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. Our platform modernity allows us to leverage the same codebase for on-premise deployments as well as for the SaaS delivery modality. One codebase, one product effort.
Forget about Frankenstein clunky platforms built in a pre-cloud era, with monolithic technology stacks, and simplistic ML-models patched on-top at a later stage.
Sharelock utilizes GrayLog, the leading open-source log collection engine.
Graylog integrates natively with a broad set of business applications such as Microsoft Office 365, Google G-Suite, Slack, Jira, MS Teams, and Zoom.
Graylog supports multiple log collection mechanisms for ad-hoc integrations, allowing a very flexible adaptation to any integration scenario such as applications, network devices, sensors, etc.
Our team will be pleased to help you address any need and answer any question!