Taken from the AI + a16z podcast, 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.
Taken from the AI + a16z podcast, 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:
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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