AI TOOL PROFILE
Cyberhaven: AI and Data Security Platform
- Security
- Cybersecurity
- Mid-market companies
- Enterprise companies
- Regulated industries
- Security operations teams
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
At a glance
- Best for
- Mid-market companies, Enterprise companies, Regulated industries, Security operations teams
- Key use cases
- Preventing Data Exfiltration, Managing Insider Risk, Securing AI Adoption, Supporting Incident Investigations, Supporting Regulatory Compliance
- Integrations
- SIEM tools, Cloud directory services, On-premises directory services
- Official website
- Visit cyberhaven official website
How AI is used
Cyberhaven is a unified data security platform designed to protect sensitive information as it moves across a company's digital environment. It combines Data Security Posture Management (DSPM), Data Loss Prevention (DLP), and Insider Risk Management (IRM) into a single solution.
The tool is designed for companies in technology, healthcare, manufacturing, and legal sectors. It focuses on tracing the journey of data—from creation to movement and fragmentation—rather than just inspecting content in isolation.
Beyond leak prevention, the platform includes tools for managing AI risk, such as identifying shadow AI usage and helping prevent sensitive data from being leaked into generative AI tools. It also provides agents to support the investigation of security incidents.
Buyers should confirm how the tool's automated classification fits into their existing compliance workflows and evaluate if their technical teams have the capacity to operate the platform.
Key Features
Data Lineage Tracing
Maps the journey of sensitive data from its creation through movement and transformation.
Unified DSPM and DLP
Combines data discovery, classification, and exfiltration prevention in one platform.
AI Security
Supports the detection of shadow AI usage and helps prevent data leaks to generative AI tools.
Linea AI Detection Agent
Uses predictive AI and Large Lineage Models to detect potentially risky activity in real time.
Linea AI Analyst Agent
Supports investigations of incidents by analyzing history and data lineage to produce reports.
Compliance Support
Includes tools and audit trails designed to support GDPR, HIPAA, CCPA, and PCI DSS requirements.
Use Cases
Preventing Data Exfiltration
Monitoring and blocking the movement of sensitive data across email, web, cloud, and removable storage.
Managing Insider Risk
Combining data movement signals with user behavior to help detect and stop insider threats.
Securing AI Adoption
Identifying unauthorized AI tool usage and assessing the risk posture of AI agents within the organization.
Supporting Incident Investigations
Using AI agents to gather evidence and analyze screen activity to help resolve security alerts.
Supporting Regulatory Compliance
Classifying data and tracking its movement to provide audit trails for privacy regulations.
Integrations
- SIEM tools
- Cloud directory services
- On-premises directory services
FAQ
What is Cyberhaven used for?
- Cyberhaven is used to prevent data exfiltration and manage insider risk by combining DSPM, DLP, and AI security into one platform.
How does Cyberhaven handle AI risks?
- The platform helps organizations identify shadow AI usage, assess AI risk posture, and prevent sensitive data from leaking into generative AI tools.
Who is Cyberhaven designed for?
- It is designed for mid-market and enterprise companies, especially those in tech, manufacturing, healthcare, and legal sectors.
Source category: Security
Source subcategory: Cybersecurity
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