Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

See how Cloudflare One helps you manage the security posture of GenAI tools like ChatGPT, Claude, and Gemini. This demo highlights: API integrations: Available for ChatGPT, Gemini, and Claude, and most popular SaaS apps 0:18 Posture findings: Scan for misconfigurations, unauthorized activity, and other security issues 0:50 Shadow AI discovery: Find what third-party AI apps access your SaaS tools 1:15.

See how Cloudflare One helps protect sensitive data when users interact with generative AI apps. This demo highlights secure access service edge (SASE) capabilities including: Data loss prevention (DLP) detections for sensitive content (e.g., PII, source code, financials) 0:22 Detections for data at rest in AI tools like ChatGPT 1:00 Guardrails for user prompts based on intent / topic to block jailbreak attempts, code abuse, PII requests, and other risky behavior 2:12.

See how Cloudflare One helps restore visibility and controls over unsanctioned use of AI tools. This demo highlights secure access service edge (SASE) capabilities including: Shadow AI reporting: Analyze how AI apps are used across your environment 0:10 Application confidence scores: Evaluate the risks posed by specific AI apps 1:10 Access controls: Allow, block, redirect, isolate, and more based on an app’s approval status 1:45.

See how Cloudflare One simplifies access controls across both generative AI and agentic AI communication — all from one unified secure access service edge (SASE) dashboard. This demo highlights: Securing human-to-AI connections by as blocking or redirecting from unapproved tools and isolating AI apps to protect data (0:09) Streamlining access to MCP servers for AI-to-resource connections via Cloudflare’s MCP server portals (1:10)

In this clip from This Week in NET, Systems Engineer Steve James gives a hands-on demo of a real-time multiplayer chess game running inside ChatGPT, built with the Agents SDK and Cloudflare Workers. Beyond the demo, we talk about what developers can build today with AI agents — and why, given the pace of innovation, it’s genuinely hard to predict what applications and experiences will emerge in 2026.