Sharelock disrupts the business of detecting Identity-centric anomalies based on AI-driven behavioral analysis.
Our platform collects Data from any source (e.g. application log file, sensors), learns and defines a behavioral baseline for each user, and, the ultimate goal, detects behavioral anomalies.
Sharelock operates using its own patented machine learning algorithms, clearly proving our thought leadership in this space.
Sharelock provides its insights within two distinct domains:
- Insider Threat and Fraud Detection use-cases, such as data exfiltration, and lateral movements, leveraging our Indicators of Behavior (IoB) algorithms.
- Access compliance anomalies, aiming to provide recommendations to reduce the compliance gap between a ‘should be’ state described in IGA platforms vs. the ‘as is‘ one, based on actual user behaviors.