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Threat Vector by Palo Alto Networks
Fueling the Business with Cyber AI & Automation with Kieran Norton
Sep 12, 2024
Kieran Norton, a Principal at Deloitte & Touche and U.S. Cyber and AI Automation Leader, shares his expertise on the transition to AI-native Security Operations Centers. The conversation highlights how AI helps tackle alert fatigue and enhances threat detection, allowing analysts to focus on complex challenges. Norton discusses the integration of existing tools with AI for improved cybersecurity effectiveness and emphasizes the need for a balance between automation and human oversight. He also touches on the future trends in AI within the cybersecurity landscape.
52:51
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Quick takeaways
- The transition to AI-native Security Operations Centers significantly alleviates alert fatigue by automating routine tasks, enhancing overall security efficiency.
- Incorporating AI into security protocols allows for improved threat detection and response capabilities, offering deeper insights into malicious activity patterns.
Deep dives
Transitioning to AI-Native Security Operations Centers
An AI-native security operations center (SOC) transforms the traditional SOC model by leveraging AI technologies to manage data more efficiently. Traditional SOCs often struggle with alert fatigue due to the overwhelming volume of data generated from an expanded attack surface. In contrast, AI-native SOCs automate the handling of low-level tasks, allowing human analysts to focus on more complex problems that require creative solutions. This shift is likened to advances in aviation, where automated systems have taken over routine flying tasks, prompting security teams to similarly optimize operations through technology.
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