Edward Wu, Founder and CEO of Dropzone AI, shares his expertise on leveraging AI in cyber defense. He discusses how AI can enhance human security teams, illustrated through a case study of a tech startup with fewer engineers. Wu introduces 'agentic AI,' capable of autonomous complex task performance, emphasizing its adaptability to meet organizational needs. The conversation also tackles ethical concerns in AI, particularly around data usage, urging responsible practices to safeguard privacy while boosting productivity in cybersecurity.
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Gartner Recognition
Dropzone AI was recognized by Gartner as a "cool vendor" in October of the previous year.
This recognition validates their progress in AI-powered cybersecurity.
insights INSIGHT
Augmenting Security Teams
Dropzone AI augments security teams, allowing them to function with increased analytical capacity.
This helps organizations achieve better security without significantly increasing headcount or budget.
insights INSIGHT
Coachability in AI
Agentic AI, like human workers, needs coachability to adapt to an organization's specific needs.
This allows AI to replicate team preferences and processes, increasing its effectiveness.
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In this podcast conversation, Steven and Edward explore the potential of AI in cyber defense, emphasizing its role in augmenting human security teams. Edward highlights a case study where AI enables a tech startup to function as if it has more engineers on staff. They delve into the concept of 'agentic AI' and its application in coaching AI systems, with Edward noting Dropzone AI's recognition as a 'cool vendor' by Gartner in October of the previous year—an important milestone for the company.
Edward explains that agentic AI refers to systems capable of autonomously performing complex tasks without incremental instructions from users. He underscores the importance of coachability in AI, comparing these systems to digital workers who must adapt to an organization’s specific needs. Steven adds that the value of a team member grows exponentially as they learn the operational nuances of the organization. Edward points out the trend of utilizing agentic AI to enhance productivity by offloading tedious tasks, such as tier-one analytical work.
The duo also discusses the ethical training of large language models, addressing the challenges related to using unlicensed and private customer data. Edward raises concerns about the risks involved and advocates for responsible data handling, urging vendors to keep a clear distinction between private information and data used for system improvement. Steven expresses worry about the potential for agentic AI systems to learn from humans who may not fully grasp ethical standards. In response, Edward emphasizes the significance of case studies from fields like medicine.
Finally, they discuss the growing adoption of AI in cybersecurity, with Edward noting that the technology has matured significantly in the past year. He highlights the potential for attackers to exploit large language models as well. Sharing his vision for the future, Edward aspires to create the most capable and trustworthy AI security analyst, which would empower organizations of all sizes to investigate security alerts promptly, making it harder for attackers to succeed. Steven conveys enthusiasm about the prospect of using digital workers as a force multiplier for startups and small businesses.
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