Matters.AI

What Matters.AI does

Matters.AI is the first AI Security Engineer for Data, built for the AI and Data layer, that autonomously sees, understands, and resolves data misuse before your SOC opens a ticket. It functions like an AI security engineer, understanding context, monitoring behavior, and protecting sensitive data autonomously across cloud, SaaS, and endpoints. Matters acts as an AI security engineer, built on a foundation of semantic intelligence, nearest neighbor search, data lineage modeling, and predictive behavior analysis. It doesn’t just detect threats; it understands context, anticipates risk, and takes action proactively across cloud, SaaS, and endpoint environments. Matters combines DSPM and DLP into a single, intelligent platform for Data Detection & Response (DDR).

Products

• AI Data Detection & Response (ADDR)Detects and responds to suspicious data movement using real-time behavioral analysis and content awareness, reducing response time to minutes with context-rich, actionable alerts.
• Data Security Intelligence (DSF)Builds an active, unified inventory of sensitive data across cloud, SaaS, on-prem, and endpoint footprint, enriching data assets with live lineage, deep risk context, and continuous governance mapping.
• Insider Data Risk Management (IDRM)Manages risks from high-privilege users to departing employees.

Key capabilities

• Autonomous AI Data Security Engineer
• Semantic intelligence
• Nearest neighbor search
• Data lineage modeling
• Predictive behavior analysis
• Contextual awareness
• Entity modeling
• Data fingerprinting
• eBPF for data tracking
• Behavioral intelligence
• Enterprise knowledge graphs
• Real-time behavioral analysis
• Content awareness
• Unified inventory of sensitive data
• Continuous governance mapping
• Agentless APIs
• Lightweight sensors
• AI-driven engine for data lineage maps
• Automated policy creation and enforcement
• Real-time prevention and response
• Open APIs
• Enterprise-grade RBAC
• Privacy and obfuscation
• Audit-ready reporting and analytics
• Integration with SIEM, SOAR, and identity stack
• AES-256 encryption for data at rest
• TLS 1.3 for data in transit
• Strict key rotation policies
• Identity-first security
• Granular Role-Based Access Control (RBAC)
• Enforced Multi-Factor Authentication (MFA)
• Principle of least privilege
• Continuous monitoring with real-time automated vulnerability scanning
• 24/7 SOC team with advanced threat detection
• Zero Trust Architecture

Use cases

• Discovering sensitive data
• Classifying sensitive data
• Monitoring sensitive data
• Protecting sensitive data across every environment
• Securing GenAI workflows in real time
• Intercepting data exfiltration
• Prioritizing risks and powering effective response strategies
• Managing insider data risks
• Proactive risk management
• Swift incident response
• Automating policy management
• Stopping data exfiltration in real-time (blocking transfers, isolating devices, alerting teams)
• Preventing insider or accidental leaks
• Compliance mapping and audit response

AI approach

Matters.AI acts as an AI security engineer, built on semantic intelligence, nearest neighbor search, data lineage modeling, and predictive behavior analysis. It understands context, anticipates risk, and takes proactive action across cloud, SaaS, and endpoint environments. It uses AI to understand what data means, track where it lives and moves, and respond to who is interacting with it and why. The platform combines semantic intelligence, contextual awareness, and entity modeling to identify sensitive data. It also fuses behavioral intelligence with enterprise knowledge graphs to connect identities, roles, and intent.

Tech named: semantic intelligence, nearest neighbor search, data lineage modeling, predictive behavior analysis, entity modeling, fingerprinting, eBPF, behavioral intelligence, enterprise knowledge graphs

What it says sets it apart

• First AI Security Engineer for Data
• Moves beyond legacy, out-of-band snapshot tools by instrumenting the live runtime environment
• Analyzes system-level execution across cloud, SaaS, endpoints, on-prem, AI pipelines, and databases
• Reconstructs human and machine intent to intercept data exfiltration and secure GenAI workflows in real time
• Replaces fragmented visibility with continuous, context-aware protection
• Stops data misuse before SOC opens a ticket
• Acts like an AI security engineer: understands context, monitors behavior, and protects sensitive data autonomously
• Built on semantic intelligence, nearest neighbor search, data lineage modeling, and predictive behavior analysis
• Understands what data means, not just how it looks (semantic intelligence, contextual awareness, entity modeling)
• Tracks where data lives and moves using fingerprinting and eBPF (like GPS for sensitive data)
• Responds to who's interacting with data and why (fuses behavioral intelligence with enterprise knowledge graphs)
• One product built to replace five legacy tools
• Reduces response time to minutes with context-rich, actionable alerts (instead of 277-day breach cycles)
• Builds an active, unified inventory of sensitive data with live lineage, deep risk context, and continuous governance mapping
• Consolidates data classification and discovery into a single, cohesive platform
• Follows data everywhere from inception to destination across cloud, SaaS, and endpoints
• Automates policy creation and enforcement through AI capabilities
• Continuously monitors all data movement (email, cloud uploads, removable media, peer-to-peer channels) to detect and stop exfiltration in real-time
• Built for your stack, not ours (Open APIs, seamless integration, no vendor lock-in)
• AI-native platform that thinks like an AI Security Engineer
• Brings context, intent modeling, and intelligent automation to every decision
• Combines DSPM and DLP into a single, intelligent platform for Data Detection & Response (DDR)
• Designed for complexity: traces how sensitive data moves across users, apps, and devices and takes action in real time
• Tracks PII, IP, source code, financials, not just keywords
• Understands context, not just rules
• Scales across multi-cloud, SaaS, endpoints, and on-prem
• Built for leaders who care about risk, reputation, and compliance, not just console alerts
• AI that makes you faster, not just louder (reduces false positives, less manual triage, faster compliance mapping)
• Measurable ROI from Day 1 (99% reduction in false positives, 90% less time on manual triage, 70% faster compliance mapping)

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.