Newly discovered vulnerabilities in industrial control systems (ICS) are targeted more than ever. In fact, the number of ICS-CERT advisories increased by 56.2% from 2020 to 2021 according to the TXOne Networks 2021 Cybersecurity Report. Many of these systems include legacy devices that were designed before cybersecurity became a serious concern, leaving them highly susceptible to emerging threats.
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"A single vulnerability is all an attacker needs"~ A cybersecurity saying that fits with the facts even till date. Security incidents frequently make the headlines, and it is always a surprise when the walls of highly protected infrastructures are breached. More often than not, when security attacks happen on organizations, investigative reports only reveal the less intrusive details, and avoid disclosing confidential information that may impact IT security.
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Nopsec
Machine Learning in cybersecurity webinar presented by Sanja Nedic. THIS WEBINAR COVERED. Core concepts behind machine learning and main types of problems it can solve. Examples of real-world uses of machine learning in security to augment or replace rule-based or heuristic solutions to problems such as spam detection, intrusion detection, malware analysis, vulnerability prioritization, etc. Challenges of building reliable machine learning systems in security space.
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Simplilearn
What is threat hunting and why is this field gaining popularity among security organizations? Threat hunting emphasizes on a proactive approach to security and encourages organizations to anticipate and manage potential security breaches and hacks. Join Dr. James Stanger, Sr Director of Products at CompTIA, in a live webinar as he walks us through the critical areas of threat hunting and how this can enhance current cyber security measures for organizations.
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