The Cyber Defense eMagazine November Edition for 2023
Cyber Defense eMagazine November Edition for 2023 #CDM #CYBERDEFENSEMAG @CyberDefenseMag by @Miliefsky a world-renowned cyber security expert and the Publisher of Cyber Defense Magazine as part of the Cyber Defense Media Group as well as Yan Ross, Editor-in-Chief and many more writers, partners and supporters who make this an awesome publication! 196 page November Edition fully packed with some of our best content. Thank you all and to our readers! OSINT ROCKS! #CDM #CDMG #OSINT #CYBERSECURITY #INFOSEC #BEST #PRACTICES #TIPS #TECHNIQUES
Cyber Defense eMagazine November Edition for 2023 #CDM #CYBERDEFENSEMAG @CyberDefenseMag by @Miliefsky a world-renowned cyber security expert and the Publisher of Cyber Defense Magazine as part of the Cyber Defense Media Group as well as Yan Ross, Editor-in-Chief and many more writers, partners and supporters who make this an awesome publication! 196 page November Edition fully packed with some of our best content. Thank you all and to our readers! OSINT ROCKS! #CDM #CDMG #OSINT #CYBERSECURITY #INFOSEC #BEST #PRACTICES #TIPS #TECHNIQUES
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Don’t Wait to Infuse Threat Intelligence with AI & ML<br />
Everything covered above still requires some degree of human interference. That’s changing. Humans<br />
are fallible, perhaps more than we’d like to admit. Even with automation, we have a tendency to overlook,<br />
miss, or even ignore things. This is true in the cyber security function, but there’s been a realization: the<br />
stakes are too high.<br />
Artificial intelligence and machine learning are already being used today to enhance threat detection,<br />
response, and overall cybersecurity ef<strong>for</strong>ts. With the ability to analyze large volumes of network and<br />
system data, AI and ML are being leveraged to establish baselines <strong>for</strong> normal user behavior, making it<br />
easier to pinpoint the anomalies when they occur. By recognizing attack patterns, AI and ML are enabling<br />
organizations to improve the accuracy of their intrusion detection systems and prevent threats from<br />
advancing.<br />
As these technologies become more sophisticated through deep learning, neural networks, and other<br />
techniques, more and more tactics and approaches to threat intelligence, hunting, and prevention will<br />
emerge. Today, by leveraging these emerging technologies to unleash predictive and adaptive threat<br />
capabilities, companies can finally gain the upper hand against cybercriminals and establish effective<br />
threat intelligence programs. One question remains: will they commit to doing it?<br />
About the Author<br />
Denny LeCompete is the CEO of Portnox. He is responsible <strong>for</strong><br />
overseeing the day-to-day operations and strategic direction of the<br />
company. Denny brings over 20 years of experience in IT<br />
infrastructure and cyber security. Prior to joining Portnox, Denny<br />
held executive leadership roles at leading IT management and<br />
security firms, including SolarWinds and AlienVault. Denny holds<br />
a Ph.D. in cognitive psychology from Rice University.<br />
Denny can be reached online at denny@portnox.com and at our<br />
company website https://www.portnox.com/.<br />
<strong>Cyber</strong> <strong>Defense</strong> <strong>eMagazine</strong> – <strong>November</strong> <strong>2023</strong> <strong>Edition</strong> 128<br />
Copyright © <strong>2023</strong>, <strong>Cyber</strong> <strong>Defense</strong> Magazine. All rights reserved worldwide.
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