AI, agents, and the trust gap

The post outlines Kasada’s perspective on governing AI agent traffic, arguing that tools like ChatGPT function in distinct modes (browser, scraper, agentic) with different risk profiles and should not be handled by one-size-fits-all policies. It emphasizes that cryptographic verification (e.g., Web Bot Auth) is necessary but insufficient without granular, context-aware authorization and permissions, warns that prompts/guardrails aren’t reliable security boundaries, and highlights industry-specific needs. With agentic commerce still nascent, the authors urge teams to build flexible controls and visibility now to capture benefits while limiting risk, and invite readers to a related webinar.