SOC Director, Chris Cheyne, and Head of Content Management for the Security Operations Centre, Jay Ojo, discuss the use of Machine Learning (ML) and Artificial Intelligence (AI) within security analytics and aim to debunk some of the common misconceptions and myths surrounding what constitutes AI and ML. Through an analysis of the combination of human and machine intelligence, we learn what emerging technology can and can’t do, and how it can be utilised accurately within security operations to detect and defend against threats.
What You Will Learn
SOC Director and CTO, SecurityHQ
Chris Cheyne is the SOC Director and CTO for SecurityHQ. Responsible for operating six Security Operation Centres across the UK, Middle East and India, Chris specialises in threat hunting and intelligence, endpoint detection and response, SOC monitoring, behavioural analytics, EUBA, SIEM and more. With over 12 years of experience in security operations and management services, his objective is to place the power of his SOC team into his clients’ hands, and to provide complete visibility of security events and threats within their environments. Chris has been pivotal in delivering SOC detection and response services for household names across multiple sectors, including Finance, Insurance, Healthcare, Retail, Aviation and Education. With an industry-leading team of 200+ analysts behind him, he ensures that clients receive the highest degree of protection against today’s cyber threats.
Security Content Manager
As Security Content Manager, Jay is responsible for handling SecurityHQ’s Security Content & Use cases used to generate security alerts regarding suspicious and malicious activities within customer environments for further triage by the SOC.
There is a great deal of miscommunication regarding what AI and ML can actually do, what the differentiation is, and how to use it to benefit business processes.View Recording