We believe organizations should be able to detect compound risk patterns before they become incidents — without sending sensitive data to third parties, without waiting months for implementation, and without needing a $500K budget.
After analyzing 23 enterprise risk platforms, we found the same problems everywhere: single-domain coverage that misses compound patterns, months-long deployments, black-box AI scores regulators can't audit, cloud-only architectures that force data off-premises, and pricing that excludes the mid-market.
Banks with 200 employees face the same BSA/AML requirements as banks with 20,000 — but the tools built for the latter are priced at $67K-$500K per year. That gap is where compound risks hide and incidents happen.
RisksRadarAI is the first cross-domain risk intelligence platform powered by on-premises reasoning AI. We fuse signals across HR, Finance, Security, Operations, and Communications to detect patterns that no single-domain tool can see.
Every alert comes with a regulator-ready evidence brief — not an opaque risk score. Every agent runs in a sandboxed, deny-by-default environment. And the core platform is open source under Apache 2.0, so your compliance team can audit every line of code that touches your data.
RisksRadarAI is built by AIGovHub, an AI governance and compliance platform. AIGovHub provides the governance layer for organizations deploying AI systems. RisksRadarAI extends that mission into continuous operational risk monitoring.
We open-sourced the core platform because trust is non-negotiable in compliance technology. When a regulator asks “how does your AI flag employees?” — the answer should be auditable, not “it's proprietary.”
The community edition is free to self-host forever. Enterprise features (auto-learning, SAR generation, regulatory watchdog) are available with a subscription that funds continued development.