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Sharelock ends identity attacks through real-time anomaly detection for autonomous behavioral analysis protections.
Sharelock helps organizations find known, unknown, and hidden threats using multi-dimensional behavior baselines, dynamic peer group analysis, and unsupervised machine learning to detect compromised or misused accounts leading to data exfiltration or IP theft.
Sharelock uses the power of machine learning and AI to baseline behavioral patterns and uncover identity threats with no false positives.
Detect unknown threats and anomalous behavior of your company workforce. Gain more contextual and behavioral information for threat hunting, investigation, and response using behavioral analytics.
Sharelock self-learning AI understands your organization's version of normal is the key to detecting everything that's not. It distinguishes between malicious and benign behavior, identifying attacks that typically go unnoticed.
Sharelock baselines normal activity for all users and entities, correlates anomalies, sorting all notable events visually and chronologically within an automated timeline. The timeline conveys the complete pattern of life of users and shows the history of an incident, saving an analyst from writing hundreds of queries.
Sharelock accelerates response, continuously conducting investigations behind the scenes and operating at a speed and scale beyond human capabilities.
Sharelock automates the manual, time-consuming steps of performing detection, triage, and investigation while guiding the analyst through response. Users' activities are investigated and analyzed against the entire digital enterprise for better context and situational awareness. Outcomes feedback into the system autonomously to instantly determine the appropriate response to threats.
Actions and response playbooks are integrated with leading security and IT products to help customers accelerate their automation journey.