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Vercel Open Source Program: Winter 2026 cohort How Notion Workers run untrusted code at scale with Vercel Sandbox How we run Vercel's CDN in front of Discourse From idea to secure checkout in minutes with Stripe Building Slack agents can be easy Scaling redirects to infinity on Vercel Advancing Python typing Gamma builds design-first agents with Vercel How Avalara turns pipe dreams into patent-pending with v0 Keeping community human while scaling with agents How OpenEvidence built a healthcare AI that physicians actually trust Security boundaries in agentic architectures Skills Night: 69,000+ ways agents are getting smarter Video Generation with AI Gateway We Ralph Wiggumed WebStreams to make them 10x faster How Stably ships AI testing agents in hours, not weeks How we built AEO tracking for coding agents Anyone can build agents, but it takes a platform to run them Introducing Geist Pixel The Vercel AI Accelerator is back with $6m in credits Making agent-friendly pages with content negotiation The Vercel OSS Bug Bounty program is now available Introducing the new v0 Run untrusted code with Vercel Sandbox, now generally available How Stripe built a game-changing app in a single flight with v0 How Sensay went from zero to product in six weeks AGENTS.md outperforms skills in our agent evals Agent skills explained: An FAQ Testing if "bash is all you need" AWS databases are now live on the Vercel Marketplace and v0 Use Perplexity Web Search with Vercel AI Gateway Introducing: React Best Practices Nick Bogaty joins Vercel as Chief Revenue Officer How Mux shipped durable video workflows with their @mux/ai SDK How to build agents with filesystems and bash How we made v0 an effective coding agent Stopping the slow death of internal tools Building AI-Generated Pixel Trading Cards with Vercel AI Gateway We removed 80% of our agent’s tools AI SDK 6 Our $1 million hacker challenge for React2Shell Cline now runs on Vercel AI Gateway How to prompt v0 Build smarter workflows with Notion and v0 Vercel launches partner certification Inside Workflow DevKit: How framework integrations work React2Shell Security Bulletin | Vercel Knowledge Base Billions of requests: Black Friday-Cyber Monday 2025 Investing in the Python ecosystem AWS Databases coming to the Vercel Marketplace How we built the v0 iOS app Workflow Builder: Build your own workflow automation platform Security through design: Creating the improved Firewall experience Vercel Open Source Program: Fall 2025 cohort Self-driving infrastructure Vercel collaborates with Google for Gemini 3 Pro Preview launch Vercel: The anti-vendor-lock-in cloud How Nous Research used BotID to block automated abuse at scale How AI Gateway runs on Fluid compute What we learned building agents at Vercel Build and deploy data applications on Snowflake with v0 BotID Deep Analysis catches a sophisticated bot network in real-time Vercel Agent can now run AI investigations Vercel achieves TISAX AL2 compliance to serve automotive partners Bun runtime on Vercel Functions David Totten Joins Vercel to Lead Global Field Engineering Vercel Ship AI 2025 recap You can just ship agents AI agents and services on the Vercel Marketplace Built-in durability: Introducing Workflow Development Kit Zero-config backends on Vercel AI Cloud Introducing Vercel Agent: Your new Vercel teammate Update regarding Vercel service disruption on October 20, 2025 Agents at work, a partnership with Salesforce and Slack Running Next.js in ChatGPT: How to Build ChatGPT Apps Talha Tariq joins Vercel as CTO of Security Just another (Black) Friday Server rendering benchmarks: Fluid Compute and Cloudflare Workers Towards the AI Cloud: Our Series F Collaborating with Anthropic on Claude Sonnet 4.5 to power intelligent coding agents Preventing the stampede: Request collapsing in the Vercel CDN BotID uncovers hidden SEO poisoning How we made global routing faster with Bloom filters What you need to know about vibe coding Scale to one: How Fluid solves cold starts Addressing security & quality issues with MCP tools - Vercel AI agents at scale: Rox’s Vercel-powered revenue operating system Helly Hansen migrated to Vercel and drove 80% Black Friday growth Introducing Vercel Drains: Complete observability data, anywhere Introducing x402-mcp: Open protocol payments for MCP tools MongoDB Atlas is now available on the Vercel Marketplace The second wave of MCP: Building for LLMs, not developers A more flexible Pro plan for modern teams Critical npm supply chain attack response - September 8, 2025 Stress testing Biome's noFloatingPromises lint rule Open SDK strategy Preparing for the worst: Our core database failover test AI-powered prototyping with design systems - Vercel – Vercel AI Gateway: Production-ready reliability for your AI apps - Vercel – Vercel Rethinking prototyping, requirements, and project delivery at Code and Theory - Vercel – Vercel
Zero Data Retention on AI Gateway
Jerilyn ZhengProduct, AI GatewayDan FeinProduct · 2026-04-11 · via Vercel News

