AI and machine learning to advance your grid’s security
Having actionable information is key to mitigating your grid’s security risk, but focusing on specific details might prevent seeing the larger contextual view that can reveal additional dimensions of overall system vulnerability.
Automating more of your daily processes for managing and addressing regulation and compliance requirements (such as NERC/CIP or the NIS directive) is becoming an urgent need.
Several factors are increasing the importance of assessing current processes and tools - growing attack surface with extending communications to more devices in distribution, IT/OT convergence, growing number of recent fines for security lapses, and more sophisticated longer developing advanced persistence threats.
In this webinar, Nokia discusses a comprehensive, yet cost-effective approach to mitigating the security risk to utility networks through proactive, predictive and automated security using Artificial intelligence and Machine learning capabilities.
Speakers:
Basheer Nasir Ahmed, Head of Cybersecurity Solution Business Development Nokia Networks, New Jersey USA
David Nelles, Senior Security Solutions Architect, Nokia
