Modernizing Endpoint Security

The security of client machines remain under constant risk of unauthorized access.

In today’s world, cybersecurity protections are top of mind. Compromised security credentials can result in system breaches, loss of data and risk exposure of client information. All too often, these result in major disruption of business activities and can be devastating, if not unrecoverable, in some instances. The bottom line is the security of client machines remain under constant risk of unauthorized access.

Traditional Endpoint Detection

Traditional endpoint security solutions (or antivirus) installed on computers serve primarily to identify known threat signatures. A threat signature is a typical footprint or pattern associated with a malicious attack on a computer network or system that has been previously identified. Pattern matching these identifiers is thustly referred to as “signature detection”. When there is no known threat signature, traditional antivirus solutions are often unable to correctly identify and isolate potential threats. This can result in unauthorized access. Although signature-based protection still plays an important role in the layered security approach, it can no longer be considered an adequate protective measure on its own. Enter Artificial Intelligence or “AI” for short.

The Role of AI

AI brings forth advancements in traditional endpoint detection in an effort to modernize security. This includes continuous monitoring, automated threat classification, and risk-based application controls. These advanced scanning capabilities amplify the IT teams capability to identify potential threats before it can result in damage or breach. They offer advanced isolation and roll-back capabilities that can dramatically accelerate recovery. In short, AI can minimize the impact and accelerate the recovery.

Stay safe… stay secure!

Written by John Cameron

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