# Treza > Treza chains the best generative models, including Veo 3.1, Seedance 2.5, Gemini Image, Llama, and any open model, into pipelines you build visually and publish as one versioned API. One prompt can drive video, image, and text generation in a single pipeline. ## Core pages - [Treza](https://www.trezalabs.com/): Chain the best generative models into pipelines you run from a prompt or call as an API - [Features](https://www.trezalabs.com/features): Visual pipeline builder, versioned endpoints, run history, and guardrails - [AI Video Generator](https://www.trezalabs.com/ai-video-generator): Text to video with Veo 3.1, Seedance 2.5, Kling, and Wan, chained with voiceover, captions, and publishing - [AI Image Generator](https://www.trezalabs.com/ai-image-generator): Text to image with Gemini Image, FLUX.2 Pro, Seedream, or any open model, as pipelines and APIs - [Model Library](https://www.trezalabs.com/models): Side by side reference for every video and image model on Treza, with specs, prompts, and pricing - [Tools](https://www.trezalabs.com/tools): Job-specific builders on the same pipeline engine: faceless channels, Shorts, UGC ads, product video - [Pricing](https://www.trezalabs.com/pricing): Prepaid credits that work across any model, packs start at $5 - [Developers](https://www.trezalabs.com/developers): API reference, /invoke and OpenAI-compatible endpoints, SDK quickstarts - [Integrate](https://www.trezalabs.com/integrate): Call any published pipeline as an API, typed /invoke or OpenAI-compatible /chat/completions - [Blog](https://www.trezalabs.com/blog): Guides and comparisons on AI video, image, and text generation pipelines - [Contact](https://www.trezalabs.com/contact): Talk to the team about demos, enterprise plans, and volume pricing - [Support](https://www.trezalabs.com/support): Get help with pipelines, billing, API setup, and account issues ## For agents - [MCP server](https://www.trezalabs.com/api/mcp): Streamable HTTP MCP with OAuth. Tools to author pipelines, publish them, estimate cost, start runs, poll results, and mint scoped API keys - [Pipeline API](https://www.trezalabs.com/integrate): Call any published pipeline with typed /invoke or an OpenAI-compatible /chat/completions endpoint - [Credit balance](https://www.trezalabs.com/api/account/balance): Prepaid balance, plan usage, and top-up options, readable with an API key - [Pay-per-video](https://www.trezalabs.com/api/x402/video): Send a prompt with an x402 USDC payment and get a generated video back. No account, API key, or signup, the payment is the only credential. Priced per request by clip length and model (minimax-h3 by default, seedance-2.5 on request; send model in the body). Explained at https://www.trezalabs.com/x402 - [Agent-native top-up](https://www.trezalabs.com/api/billing/credits/x402): Pay in USDC on Base with the x402 protocol and the credits post immediately, no human in the loop. Listed in the x402 Bazaar - [OpenAPI spec](https://www.trezalabs.com/.well-known/openapi.json): Machine-readable description of every endpoint above ## Tools - [Faceless video generator](https://www.trezalabs.com/tools/faceless-video-generator): Faceless YouTube and TikTok channels that publish on a schedule - [AI shorts generator](https://www.trezalabs.com/tools/ai-shorts-generator): Vertical short-form video for TikTok, Reels, and Shorts - [AI clip generator](https://www.trezalabs.com/tools/ai-clip-generator): Clipping webinars, interviews, and talks into vertical shorts - [AI UGC ad generator](https://www.trezalabs.com/tools/ugc-ad-generator): Performance creative and social video ads at volume - [AI product video generator](https://www.trezalabs.com/tools/ai-product-video-generator): Product demos and ecommerce video, one pipeline per catalog - [AI video production platform](https://www.trezalabs.com/tools/ai-video-production-platform): End to end production that ends published, not exported - [AI video automation](https://www.trezalabs.com/tools/ai-video-automation): Scheduled channels, event-triggered videos, and API-driven batches - [Generate videos from Claude](https://www.trezalabs.com/tools/claude-video-generator): Running your video pipelines from Claude and other MCP clients - [AI voiceover generator](https://www.trezalabs.com/tools/ai-voiceover-generator): Narration for faceless videos, shorts, demos, and multilingual versions - [AI video transcriber](https://www.trezalabs.com/tools/ai-video-transcriber): Transcripts, SRT files, and captions from your recordings - [AI podcast clip generator](https://www.trezalabs.com/tools/podcast-clip-generator): Captioned Shorts cut from your podcast feed - [AI image to video generator](https://www.trezalabs.com/tools/image-to-video-generator): Motion from a photo, poster, or generated key frame - [AI video caption generator](https://www.trezalabs.com/tools/ai-caption-generator): Word-timed