Matters.AI provides an autonomous AI Security Engineer that continuously monitors and protects sensitive data across hybrid clouds, SaaS applications, endpoints, and AI pipelines. Using semantic AI, data‑lineage modeling, and predictive behavior analysis, it identifies misuse and automatically remediates threats, reducing alert fatigue and preventing costly breaches.
Funding
$4.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
2OFounders
Product
Problem
Organizations face increasing data breach risk as sensitive information spreads across hybrid clouds, SaaS applications, endpoints, and AI pipelines. Traditional security tools rely on static rules and generate noisy alerts, leaving gaps in context‑aware protection and leading to fragmented defenses.
Solution
Matters.AI provides an autonomous AI Security Engineer that continuously monitors data wherever it resides, understands business context, and proactively resolves misuse before a security operations center must intervene. The platform leverages semantic intelligence, nearest‑neighbor search, data‑lineage modeling, and predictive behavior analysis to identify sensitive data, assess risk, and automatically remediate threats across cloud, SaaS, and endpoint environments. By acting like a human security engineer, it reduces alert fatigue, improves detection accuracy, and helps organizations prevent costly breaches.
Target Audience
Primary customers are enterprise security and compliance teams managing data across multi‑cloud, SaaS, and endpoint environments, particularly those seeking to replace fragmented legacy tools with AI‑driven protection.
Features
- Semantic AI engine that interprets data context and business relevance for precise risk assessment
- Real‑time nearest‑neighbor search to locate sensitive data across hybrid cloud, SaaS, and endpoint stores
- Data‑lineage modeling that tracks data flow and identifies misuse throughout AI pipelines and microservices
- Predictive behavior analysis that anticipates potential leaks and initiates automated remediation actions
- Unified visibility and control across 10+ legacy security tools, consolidating alerts into a single, actionable interface
- Autonomous response capabilities that fix data risks and stop leaks without manual ticket creation