Years back, a proactive prevention-based security posture was an aspiration. But in 2012 a group of security thought leaders and data scientists came together to launch Cylance, introducing a brand-new approach to endpoint defence that leverages artificial intelligence (AI) and machine learning (ML).
The endpoint security solution they built, now re-branded as BlackBerry Protect, was uniquely capable of preventing the execution of never-before-seen malware at the endpoint without reliance on signatures or a cloud connection.
Today, this prevention-first security approach is both proven and practical. Yet, perhaps out of inertia, some organizations still cling to a reactive approach to cybersecurity that has long since passed its expiry date.