According to the McKinsey report “Insider Threat: The Human Element of CyberRisk”, Insider Attacks account for 50% of cyber-attacks. 56% of Cyber-Security professionals indicated that “Insider Threats are the biggest security issue today”. The average total annual cost of containment/remediation for all types of insider threats is $8.7M.
From a technological standpoint, common FinCrime and other insider crimes solutions struggle to analyze the staggering volume of data that flows through the system, resulting in a high ratio of false positives.
During this webinar, we will explore the problem of Insider Threats and present a simple, AI-based solution that takes a preemptive approach rather than a defensive one. This approach uses internal and external data to detect internal “red flags”, preventing heavy losses and reducing false positives.
- The problem with Insider Threats and the harm they cause
- Current market solutions review and why they are failing
- Using internal and external sources to predict Insider Threats months in advance
- Employee risk scoring and how it can reduce false positives