Insider Threat

Use Modern AI for to detect insider threats

Detect harmful behavior in the workplace. Alert admins automatically with the context necessary to take swift action and mitigate internal damage.

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What are insider threats?

Using AI to detect insider threats involves analyzing user behavior patterns and identifying anomalies that could indicate suspicious activity, such as accessing data outside of an employee's normal job duties or attempting to steal sensitive information, in order to enhance enterprise security and prevent data breaches.

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What are the benefits of using Modern AI to detect insider threats?

The benefits of using modern AI to detect insider threats include:

1. Improved security: quickly detect anomalies and unusual behavior patterns, enabling security teams to proactively respond to potential threats before they cause harm.
2. Reduced false positives: analyze vast amounts of data and identify patterns that humans might miss, reducing the number of false positives and allowing security teams to focus on the most critical alerts.
3. Increased efficiency: automate the process of monitoring user behavior, freeing up security teams to focus on more complex security tasks.
4. Cost savings: By reducing the risk of insider threats and data breaches, you can avoid costly financial and reputational damage.

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Who can benefit?

Any company that values the security of their data can benefit from using modern AI to detect insider threats.

• Finance: monitor employees' financial transactions and detect any unusual activity that might indicate fraudulent behavior.
• Healthcare: analyze electronic health records and identify patterns of behavior that could indicate insider threats such as unauthorized access to patient data.
• Government: monitor network activity and identify any unauthorized access or attempts to extract classified information.
• Technology: analyze user behavior on software platforms to detect unusual patterns of activity or data access that could indicate a potential insider threat.