If your workday looks anything like mine, the fun doesn’t stop when you leave the office at five o’clock. In fact, most U.S. employees now get their jobs done from outside the office. But this means new challenges for your endpoint security.
Today, more organizations than ever are finding it difficult to balance asset management with satisfying, uninterrupted user experiences. After all, it’s impossible to eliminate real-time endpoint security risks when employees are connecting with networks and systems halfway around the world.
Malware, data exposure, and malicious mobile apps are all growing issues that education and training can only address to a degree. To effectively solve these endpoint security concerns, enterprises are turning to something else entirely: Artificial Intelligence (AI) and machine learning.
The Next Generation of Endpoint Security
Hackers have been using AI for years to accelerate attacks and perform breaches in mere minutes – it’s about time we started using technology for good instead of evil. While these bad actors have carried out carefully orchestrated intrusions using a combination of AI, machine learning, bots, and social engineering, it’s only recently that organizations have started fighting fire with fire.
Modern endpoint security platforms are finally making it possible to adapt to today’s most serious threats by providing the flexibility and identification capabilities enterprises have sorely lacked. Here’s how.
Accurate Risk Scoring
Machine learning enables an entirely new generation of behavior analysis, geolocation, and tracking important variables to secure an organization’s most vulnerable access points. Unlike traditional rules or predictive analysis techniques, these technologies allow finetuning to happen in fractions of a second – meaning anomalies and unusual behavior will never go unspotted again.
Zero Trust & Mobility
When mobile devices entered the enterprise equation, they brought new challenges and endpoint security difficulties with them. After all, it’s easier for a cybercriminal to steal a phone and gain access to the data they need than penetrate an organization’s entire system. A zero-trust platform, on the other hand, hardens these devices by denying unrestricted access and bridging gaps traditional IT can’t.
In addition to becoming the primary identification method for detecting malware, AI and machine learning are helping organizations determine which software applications can be trusted. But this technology delivers proactive solutions, too – if bad behavior is detected, these innovations have the ability to containerize apps and isolate them from production environments and the backend systems that drive mission-critical initiatives.
AI and machine learning’s endpoint security benefits don’t stop there. If you want to implement these technologies and experience the advantages for yourself, take advantage of AOTMP® University’s Mobile Security Management Course today!