b'OT vulnerability trend analysis examines patterns and developments in the security weaknesses of OT systems. Analysts use this data to track recurring vulnerabilities, emerging attack vectors and shifts in exploit tactics. By studying these trends, organizations can anticipate potential risks, prioritize security measures and strengthen defenses against dynamic and sophisticated cyber threats and attacks.Artificial intelligence and machine learning integration is used to enhance cybersecurity vulnerability assessments across hardware, software, and OT networks by streamliningR E L A T E D I N L T O O Land strengthening detection, analysis, and mitigation processes. AI and ML enables automating repetitive tasks and adapting to evolving cyber threats, empowering organizations to secure complex ecosystems with greaterOpDefender is an INL-engineered precision and efficiency. OpDefender technology that can protect utilities and other users of computer-controlled industrial systems from cyberattacks.For more info, contact:
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