captions burned into every video - [AI YouTube title and tag generator](https://www.trezalabs.com/tools/ai-youtube-title-generator): Titles, descriptions, and tags written per upload from the transcript - [x402 video generation API](https://www.trezalabs.com/tools/x402-video-generation-api): Agents and apps that pay per video with a wallet, no API key ## Models - [Veo 3.1](https://www.trezalabs.com/models/veo-3-1): Cinematic hero shots with synced dialogue and sound. - [Veo 3.1 Fast](https://www.trezalabs.com/models/veo-3-1-fast): Fast drafts, prompt exploration, and batch social clips. - [Kling 3.0 Pro](https://www.trezalabs.com/models/kling-3-0-pro): Dance, sport, and action with consistent characters. - [Seedance 2.0](https://www.trezalabs.com/models/seedance-2-0): Consistent products and characters across whole campaigns. - [Seedance 2.5](https://www.trezalabs.com/models/seedance-2-5): Long single-take clips and daily short-form volume. - [Grok Imagine](https://www.trezalabs.com/models/grok-imagine): High-volume drafts, memes, and clips from real photos. - [Wan 2.7](https://www.trezalabs.com/models/wan-2-7): People-led clips built from real photos. - [Hailuo 3](https://www.trezalabs.com/models/hailuo-3): Controlled edits, brand text, and exact keyframes. - [Runway Gen-4.5](https://www.trezalabs.com/models/runway-gen-4-5): Cinematic shot craft with reproducible iteration. - [FLUX.3 Video](https://www.trezalabs.com/models/flux-3-video): Long takes, keyframe control, and extending footage. - [Kling Video O1](https://www.trezalabs.com/models/kling-video-o1): Everyday clips and scheduled pipelines on a budget. - [Gemini 2.5 Flash Image](https://www.trezalabs.com/models/gemini-2-5-flash-image): Fast conversational edits and consistent characters. - [Gemini 3.1 Flash Image](https://www.trezalabs.com/models/gemini-3-1-flash-image): New projects wanting the latest fast Google image model. - [FLUX.2 Pro](https://www.trezalabs.com/models/flux-2-pro): Hero assets and designs where the text must read. - [Seedream 4.5](https://www.trezalabs.com/models/seedream-4-5): Print-resolution assets and multi-reference composition. ## Blog - [Veo 3.1 vs Veo 3.1 Fast: Is Fast Good Enough?](https://www.trezalabs.com/blog/veo-3-1-vs-veo-3-1-fast-comparison): A parameter-level comparison of Google Veo 3.1 and Veo 3.1 Fast: identical clip lengths, aspect ratios, resolutions and keyframes, and a per-second price gap that is widest in the exact configuration most people render in. - [MCP Tools for Video Editing: What an Agent Can Actually Cut](https://www.trezalabs.com/blog/mcp-tools-for-video-editing): An AI agent cannot drag a playhead, so video editing over MCP has to work at a different altitude. Here are the tools a real video editing MCP server exposes, the editing nodes behind them, and what still needs a human on a timeline. - [What Is a Faceless YouTube Channel?](https://www.trezalabs.com/blog/what-is-a-faceless-youtube-channel): What a faceless YouTube channel means, the formats that count as faceless, how the videos get made, and what the label does not imply about anonymity or automation. - [How to Start a Faceless YouTube Channel for Free](https://www.trezalabs.com/blog/how-to-start-a-faceless-youtube-channel-for-free): How to start a faceless YouTube channel for free: which stages of production genuinely cost nothing, what free tiers restrict, and where the first real money goes. - [Node-Based Video Generation, Explained](https://www.trezalabs.com/blog/node-based-video-generation): What node-based video generation actually means: a node is one production step with its inputs, settings, output and cost in view, the wires carry real media, and the graph reruns forever. Anatomy, the five node types, and where the model breaks down. - [Batch Video Generation API: Rendering Many Videos From One Integration](https://www.trezalabs.com/blog/batch-video-generation-api): What a batch video generation API actually is, why fan-out beats a bulk endpoint for renders that take minutes, and the three ways to run many AI videos at once on Treza: concurrent API calls, a For each node, and schedules. - [The Best AI Voice for Faceless YouTube Videos (2026)](https://www.trezalabs.com/blog/best-ai-voice-for-faceless-youtube-videos): How to pick the best AI voice for YouTube: what makes narration listenable, matching a voice to your format, keeping one voice per channel, and pacing scripts. - [How to Start a Faceless Gaming Channel (2026)](https://www.trezalabs.com/blog/how-to-start-a-faceless-gaming-channel): How to start a faceless gaming channel: formats that stay easy at video 50, what footage you can actually use, narration and captions, and publishing on a schedule. - [n8n for Video vs a Real Video Pipeline: What Each One Actually Automates](https://www.trezalabs.com/blog/n8n-video-automation-vs-treza-ai-video-pipeline): n8n