Enhancing Data Security with Cyberhaven's Linea AI
Tracking Data Lineage to Prevent Unauthorized Use of AI
In today's digital landscape, data security is of utmost importance for organizations. With the increasing use of AI, it is crucial to prevent unsanctioned access to sensitive data. This is where Cyberhaven's Linea AI comes into play. By leveraging AI-powered data lineage tools, security teams can respond faster to events and protect company data effectively. In this article, we will explore how Linea AI works, its features, and the benefits it offers in enhancing data security.
Analyzing Data from Various Sources with Large Lineage Models
Cyberhaven's Linea AI helps prevent unsanctioned use of AI and protect sensitive company data by tracking data lineage across different users and endpoints. Utilizing large lineage models (LLiMs) trained on billions of real enterprise data flows, Linea AI can analyze data from various sources such as images, screenshots, technical diagrams, and other materials. This comprehensive approach allows for a thorough understanding of how data moves within the organization and helps identify any potential security risks.
Enhancing Incident Response Time and Manual Review Reduction
One of the key strengths of Linea AI is its ability to analyze data from multiple sources. With the help of large lineage models, Linea AI can perform content and context inspection, examining data and providing valuable context based on lineage traces. This allows security teams to not only detect unauthorized access or policy violations but also gain a deeper understanding of how data is being used across the organization. By analyzing data from various sources, Linea AI helps uncover critical risks that may go unnoticed by traditional tools.
Detecting Insider Threats and Unauthorized Data Access
One common challenge for security teams is alert fatigue, where the sheer volume of alerts can overwhelm analysts and lead to missed security incidents. Linea AI addresses this issue with its 'Let Linea AI Decide' feature. This feature autonomously assesses policy violations and incident severity, reducing the burden on security operations centers (SOC) and minimizing alert fatigue. As a result, organizations can experience a 90% reduction in incidents requiring manual review and an 80% drop in mean time to respond (MTTR) to security incidents related to data security.
Realizing the Benefits of Linea AI: Testimonials from Customers
Linea AI goes beyond traditional security tools by detecting insider threats and unauthorized data access. It can identify users attempting to send data to personal accounts or taking sensitive data while leaving a company. This proactive approach helps organizations prevent data breaches and mitigate potential risks posed by malicious insiders. By leveraging Linea AI's advanced capabilities, organizations can strengthen their data security measures and protect sensitive information from unauthorized access.
Statistics: AI Usage and Unauthorized Data Access
Customers of Linea AI have expressed their satisfaction with its capabilities. Prabhath Karanth, CSO and CIO of family financial app Greenlight, mentioned that Linea AI provides them with visibility into how their data moves and is used across the organization, offering insights not found with traditional security tools. Aaron Arkeen, senior security engineer at earned wage access platform DailyPay, highlighted how Linea AI consistently identifies nuanced risks that traditional systems often miss. These testimonials showcase the practical benefits organizations can gain by implementing Linea AI for enhanced data security.