
Fraud Detection
remains one of the most pressing issues for organizations, with insider fraud costing businesses millions annually. InnerActiv’s fraud detection capabilities use AI-driven analysis and behavioral monitoring to proactively identify fraudulent activities before they escalate.Real-time anomaly detection for user behaviors.

Endpoint-level monitoring for unauthorized activities.

Customizable alerts to flag potential fraud cases.

How InnerActiv Helps
InnerActiv monitors user activity across all devices and endpoints, identifying patterns that signal potential fraud. By analyzing login times, file access, and unusual transactions, the platform provides clear insights and enables immediate action to prevent fraud.


83% of organizations reported at least one insider attack in the last year - Cybersecurity Insiders 2024 Insider Threat Report
- Cybersecurity Insiders 2024 Insider Threat Report
Internal threat actors were responsible for 35% of data breaches in 2024, up from 20% in 2023 - 2024
- Binghamton University 2024
Employees are 69% more likely to take data right before they resign
- Bloomberg 2023








