\ken-tin-yu-ems\ (n.) :
To go through a gradual transition from one condition, to a different condition, without any abrupt changes.

August 1, 2022

The Next Generation of Threat Detection Will Require Both Human and Machine Expertise

To be truly effective, threat detection and response need to combine the strengths of people and technology.

There is a debate in the world of cybersecurity about whether to use human or machine expertise. However, this is a false dichotomy: Truly effective threat detection and response need both kinds of expertise working in tandem.

It will be years before machines completely replace the humans who perform typical detection and response tasks. What we predict for the meantime is a symbiotic relationship between humans and machines. The combination means that detection of and response to threats can be faster and more intelligent. It leaves humans to focus on what humans do best, while artificial intelligence (AI) shines at tasks better suited for machine processing. Threat detection is very much an adversarial problem. Attacks rely on stealth, which often makes detection difficult, especially among billions of data points. Technologies we've relied on for the past 20 years are not sufficient to combat threats or sift through the "noise" to find the "signal." Yet skilled humans can find threats that rule-based systems cannot identify.

Ask a Continuums Representative about reviewing the interoperability of people and technology in your cybersecurity posture, strategies and culture. Invest in protecting and securing your virtual enterprise in 2022 while preparing for 2023.

For a link to this Dark Reading Article, Click To Review

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