All alerts are security relevant – Gain visibility across stored alerts from your security technologies and data platforms to better detect, hunt, triage, and respond to threats.
Painlessly search and query across hybrid, multi-cloud and security data lake workloads through API. Only pull in the alerts needed to harden your security.
Automate tagging, normalization, and enrichment of alerts from various applications and data platforms before storage for better correlation and triage capabilities through frameworks and data models.
Automated data feed analysis provides recommendations of data feed coverage, gaps, and improvements. Reduce unnecessary logs for cost savings.
Deploy detections across hybrid and multi-cloud based data platforms (e.g. Snowflake, Splunk, Azure, and more)
Normalize across your alerts with a unified query languages (SPL,SQL, KQL, etc.) and schemas to more quickly search, detect, hunt, and triage
Automate configurations for vendor alert integrations to easily centralize your detection engineering, hunting, and triage
Automated out-of-the-box alert enrichment based on threat intelligence-driven Tactics, Techniques, and Procedures (TTPs) - MITRE ATT&CK, Kill Chain, CIS Controls, and more
Easily convert your alert output into a standard schema by leveraging hundreds of macros provided to help with parsing and data normalization
Bring your own enrichment - Connect CMDB, threat intelligence, or other API sources to enrich your alerts prior to storage
Automate ingestion of security vendors alerts through API
Signal and alerts are normalized, tagged, and enriched before events are indexed and stored
Alerts collected from integrated security vendors (ex. Crowdstrike) are processed in the Anvilogic data pipeline
Kickstart your security operations
Anvilogic provided the necessary threat detection automation for our small SOC, adding a significant force-multiplier advantage for my team.