Time to use data collection, aggregation and analysis to detect, analyze and mitigate cyber threats. We deploy tools such as threat detection and security monitoring to identify and investigate security incidents or potential threats. Using Elasticsearch, a database that provides distributed, close to real-time search and analytics for different types of data and Crib, brings innovative and customizable controls to route security and machine data where it has value. We also use custom-built AI-driven solutions to detect threats early on.
Security Data Lake
We help you implement the latest Security Data Lake on Snowflake which a security-focused data management tool to ingest data from various security tools then parse the data for relevant information, identify and map fields to a common data schema.
What are the risks that an action or event entails? The answer lies in risk analytics, as applied to IT, projects, security issues and more. Done regularly, it helps minimize future risk probability and damage. Anticipate and reduce the effect of harmful results from adverse events.
Anomaly detection identifies rare events, items, or observations that are suspicious as they behave away from standard patterns. These could include unexpected jumps inactivity not detected by unsupervised techniques. Choose from semi-supervised or supervised anomaly detection.