Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Demo: Prevent data exposure in AI

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.

Demo: Discover workforce use of shadow AI

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.

Demo: Access controls for GenAI and agentic AI

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)

The 12 Months of Innovation: How Salt Security Helped Rewrite API & AI Security in 2025

As holiday lights go up and inboxes fill with year-in-review emails, it’s tempting to look back on 2025 as “the year of AI.” But for security teams, it was something more specific – the year APIs, AI agents, and MCP servers collided across the API fabric, expanding the attack surface faster than most organizations could keep up. At Salt Security, we spent 2025 focused on one thing: defending the API action layer where AI, applications, and data intersect.

Building a Real-Time Multiplayer Chess Game Inside ChatGPT (Agents SDK)

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.

The SOC Analyst Agent: Bring an Agentic approach to work with your SOC team

For years, security teams have dealt with the challenges of alert fatigue, endless tools and data sources, and constant context switching. But, so far, we haven’t been able to significantly improve it with traditional tools. However, new agentic approaches can start providing improved gains. This begins to change the way SOC teams operate and approach managing their talent.

Risk Acceptance vs Risk Exposure: Making Smarter Security Investments

Before investing in new security tools, it’s critical to understand what your current stack is actually delivering. Barmak Meftah spoke about the importance of baselining existing investments to truly grasp risk acceptance versus real risk exposure. Without that foundation, new acquisitions lack context and are often driven by trends rather than necessity. Smarter decisions come from understanding:︎ What is already deployed︎ How it is configured︎ Where exposure persists.

Agentic AI and Shadow APIs: Why SecOps Needs Specialization Now

Agentic AI and Shadow APIs: Why SecOps Needs Specialization Now APIs are rapidly becoming the core “language” of AI, and when agentic AI can generate its own APIs, the security stakes rise significantly. In this clip from the A10 Networks discussion, “APIs are the Language of AI – Protecting Them is Critical,” A10 security experts Jamison Utter and Carlo Alpuerto unpack why specialized skills and tools are now essential for modern security operations teams.

The top 6 AI security trends for 2026-and how companies can prepare

AI is changing the threat landscape faster than organizations can respond. AI-generated phishing and fraud have increased sharply year-over-year, and GenAI is enabling more sophisticated cyber attacks than ever before. ‍ Businesses are feeling the pain. Our team at Vanta surveyed 2,500 business and IT leaders across the globe and found that nearly three-quarters believe AI threats are outpacing their ability to manage them.