Vectra AI
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Vectra AI is a leading cybersecurity company specializing in AI-driven threat detection and response solutions tailored for hybrid and multi-cloud enterprises. Established in 2012 and based in San Jose, California, Vectra AI employs artificial intelligence and machine learning to identify and counteract sophisticated cyberattacks across diverse infrastructures including public cloud, SaaS, identity, and network systems. The company's premier product, the Vectra AI Platform, incorporates patented AI technology known as Attack Signal Intelligence. This technology scrutinizes attacker behaviors and automatically prioritizes threats in real-time, allowing security teams to swiftly address potential breaches.
The Vectra AI Platform is designed to provide comprehensive threat detection and response capabilities for hybrid cloud environments. It leverages AI-powered Attack Signal Intelligence to analyze, prioritize, investigate, and respond to cyber threats instantaneously across public cloud, SaaS, identity, network, and endpoint infrastructures. By integrating with existing security tools, the platform ensures extensive coverage and alleviates alert fatigue for security teams.
Highlights:
- Founded in 2012, headquartered in San Jose, California
- AI-driven threat detection and response for hybrid and multi-cloud enterprises
- Utilizes patented AI technology, Attack Signal Intelligence
- Provides real-time threat prioritization and response
- Integrates with existing security tools for comprehensive coverage
Key Features:
- AI-powered Attack Signal Intelligence
- Hybrid Cloud Coverage across public cloud, SaaS, identity, network, and endpoints
- Integrated XDR Signal for enhanced security
- Automated Response capabilities
- Over 90% coverage of MITRE ATT&CK techniques
Benefits:
- Advanced AI-driven threat detection
- Comprehensive coverage across hybrid environments
- Reduces alert fatigue and improves SOC efficiency
- Strong integration with existing security tools
- Automated and co-managed response capabilities
Use Cases:
- SOC Modernization by optimizing SIEM and replacing legacy IDS
- Cloud Security for hybrid and multi-cloud environments
- Critical Infrastructure Protection
- Financial Services Security
- Healthcare Cybersecurity