Anvilogic is a detection engineering platform that streamlines the creation, deployment, and optimization of security detections across hybrid Security Information and Event Management (SIEM systems and data lakes. By employing a modular detection-as-code approach and integrating AI agents, Anvilogic enhances the efficiency and effectiveness of Security Operations Centers (SOCs.
Key Features and Functionality:
- Custom Detection Builder: Enables the development of tailored detections for both SIEMs and data lakes.
- Threat Detection Library: Provides access to thousands of curated rules and scenarios to address various threat vectors.
- Detection Coverage Maturity: Offers tools to track MITRE ATT&CK framework coverage and assess data feed quality.
- Automated Detection Tuning: Utilizes machine learning recommendations to fine-tune detection rules, reducing false positives.
- Correlated Threat Scenarios: Facilitates the building and deployment of sophisticated threat correlations for comprehensive analysis.
- Threat Prioritization: Employs threat modeling techniques to prioritize defense strategies effectively.
- Multi-Cloud Threat Detection: Offers out-of-the-box coverage for cloud-native threats across various platforms.
Primary Value and Problem Solved:
Anvilogic addresses the challenges faced by SOCs in managing slow, manual, and fragmented detection engineering processes. By unifying and optimizing detection workflows, it reduces reliance on costly SIEM data storage, unlocks previously inaccessible data, and enhances the overall security posture of organizations. This leads to significant cost savings, improved detection accuracy, and a more agile response to emerging threats.