AI and LLM Capabilities
Cyberhaven’s AI and LLM capabilities help organizations improve their incident management workflows. Our AI seamlessly integrates with user-defined policies to autonomously analyze data flows, detect anomalies, and generate incidents. The LLM complements this process by generating natural language summaries, enabling security teams to quickly understand and respond to incidents efficiently.
Linea AI Overview
Linea AI is an autonomous agent built on our data lineage platform, designed to transform incident management workflows. By prioritizing, analyzing, and summarizing incidents, Linea AI ensures critical risks are promptly detected. While traditional incident management relies on user-defined policies to generate incidents, gaps in these policies often leave significant risks undetected. Linea AI bridges this gap by autonomously detecting anomalous data flows, even without predefined policies or datasets, delivering a proactive and adaptive layer of security.
Linea AI is an optional add-on feature and requires a separate license. Contact your Cyberhaven Sales Representative for licensing and purchase details.
Features
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Incident Detection and Alerts: Linea detects anomalies in the data flow based on historical events and creates incidents, even when no predefined policies or data classifications are in place. For example, it can flag risky user actions or data transfers that were not previously covered by existing policies, providing proactive protection.
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Incident Prioritization: Linea assesses incidents by evaluating the data flow and determining the severity level. For example, a user uploading their personal tax form to a personal email account is classified as low risk, while attaching sensitive documents like source code is identified as high risk. This prioritization surfaces the most critical incidents that require immediate investigation while deprioritizing low or informational risks.
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Analyzing and Summarizing Incidents: Linea provides a detailed summary of each incident, including its root cause. The summary contains key information such as the user action that triggered the incident, the location, the type of content (based on Linea's assessment of its security risk), and the destination of the data. This rich context accelerates the investigation process by giving analysts a clear understanding of the incident at a glance.
Benefits
- Proactively Mitigate Risks: Detect and address risks that would otherwise go unnoticed.
- Identify Critical Incidents: AI-driven risk assessment enables analysts to prioritize the most impactful incidents, enabling faster response.
- Reduce Incident Resolution Time: Summarized incidents provide clear root cause analysis, empowering teams to resolve issues more efficiently.