can wire video model APIs together with HTTP Request nodes, a render service, and a posting service. A video pipeline has those stages as native nodes. A factual comparison of what each automates, what it costs, and when to use both. - [Best AI Tools for Faceless YouTube Channels (By the Job They Do)](https://www.trezalabs.com/blog/best-ai-tools-for-faceless-youtube-channels): An honest roundup of the best AI tools for faceless YouTube channels, organized by production job: scripting, voiceover, visuals, captions, metadata, and scheduling. Point tools vs all-in-one apps vs a pipeline, with dated facts. - [Fliki vs Treza: Text-to-Video with Stock Media or a Generative Pipeline?](https://www.trezalabs.com/blog/fliki-vs-treza-ai-video-comparison): Fliki turns scripts, blog posts, and slide decks into narrated videos with 2,000+ voices, stock media, and avatars on a subscription. Treza generates every shot with frontier video models, then captions, schedules, and publishes on prepaid credits. A factual comparison. - [Higgsfield vs Treza: Cinematic Single Clips or a Pipeline That Publishes?](https://www.trezalabs.com/blog/higgsfield-vs-treza-ai-video-comparison): Higgsfield is a cinematic AI creative suite with its own models, 50+ camera-move presets, and Soul ID character consistency, sold by subscription. Treza runs frontier video models inside a node pipeline that narrates, captions, schedules, and publishes on prepaid credits. A factual comparison of features, pricing, and fit. - [How to Warm Up a New YouTube Channel for Automation](https://www.trezalabs.com/blog/how-to-warm-up-a-new-youtube-channel-for-automation): How to warm up a new YouTube channel before pointing an automated pipeline at it: a week-by-week pacing plan, the mass-produced content policy, AI labels, and what our own pipelines do at each stage. - [How We Run Automated YouTube Channels on Our Own Pipelines](https://www.trezalabs.com/blog/how-we-run-automated-youtube-channels-on-our-own-pipelines): Six faceless YouTube channels run on the same Treza pipelines customers use. Here is the graph, the schedule, the review pass, what broke, and what we changed, with no invented numbers. - [InVideo AI vs Treza: Agent Editor or Video Pipeline?](https://www.trezalabs.com/blog/invideo-ai-vs-treza-ai-video-comparison): InVideo AI is a prompt-to-video editor with stock, avatars, voice clones, and access to Seedance, Veo, and Kling on a monthly subscription. Treza runs the same frontier models inside a scheduled, publishing pipeline on prepaid credits. A factual comparison. - [Pictory vs Treza: Stock Footage Assembly or a Generative Video Pipeline?](https://www.trezalabs.com/blog/pictory-vs-treza-ai-video-comparison): Pictory turns scripts, URLs, and long recordings into stock-footage videos on a subscription. Treza generates footage with frontier video models, narrates, captions, schedules, and publishes on prepaid credits. A factual comparison of features, pricing, and fit. - [RankReel vs Treza: Video SEO Tooling or a Pipeline That Makes and Publishes the Video?](https://www.trezalabs.com/blog/rankreel-vs-treza-ai-video-comparison): RankReel is a one-time video ranking suite: keyword research, competitor analysis, title and description optimization, and backlinks for videos you already have. Treza generates the video with frontier models, narrates, captions, writes the YouTube metadata, and publishes on a schedule with prepaid credits. A factual comparison. - [How to Make Faceless YouTube Shorts With AI (2026 Guide)](https://www.trezalabs.com/blog/faceless-youtube-shorts): How to make faceless YouTube Shorts with AI: 9:16 formats that repeat, word-by-word captions for muted feeds, a posting cadence you can sustain, and one pipeline that does all of it. - [Preview the First Frame Before You Pay for the Video](https://www.trezalabs.com/blog/how-to-set-a-first-frame-image-for-ai-video-generation): Generate the opening frame on an image model for cents, check the composition, then wire it into the video node's First frame port. How keyframes, Run to here, and output locking cut wasted video renders. - [Hailuo 3 vs Seedance 2.5: Sharp and Short, or Long and Soft](https://www.trezalabs.com/blog/hailuo-3-vs-seedance-2-5-comparison): A parameter-level comparison of MiniMax Hailuo 3 and ByteDance Seedance 2.5: clip length, resolution up to 4K, aspect ratios, keyframes, native audio, and published per-second cost. - [Will YouTube Demonetize AI or Faceless Channels?](https://www.trezalabs.com/blog/youtube-ai-content-monetization-policy): Will YouTube demonetize AI or faceless channels? What the inauthentic content policy actually says, when the altered or synthetic content label is required, and what keeps a generated channel monetizable. - [Do Faceless YouTube Channels Make Money? The Honest