Cyberhaven

What Cyberhaven does

Cyberhaven offers a unified AI and data security platform that combines Data Security Posture Management (DSPM), Data Loss Prevention (DLP), Insider Risk Management (IRM), and AI Security. It protects sensitive data wherever it lives and goes across endpoints, cloud, on-prem, SaaS, and AI tools. The platform uses deep data lineage and agentic AI to help organizations prevent data loss, reduce insider risk, and securely enable AI adoption without hindering business operations. Cyberhaven's approach focuses on understanding the full journey of data, from its origin through every movement, copy, edit, and share, providing context that traditional security tools lack.

Products

• Cyberhaven AI & Data Security PlatformA unified platform combining DSPM, DLP, Insider Risk Management, and AI Security to protect data across endpoints, cloud, on-prem, SaaS, and AI tools. It uses deep data lineage and agentic AI to prevent data loss, reduce insider risk, and enable secure AI adoption.
• DSPM (Data Security Posture Management)Secures data across clouds and devices, providing continuous discovery to ensure nothing falls through the cracks and offering a unified view of data risk.
• DLP (Data Loss Prevention)Reimagined DLP that prevents data exfiltration and leaks across email, web, cloud, and devices by coaching users and blocking leaks. It combines content analysis with data lineage to reduce false positives and protect data that eludes traditional content analysis.
• IRM (Insider Risk Management)Combines data and behavior signals to detect and stop insider threats, clarify intent, and catch slow-burning risks. It uses user risk scores incorporating data sensitivity and behavior, and offers tiered, automated responses.
• AI SecurityIncreases secure AI adoption by understanding shadow AI usage, assessing AI risk posture, and preventing leaks to AI tools without blocking teams. It provides visibility into AI usage, controls data flow to and from AI tools, and aligns AI usage with risk tolerance.
• Linea AIAn autonomous analyst that investigates, prioritizes, and resolves incidents faster. It applies predictive AI using proprietary Large Lineage Models (LLiM) to instantly detect risky activity and accelerate investigations.

Key capabilities

• Unified data security platform (DSPM, DLP, IRM, AI Security)
• Deep data lineage technology
• Agentic AI
• AI-based classification
• Autonomous risk detection (Linea AI Detection Agent)
• Accelerated investigations (Linea AI Analyst Agent)
• Real-time enforcement and user coaching
• Shadow AI discovery and risk assessment
• AI data flow control
• Granular data tracking (not just files)
• Coverage for all assets (endpoints, cloud, SaaS, AI applications)
• Out-of-the-box policy templates
• Privacy and obfuscation features
• Reporting and analytics with customizable dashboards
• Role-based access control
• User directory support
• Built on open APIs for integrations
• Modern cloud architecture
• Lightweight endpoint agent (Windows, macOS, Linux)
• Browser extension for web-based cloud applications
• Forensic file capture
• Screen recordings for incident context
• Remote forensics
• Policy testing on historical data
• Protection for encrypted and compressed data

Use cases

• Stopping data exfiltration
• Preventing data leaks
• Managing insider threats and risks
• Securing AI adoption
• Understanding shadow AI usage
• Assessing AI risk posture
• Protecting sensitive data across endpoints, cloud, on-prem, SaaS, and AI tools
• Regulatory compliance
• Reducing data retention costs
• Accelerating incident response and investigations
• Securing agentic workflows
• Protecting source code, customer data, and product designs
• Ensuring client confidentiality and ethical wall compliance for professional services
• Protecting intellectual property (IP)
• HIPAA compliance and protecting patient data (PHI, EHR records, research data)
• Managing client portfolios, proprietary research, and regulatory obligations (SEC, FINRA, SOX) for financial services
• Identifying unknown data, applications, and storage locations
• Detecting risky data ingress (e.g., IP from former employers)
• Offboarding employees and ensuring return/destruction of company data
• Identifying employees who accessed leaked data

AI approach

Cyberhaven uses AI-native platform with proprietary models like Linea AI, which includes a Detection Agent applying predictive AI using Large Lineage Models (LLiM) and an Analyst Agent for investigations. Their AI-based classification and data lineage technology are central to their data security solutions, enabling accurate data classification, risk detection, and incident response.

Tech named: AI-native platform, agentic AI, Linea AI, Linea AI Detection Agent, predictive AI, Large Lineage Models (LLiM), Linea AI Analyst Agent, AI-based classification, Data Lineage technology, optical character recognition (OCR)

Industries served

• Computer and Network Security
• Technology & SaaS
• Manufacturing
• Professional Services
• Law Firms
• Financial Services
• Healthcare
• Life Sciences

What it says sets it apart

• Unified platform for DSPM, DLP, IRM, and AI Security
• Deep data lineage technology that traces every piece of data from origin through all movements and transformations
• AI-native platform with agentic AI (Linea AI) for autonomous risk detection and accelerated investigations
• Context-driven security that understands what data is, where it came from, and who touched it, rather than just content inspection
• Significantly reduces false positives (95% fewer alerts compared to other tools)
• Modern cloud architecture with lightweight endpoint agents and browser extensions
• Ability to protect data obscured by encryption and compression
• Comprehensive visibility across managed and unmanaged cloud apps, devices, and agentic workflows
• Simple, powerful policies that are easy to create and maintain using a visual editor and historical data testing
• Real-time action with user coaching and tiered response options
• Indefinite storage of event records to detect slow-burning incidents
• User risk scores incorporating data sensitivity and behavior
• Elevated remediation for users with a history of risky activity or departing employees

Funding rounds we track

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