Built by a practitioner,
for practitioners.

Every vulnerability management tool on the market follows the same playbook: charge per asset, lock your data in someone else's cloud, and give you a CVSS score that tells you everything is critical.

We built CVEasy AI because that model is broken. Security teams don't need another dashboard that tells them everything is on fire. They need intelligence, context-aware, actionable, prioritized intelligence that helps them fix what actually matters.

TRIS (TrueRisk Intelligence Score) was built from the ground up as a contextual scoring engine. It started at seven layers: CVSS, EPSS, KEV, business context, asset criticality, threat intelligence, and temporal factors, because that's what it took to make a decision that didn't waste your team's time. A year later, running it in production across healthcare, finance, and critical infrastructure, we found the gaps. TRIS v2 (Patent Pending) now runs twelve layers, adding attack-path blast radius, SBOM-aware supply-chain propagation, MITRE ATT&CK defense efficacy, predictive threat trajectory, and FAIR-based financial impact. Not because twelve sounds impressive. Because that's what it takes for a score to be right.

The AI runs locally on your hardware. Not because we couldn't build a cloud product, because your vulnerability data is the most sensitive inventory you own, and it shouldn't leave your network. Ever.