Advanced AI & ML To Secure Your Mobile Workforce

The drastic increase in the number of devices has spawned a rise in mobile malware and cyberattacks as more and more organisations are adapting to a hybrid workforce. 63% if greyware apps leak the devices phone numbers and nearly 1 of 5 business and industry apps leaks personally identifiable information (PII). As businesses continue to allow for more mobile devices to be connected to their IT network, adversaries have been quick to exploit this expanding attack surface, as old school security approaches or systems to manage these endpoints can no longer keep up. Traditional enterprise mobility management (EMM) solutions in place often lack prevention, visualisation, and management capabilities needed to efficiently incorporate mobile devices into the overall security architecture. Standalone products, for example, often furnish only a mobile-centric view of threat activity. Security executives need to go beyond traditional EMM solutions and embrace a rapidly emerging class of mobile security capabilities known as mobile threat defense (MTD), to protect vulnerable endpoints and ultimately preventing security incidents within their organisation. Join Adam Sloan – Principal Sales Engineer, APAC live to learn: - How you can leverage Artificial Intelligence and Machine Learning to optimise your mobile threat defense strategy. - How to monitor mobile threats across layers to prevent malware infections and minimise SecOps overheads. - How to implement endpoint management and protections across endpoints, people and data to prevent mobile security breaches and data loss.