Our team will be pleased to help you address any need and answer any question!
“One coincidence is just a coincidence; two coincidences are a clue, three coincidences are a proof”
Sharelock’s ML models fall into two distinct categories: Anomaly detection and Identity attribute enrichment.
The ‘Anomaly detection’ models aim to detect and score (with a probability index) behavioral anomalies.
The ‘Identity enrichment” models aim to address the original sin of many business application log files, where too frequently account details and other identity-related attributes are missing.
Sharelock is a “born-for-the-cloud” platform, solely designed using orchestrated Kubernetes containers and leveraging highly scalable open-source technologies.
For Activity Log collection, Sharelock utilizes GrayLog, the leading open-source log collection engine. Graylog integrates natively with a broad set of business applications and supports multiple log collection mechanisms for ad-hoc integrations.
Our team will be pleased to help you address any need and answer any question!