering malware detection — to inspect prompts and file attachments in real time, block sensitive data before it reaches any AI provider, and log everything for compliance. Open-source, self-hosted, provider-agnostic. No vendor lock-in, no per-seat pricing.
The inspiration came from watching AI adoption outpace governance inside organizations. As teams started integrating LLMs into their workflows, a critical gap emerged: there were plenty of tools to *use* AI, but almost nothing to *govern* it — no visibility into how models were being used, no policy enforcement, no cost control, no audit trails.
The problem I was trying to solve is fundamentally organizational: when AI is no longer a novelty but an operational dependency, you need the same kind of oversight infrastructure you'd apply to any critical system. Who's using which models? What data is being sent to external APIs? Are there compliance risks? Most solutions I found either required enterprise contracts or were so tightly coupled to a specific vendor's ecosystem that they created new lock-in instead of solving the real problem.
That's what pushed me toward building RegulaI as an open-source project. Budget should not be a barrier to responsible AI adoption — especially for mid-sized organizations or public-sector teams that need governance tooling the most but can least afford proprietary platforms.
As for how the process evolved: I started narrowly focused on usage monitoring, but quickly realized that logging without policy enforcement is just overhead. The scope grew to cover the full governance lifecycle — from access control and rate limiting to audit logs and model routing rules. Each iteration was driven by the question: *what does a solo team or a growing company actually need to deploy AI responsibly, without a six-figure compliance budget?*
About Regulai on Product Hunt
“ciberseguridad ia cybersecurity”
Regulai was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #151 on the daily leaderboard. Most AI governance tools are either expensive SaaS platforms or basic loggers with no enforcement. RegulaI is different: it uses YARA rules — the same engine powering malware detection — to inspect prompts and file attachments in real time, block sensitive data before it reaches any AI provider, and log everything for compliance. Open-source, self-hosted, provider-agnostic. No vendor lock-in, no per-seat pricing.
On the analytics side, Regulai competes within Artificial Intelligence and GitHub — topics that collectively have 508.5k followers on Product Hunt. The dashboard above tracks how Regulai performed against the three products that launched closest to it on the same day.
Who hunted Regulai?
Regulai was hunted by Fernando Denis Ramírez Guerrero. 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 Regulai including community comment highlights and product details, visit the product overview.
Fernando Denis Ramírez Guerrero