In this episode of Unsupervised Learning, Daniel interviews Harry, the co-founder of Maze, about using AI in vulnerability management. Harry explains how Maze uses AI agents to analyze vulnerabilities deeply and automatically, helping organizations reduce their vulnerability backlogs. The conversation explores the challenges of vulnerability prioritization and remediation, emphasizing the importance of understanding the exploitability of vulnerabilities in the context of an organization's environment. They discuss the potential of AI agents to automate various aspects of vulnerability management, from identifying vulnerabilities to generating remediation actions. They also delve into the broader implications of AI in cybersecurity, including how attackers could leverage AI to enhance their tactics, such as spear phishing.
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