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VentureBeat
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Security teams can respond 80% faster to events with Cyberhaven’s AI-powered data lineage tools
- The unauthorized use of AI, known as shadow AI, is on the rise, with up to 96% of AI interactions by employees occurring through non-corporate accounts.
- Cyberhaven addresses this issue by utilizing large lineage models (LLiMs) and introducing Linea AI to curb shadow AI and predict high-risk incidents.
- By analyzing the workflows of 3 million workers, Cyberhaven observed a 485% growth in AI usage along with a significant sharing of sensitive data outside corporate accounts.
- Linea AI leverages LLiMs trained on real enterprise data flows, incorporating computer vision and multi-modal AI to analyze various data formats and assess policy violations.
- Cyberhaven's approach has led to a substantial reduction in manual incident reviews, an 80% decrease in mean time to respond to security incidents, and the discovery of critical risks overlooked by traditional tools.
- The platform offers intelligent screenshot analysis and content inspection, providing context around data based on lineage traces to enhance data security.
- Cyberhaven's Let Linea Decide feature autonomously assesses incident severity to help security teams prioritize alerts and understand anomalous events more efficiently.
- By predicting user actions based on historical data, Cyberhaven's platform enhances data comprehension, aiding in the detection of insider risks and potentially malicious activities.
- Users have reported significant reductions in mean time to respond to security incidents and improved incident detection with Cyberhaven's Linea AI, showcasing the platform's effectiveness in enhancing data security.
- The platform's ability to prevent data exfiltration to unauthorized accounts and provide real-time alerts and education to users demonstrates its proactive approach to data protection.
- Customers like DailyPay have experienced notable improvements in incident response times and risk identification due to Cyberhaven's innovative data lineage strategy and AI-powered solutions.
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