SecGenie AI
SecGenie AI provides a unified cyber defense platform that ingests signals from across the security stack—including SIEM, EDR, XDR, cloud platforms, and identity layers—and maps them into a unified model. The platform combines three engines—Exposure Intelligence, AI SOC Automation, and Attack Graph—to help security teams prioritize real exposures, understand attack paths, and automate triage and response workflows.
- Cybersecurity
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Modern security teams are overwhelmed by alert noise, disconnected tools, hidden attack paths, and manual response workflows. Real threats are often lost behind false positives, siloed telemetry, and slow investigation cycles, leaving security operations reactive and allowing exposure to grow faster than teams can manage.
Solution
SecGenie AI delivers a unified cyber defense platform that ingests signals from across the security stack—including SIEM, EDR, XDR, cloud platforms, identity layers, vulnerability scanners, threat intelligence feeds, ticketing systems, messaging tools, and DevSecOps environments—and maps them into a unified model. The platform analyzes relationships across alerts and exposures, then activates AI-driven workflows for triage, prioritization, investigation, and response. It combines three engines—Exposure Intelligence, AI SOC Automation, and Attack Graph—to help security teams prioritize real exposures, understand attack paths, detect and respond faster, and reduce operational overhead. Instead of forcing teams to work across isolated systems, SecGenie AI turns fragmented security data into coordinated operational action.
Target Audience
Primary customers are enterprise security teams and managed security service providers (MSSPs) who need a coordinated, scalable approach to threat detection, exposure management, and security operations.
Features
- Three integrated engines: Exposure Intelligence Engine for attack surface discovery, AI SOC Automation Engine for triage and response, and Attack Graph Engine for mapping attack paths
- End-to-end workflow automation covering triage, prioritization, investigation, and response
- Integrations with SIEM, EDR, XDR, cloud platforms, identity layers, vulnerability scanners, threat intelligence feeds, ticketing systems, messaging tools, and DevSecOps environments
- Unified data model that correlates alerts and exposures across the security stack
- AI-driven analysis to reduce alert fatigue and improve detection accuracy