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- Platform
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- Core Components
Converged single pass processing, purpose built global cloud service, and open data platform.
- Design Principles
360-degree visibility and control, autonomous life cycle and posture management, gradual low risk deployment, and universal management.
- AI and Machine Learning
AI/ML for threat intelligence and unclassified application identification, ML engines for threat prevention and incident criticality, ML models for device classification, and GenAI for productivity.
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Tomer Agayev
Tomer Agayev is a Threat Researcher at Cato Networks. Member of Cato Ctrl. With a decade of experience in the field of cybersecurity, Tomer is an expert in malware analysis, advanced threat research, and incident response. His track record includes conducting in-depth security investigations and making significant contributions to discovering new malware strains in the wild. Prior to joining Cato Networks, Tomer led the Threat Research team at Trusteer, IBM, that mainly focused on advanced threat research, threat hunting, and incident response.
The Evolution of Qakbot: How Cato Networks Adapts to the Latest Threats
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