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cover of episode Enabling Agents and Battling Bots on an AI-Centric Web

Enabling Agents and Battling Bots on an AI-Centric Web

2025/6/13
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AI + a16z

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David Mytton: 我认为现在的主要挑战在于区分良性和恶意的机器人流量,尤其是在人工智能代理日益普及的情况下。过去那种一刀切的封锁策略已经不再适用,因为很多AI代理实际上是在代表用户执行任务,例如预订、注册或购买商品。我们需要更精细的控制,理解这些AI代理的目的、行为和来源,才能制定出合适的规则。如果仅仅因为它们是AI就进行封锁,可能会错失很多潜在的业务机会。 Joel de la Garza: 我也认为传统的安全方法已经无法满足当前的需求。过去那种基于IP地址或用户代理的简单封锁,会误伤很多正常的AI代理流量,导致业务损失。现在我们需要更深入的应用层面的上下文信息,例如用户是谁、会话状态以及访问的页面等,才能做出更明智的决策。同时,随着AI技术的快速发展,推理成本也在不断降低,这为我们提供了在边缘设备上进行实时分析的可能性,从而更好地识别和管理各种类型的机器人流量。

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Arcjet) CEO David Mytton sits down with a16z partner Joel de la Garza to discuss the increasing complexity of managing who can access websites, and other web apps, and what they can do there. A primary challenge is determining whether automated traffic is coming from bad actors and troublesome bots, or perhaps AI agents trying to buy a product on behalf of a real customer.Joel and David dive into the challenge of analyzing every request without adding latency, and how faster inference at the edge opens up new possibilities for fraud prevention, content filtering, and even ad tech.Topics include:

  • Why traditional threat analysis won’t work for the AI-powered web
  • The need for full-context security checks
  • How to perform sub-second, cost-effective inference
  • The wide range of potential actors and actions behind any given visit

As David puts it, lower inference costs are key to letting apps act on the full context window — everything you know about the user, the session, and your application.

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David Mytton)

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