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The machine learning deployment, integration, and release pipeline is unique and unlike any typical software, application or detection life cycle. A SOC has a blend of infrastructure, team dynamics, disparate logs and data sets, a SEIM, ticketing systems and a need for analytics to better serve and improve their defenses, cyber security posture and incident response. Proper implementation of using machine learning for cyber security defenses can be done with both team and engineering integrations. This talk will walk through an example of machine learning implementation for the SOC in an enterprise environment with lessons learned and best practices.
Language: English • Duration: 18:21 • Resolution: 1280x720
Redefining Access Governance: A broader perspective
Ping Identity’s PingFederate
Cisco Zero Trust Security
OT Discovery & Monitoring
Blockchain & Distributed Ledgers
Privacy Enhancement Technology
Real Time Security Monitoring & Intelligence
Privileged Access Management
Privacy and Consent Management
AI/ML in Cybersecurity