Veriato monitors and analyzes user activity at the endpoint, including:
Veriato records everything that occurs on a monitored computer or mobile device screen by taking screenshots, with a range of configuration options and proprietary compression capabilities to minimize storage requirements.
Veriato can help organizations maximize productivity and regain visibility, by identifying unproductive activities and proactively looking for signs of negative sentiment, burnout, and quiet quitting.
Veriato analyzes user productivity by identifying productive activity, unproductive activity, neutral activity, and idle time. Dozens of activities are monitored and categorized and everything is fully customizable to fit your organization’s needs.
At a glance, you’ll see all individuals with elevated levels of risk. This daily Risk Scoring maximizes efficiency and productivity by allowing your security team to hunt threats proactively.
Cerebral’s AI-based behavior analysis continually tracks each user’s activity and language to create their daily risk score. The Risk Score dashboard shows high scores for each day, trends, recent alerts, and user details. It provides an immediate overview of high-risk, user behavior within your organization.
Veriato workforce behavior analytics uses machine learning to proactively identify high-risk activity, analyze employee sentiment and monitor data access to get ahead of an issue. No comprehensive cybersecurity posture is complete without an insider risk solution.
Where others look for evidence of data breaches, Veriato proactively monitors for signs of insider risk to help prevent data breaches in the first place. Veriato is always on, monitoring the behavior patterns of users and scanning for insider risk signals. The software learns what normal behavior looks like and adapts to changes in routine seamlessly.
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Continuously track each user and automatically identify unusual or risky activity with Veriato AI-based behavior analysis.
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Compile various risk factors and signals into a risk score for each user monitored and view them on a single dashboard.
Detect deviations from established patterns, identify signs of insider risk, and alert appropriate parties in real-time.
Get visibility into what normal looks like for each part of your organization with self-learning of behavioral patterns for individuals and groups, driven by advanced machine learning.
Get alerted immediately to any deviations from established patterns and activities across your teams by customizing appropriate thresholds and triggers.