AI-Driven Threat and Incident Prevention, Detection, and Response
This resource is published by BlackBerry
Traditional cybersecurity, for lack of a better word, is dead. The proliferation of mobile technology and IoT devices that share data and connect to multiple networks creates an exponentially expanding attack surface.
Guarding against known threats is important, but in the modern threat landscape, organizations must also address the over 350,000 new variants of malware created every day.
Many cybersecurity companies attempt to stop evolving threats by building new layers of security on top of existing solutions. This approach often creates additional noise within the security stack, making it harder for analysts to quickly identify and respond to threats. BlackBerry avoids the weaknesses of traditional AV by using highly trained artificial intelligence (AI) to detect threats.
Storage, Software, Applications, SaaS, Network, Malware, Endpoint Security, Security Solutions, Security Management, SaaS, ERP, Storage, Embedded Systems, Email, Storage, Data Storage, Storage Devices, Cloud, Machine Learning, Connectivity