IFAC TAG Webinar on Cyber Security

Machine Learning in cybersecurity webinar presented by Sanja Nedic. THIS WEBINAR COVERED. Core concepts behind machine learning and main types of problems it can solve. Examples of real-world uses of machine learning in security to augment or replace rule-based or heuristic solutions to problems such as spam detection, intrusion detection, malware analysis, vulnerability prioritization, etc. Challenges of building reliable machine learning systems in security space.

Today’s IT environments must be able to balance strong security principles while ensuring operational efficiencies. Learn how CyberArk fits into a Zero Trust architecture and allows for significant risk reduction and security for both human and non-person entities (RPA, DevSecOps, etc). Leverage privilege identities remotely in a secure, VPN-less, user friendly workflow to ensure security no matter where access is needed from.

Organizations in today’s market must strike a balance between competitive differentiation and meeting evolving compliance standards-particularly related to software security. They need to obtain faster release and deployment cycles, improved collaboration between business stakeholders and application development and operations teams, and automation tools. DevOps, an innovative organizational and cultural way of organizing development and IT operations work, is addressing this challenge – driven by mounting evidence of its benefits to the business. However reaping these gains requires rethinking application security to deliver more secure code at DevOps speed.

Are you assessing which cybersecurity vendor to use for your business, or even consolidating to just one? There are some key characteristics and business strategies you’ll want to consider. We’ve turned to global business leaders to share their experience vetting cybersecurity vendors and even trends in the security industry that influenced their choice.