Using User-Centric Machine Learning to Contain the Insider Threat
Despite increasing investment in cyber security tools for the data center, we continue to see a rise in data breaches and their related costs, specifically those relating to the insider threat: accidental loss, misdirected content and the malicious insider. These types of incidents contribute up to 80% of all breached records and are often the result of the human mistake and human error factor in handling sensitive data that traditional tools are unable to address - until now.
The session explores:
- The dependency on the end user to manage unstructured data securely;
- Why that dependency is becoming greater over time;
- How to think about a user-centric approach to security and give users tools to protect their data and themselves.