Cyberhaven, a leader in AI-powered enterprise data security, has establish powerful new abilities to help organizations gain deeper visibility or control over their data. With a bold rethinking of legacy approaches, the company has completely rebuilt data loss prevention (DLP) and insider threat management from the ground up—creating a solution that prioritizes context, intelligence, and operational efficiency.
At the core of this transformation is a data lineage-first architecture, bolstered by artificial intelligence. Unlike traditional security tools that rely heavily on basic content scanning, Cyberhaven’s platform understands the journey and context of data. This qualify real-time protection without unsettle business processes.
Modern enterprises using the platform report remarkable results, including a 90% drop in false positives and incident investigation times reduced by a factor of five. These metrics prove that effective data protection doesn’t have to come at the expense of productivity.
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“CISOs are all too familiar with the shortcomings of legacy DLP tools, which generate excessive alerts and interfere with legitimate work,” said Nishant Doshi, interim CEO at Cyberhaven. “We took a fundamentally different route by integrating AI with a lineage-first design, giving security teams true visibility into data context and empowering them to make smarter decisions.”
Redefining Data Security with AI-Driven Innovation
Cyberhaven’s newly enhanced platform features cutting-edge tools that are reshaping how businesses approach data protection. The following innovations illustrate a leap beyond what traditional security technologies can deliver:
Linea AI acts as a fully autonomous security analyst, analyzing user activity, behavioral context, and data movement patterns to perform comprehensive investigations. What would normally take hours of manual work can now be done in minutes—producing actionable insights and eliminating guesswork.
Insights 360 converts raw security data into strategic intelligence. By aligning with the Data Security Maturity Model, it maps data flows, identifies high-risk areas, and monitors the effectiveness of existing security policies. This gives security leaders a clear roadmap for improvement.
Security for AI label one of today’s fastest-progressing challenges: the rapid adoption of generative AI tools. This feature evaluates the use and risk of both authorized and unauthorized AI applications, ensuring that productivity gains don’t come at the expense of data security.
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“There’s a saying that speed kills—but in cybersecurity, speed saves,” said James McCarthy, Senior VP of Sales at Cyberhaven. “Our approach accelerates threat detection by cutting through the noise and surfacing what really matters.”
Expanding the Platform: New Capabilities for the Modern Enterprise
In its latest update, Cyberhaven has introduced four new capabilities that enhance its already robust platform and reinforce its mission to modernize enterprise data security:
Data Catalog – A centralized interface that offers full visibility into organizational data, enabling policy-makers to design more targeted and effective protection strategies.
AI-Powered Data Classification – Automatically detects and classifies sensitive data, providing insights into its origin and movement to inform smarter protection tactics.
Cloud Connectors – Deepens integration with cloud partnership tools such as Google Drive, SharePoint, and OneDrive, extending data lineage into cloud environments for seamless oversight.
Endpoint Data-at-Rest Scanning – Identifies sensitive information stored on user devices and applies proactive security controls to block unauthorized exfiltration.
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Source: prnewswire