Building with multiple AI models means wrestling with fragmented data policies. With many different model providers, it's not just fragmented, it's just too much time spent on the wrong things.

You have to read through different terms of service, track which providers comply with your security requirements, and hope developers remember to configure opt-outs correctly on every request. What should be a straightforward policy becomes a manual, error-prone process because many providers do not offer Zero Data Retention (ZDR) by default.

AI Gateway changes this by handling the negotiation and enforcement for you. Instead of managing policies provider by provider, you get the freedom to just build. AI Gateway ensures your data requirements are met automatically by only routing to providers where we have negotiated Zero Data Retention agreements. Models from OpenAI, Anthropic, Google, and more have ZDR providers available.

Today, we are expanding AI Gateway's compliance capabilities with team-wide Zero Data Retention (ZDR), letting you enforce strict data policies across your entire team without touching any code. Gateway compliance features now include team-wide ZDR from the dashboard, per-request ZDR for specific sensitive workflows, and explicit controls to disallow prompt training.

Toggle on in the AI Gateway Dashboard Settings, and all subsequent requests via AI Gateway will only route through ZDR-compliant providers.

Link to headingTeam-wide Zero Data Retention

Team-wide ZDR is available for Pro and Enterprise teams. It applies to every request your team makes, requiring no code changes. This is ideal for teams that want controls with complete assurance that no one can modify or misapply restrictions.

Link to headingRequest-level controls

Per-request ZDR lets you enforce data deletion on specific requests when only certain workflows handle sensitive data. This is useful when your app has proprietary information in certain queries but other requests are not as protected. You can enable request-level ZDR in all API formats supported by AI Gateway in the provider options.

import type { GatewayProviderOptions } from '@ai-sdk/gateway';

import { streamText } from 'ai';

const result = streamText({

model: 'anthropic/claude-sonnet-4.6',

prompt: 'Analyze this sensitive business data and provide insights.',

providerOptions: {

gateway: {

zeroDataRetention: true,

} satisfies GatewayProviderOptions,

},

});

Team-wide and per-request settings work together. If either is enabled, ZDR is enforced.

Link to headingDisallow Prompt Training

Disallow Prompt Training prevents providers from using your prompt data to train their models. This is a good default for any team sending proprietary code, internal documents, or business strategy through an LLM. This filter is available on the request-level.

ZDR is a superset of this control. If you enable ZDR, training opt-out is already covered.

import type { GatewayProviderOptions } from '@ai-sdk/gateway';

import { streamText } from 'ai';

const result = streamText({

model: 'anthropic/claude-sonnet-4.6',

prompt: 'Analyze this proprietary business strategy.',

providerOptions: {

gateway: {

disallowPromptTraining: true,

} satisfies GatewayProviderOptions,

},

});

Each response includes metadata showing which providers were considered and which were filtered out. This gives you an audit trail of how your data policies were enforced.

{

"gateway": {

"routing": {

"planningReasoning": "ZDR requested: 5 attempts → 2 ZDR attempts. ZDR execution order: anthropic(system) → bedrock(system)"

}

}

}

All of these filters work with the AI SDK, Chat Completions API, Responses API, Anthropic Messages API, and OpenResponses API.

Protecting data no longer requires custom logic in every route. By moving these rules to the gateway, compliance becomes infrastructure instead of application busywork. You get your control back, and your team gets to keep shipping.

For pricing details, see Zero Data Retention pricing. View the models and providers that support Zero Data Retention and Disallow Prompt Training on the model subpages. Enable Zero Data Retention in your dashboard settings today, or read the documentation for full setup details.