Binaryflux is a federated, AI-driven security automation platform that integrates with existing data lakes and SIEM systems to provide real-time monitoring, detection, and response to advanced cyber threats. By leveraging patented AI technology, it reduces incident response times and operational costs while enhancing the cybersecurity posture of organizations through actionable intelligence and streamlined workflows.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations face challenges in effectively monitoring, detecting, and responding to advanced cyber threats in real-time, often struggling with data silos and the complexity of integrating various security tools. Traditional Security Information and Event Management (SIEM) systems can be cumbersome and costly to manage, requiring significant manual effort and expertise.
Solution
Binaryflux offers a federated, AI-driven security automation platform that integrates with existing data lakes and SIEM systems to provide real-time monitoring, detection, and response to application-focused cyber threats. The platform leverages patented AI technology, including a GNN-based AI engine called Doppler, to analyze application events, correlate entities, and learn contextual behaviors. By transforming complex detection data into actionable intelligence, Binaryflux reduces false positives, streamlines workflows, and enhances an organization's overall cybersecurity posture. The platform's Streams technology enables real-time processing of billions of events with minimal configuration, reducing operational costs and vendor dependency.
Target Audience
The primary target audience includes security analysts, data engineers, and security operations center (SOC) teams seeking to enhance their threat detection and response capabilities, reduce operational costs, and improve their overall cybersecurity posture.
Features
- Federated architecture that integrates with existing data lakes like Snowflake and Splunk, as well as business applications like Okta, SAP, GitHub, Zoom, and Office 365
- App Streams for advanced detection, response, and reporting capabilities with single-click deployment
- Doppler, a GNN-based AI engine for real-time threat detection, correlation, and response
- Generative AI for Streams, providing an intuitive summary of detection data, key entities, and actionable recommendations
- Kill Chain Analysis dashboard to understand and respond to the overall threat landscape using the MITRE ATT&CK framework
- SOC Control Center for real-time monitoring, detection, and management of security incidents
- Flexible deployment options across SaaS, PaaS, or on-premises environments
- Streams-as-code, providing data engineers with complete control over content and customization of detections and responses