When you consider the number of headlines that appear on a regular basis about major data breaches — despite ongoing increases in security technology spending by organizations — you have to come to the conclusion that something isn’t working.
The fact is, the traditional ways of protecting IT assets are no longer effective in today’s increasingly complex threat environment. Many vendors tout the idea that having a collection of disparate technologies will provide better protection because each technology will stop some threats.
But these products don’t scale and they provide ever-weakening protection. Even using several of these traditional products is not sufficient for identifying and stopping the latest malware attacks.
Part of the problem with deploying more and more security technologies is that it costs far more money in resources and infrastructure, including servers, bandwidth, appliances, etc.
Furthermore, many of these products negatively impact system and application performance, which can lead to decreased productivity among end-users and the organization as a whole.
Older security tools can cost organizations far more time and money than they ever realized. It’s time for a new approach to security that addresses all the shortcomings of the old methods.
Organizations today can deploy security solutions that are based on newer artificial intelligence and machine learning capabilities. These advanced methods are designed to stop the latest attacks without hurting performance and driving up costs.
Our new whitepaper describes some of the main disadvantages of traditional endpoint security methods and explores how organizations of all sizes and in any industry can take advantage of advances in security technologies to protect their systems and data against threats in the most cost-effective way possible.
This article was originally published here.