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How AI is helping cut the risks of breaches with patch management
AI/ML-driven patch management delivers real-time risk assessments, guiding IT and security teams to prioritize critical patches first.
During a recent interview with VentureBeat, Srinivas Mukkamala, chief product officer at Ivanti, said that “being aware of potential threats posed by vulnerabilities, including those currently being exploited in cyberattacks, aids organizations in taking a proactive rather than reactive approach to patch management.” VentureBeat recently had the opportunity to sit down (virtually) with Chase Cunningham, a renowned cybersecurity expert who currently serves as vice president of security market research at G2 and is often referred to as Dr. By leveraging machine learning algorithms, Microsoft has been able to predict which vulnerabilities are most likely to be exploited within 30 days of their disclosure, allowing them to prioritize patches accordingly.” He added, “This approach has significantly reduced the risk of successful cyberattacks on their systems.”
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