Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Despite the wealth of information LLMs draw on, they are not reliably grounded in the physical world. Spatial knowledge is rarely written into agentic development and remains invisible to LLMs. This episode’s guests, Niantic Spatial’s CEO Inhi Cho Suh and Director of Product Management Eugene Chong, are building a grounding layer to fill that gap. Inhi and Eugene join 1Password CTO Nancy Wang and Google Gemini’s Dev Tagare to discuss why spatial understanding is a prerequisite for AI systems operating in the physical world and the grounding layer for world models to make spatial data precise and useful to AI.

AI coding assistants are changing how software gets built. Traditional AppSec tools focus heavily on scanning the final code artifact, but as AI agents move from simple code dependencies to autonomous decision-makers and execution paths, traditional security controls enter the process too late.

An AI agent can summarize, classify, and move customer data in seconds. An activity log can tell you what happened, but not why a person set it in motion. Teramind AI Usage Control connects the human action to the AI tool, the data involved, and the behavior that follows, across devices, apps, and workflows. With Teramind, security and IT teams can.

Jose Dores of Cloudflare explains how programmable SASE gives organizations the fastest path to adopting AI safely, with security built for what comes next.

Michael Gustafsson of Cloudflare shows how to ship AI agents on Cloudflare that are secure by default, so teams can build and deploy agents with confidence.