Sharelock enables an innovative bottom-up approach to Identity & Access Governance based on understanding user’s and machine’s behaviour rather than just relying on central IAM/ITSM policies.
Sharelock disrupts the business of Identity-centric anomaly detection based on its own patented machine learning algorithms.
Sharelock provides its Behavioral insights in three distinct domains:
- Insider Threat and Fraud prevention include data exfiltration attempts, compromised accounts, data breaches, shared and ghost credentials.
- Compliance recommendations: based on actual user behaviours, aim to close the gap between the ‘should be’ state – described in Identity Management platforms – vs the ‘as-is ‘.
- Machine Anomaly detection, detecting behavioural anomalies of any non-human related entity or attribute. This capability is targeted to Application Owners, providing behavioural anomaly detection monitoring for Compliance purposes.