Math](https://www.trezalabs.com/blog/do-faceless-youtube-channels-make-money): Do faceless YouTube channels make money? What the YouTube Partner Program requires as of 2026, why online revenue figures are unverifiable, and the side of the equation you can calculate: cost per video. - [How to Clip for Vyro Campaigns with an AI Pipeline (Brief to Submitted URL)](https://www.trezalabs.com/blog/how-to-clip-for-vyro-campaigns-with-an-ai-pipeline): A clipper's workflow for Vyro, Whop, and Clip Collective campaigns: paste the brief, drop in the source, and get a checked, captioned, posted clip plus the URLs to submit. What to automate and what stays with you. - [Veo 3.1 vs Kling 3.0 Pro: Polish Against Length and Price](https://www.trezalabs.com/blog/veo-3-1-vs-kling-3-0-pro-comparison): A parameter-level comparison of Google Veo 3.1 and Kling 3.0 Pro: clip lengths, aspect ratios, resolution ceilings, keyframes, native audio, and the published per-second rates each one bills at. - [Faceless YouTube Automation: Run the Whole Channel on a Schedule](https://www.trezalabs.com/blog/faceless-youtube-automation): How faceless YouTube automation actually works: script, voiceover, captions, metadata, and scheduled upload as one pipeline, plus what you should never automate. - [Seedance 1.5 Pro vs Seedance 2.5: The Cheap One and the Long One](https://www.trezalabs.com/blog/seedance-1-5-pro-vs-seedance-2-5-comparison): A parameter-level comparison of ByteDance Seedance 1.5 Pro and Seedance 2.5: clip length, resolution, aspect ratios, reference images, audio pricing, and measured per-second cost. - [Faceless YouTube Channel Ideas That Actually Scale (2026)](https://www.trezalabs.com/blog/faceless-youtube-channel-ideas): Faceless YouTube channel ideas ranked by the only test that matters: whether video #50 is as easy to make as video #5. Formats we actually run in production, and the ones that quietly don't scale. - [Seedream 4.5 API and Pricing, Explained Through a Real Pipeline](https://www.trezalabs.com/blog/seedream-4-5-api-pricing-through-a-pipeline): What Seedream 4.5 costs per image, which two settings move the charge, how its editing and multi-reference modes work, and how to call the model as a published API endpoint instead of building a ByteDance integration. - [Seedream 4.5 vs Gemini 2.5 Flash Image: Which One, and When](https://www.trezalabs.com/blog/seedream-4-5-vs-gemini-2-5-flash-image-comparison): A parameter-level comparison of Seedream 4.5 and Gemini 2.5 Flash Image, also known as Nano Banana: resolution control, aspect ratios, reference images, batching, editing behavior, and cost. - [What a Daily AI Video Actually Costs](https://www.trezalabs.com/blog/how-much-does-ai-video-generation-cost): Posted per-second model rates are only part of the bill. Here is what one finished, narrated, captioned, published video costs, worked through real rates and our own measured production runs. - [Selling Video Generation to Agents, for USDC](https://www.trezalabs.com/blog/selling-video-generation-to-agents-for-usdc): How we put an AI video generation API behind the x402 payment protocol: wallet-keyed accounts, per-request dynamic pricing, async claim tickets, and the fail-open bugs we hit on the way. - [LTX Studio vs Treza: A Film Workspace and a Shipping Pipeline](https://www.trezalabs.com/blog/ltx-studio-vs-treza-ai-video-production-comparison): LTX Studio turns a script into storyboards, shots, and a cut inside one production workspace. Treza runs a pipeline that ends with the video published. A factual comparison of features, models, pricing, and who each one fits. - [Seedance 2.5 API and Pricing, Explained Through a Real Pipeline](https://www.trezalabs.com/blog/seedance-2-5-api-pricing-through-a-pipeline): How Seedance 2.5 actually bills, which settings move the number, and how to call the model as a published API through a pipeline instead of integrating ByteDance yourself. - [Veo 3.1 API and Pricing, Explained Through a Real Pipeline](https://www.trezalabs.com/blog/veo-3-1-api-pricing-through-a-pipeline): What Veo 3.1 actually costs per second, by resolution and audio, plus how to call it as a published API through a pipeline instead of wiring Google's raw endpoint yourself. - [How to Connect Cursor to a Video Pipeline with MCP](https://www.trezalabs.com/blog/how-to-connect-cursor-to-a-video-pipeline-mcp): Add Treza's hosted MCP server to Cursor and drive real video pipelines from the editor: run renders, poll status, and get finished video links without leaving your codebase. - [What Is a Video Generation MCP Server, and How Does It Work?](https://www.trezalabs.com/blog/video-generation-mcp-server): A video generation MCP server lets Claude and other AI agents run real video pipelines instead of just writing prompts. Here is what the tools look like, how the async render loop works, and how Treza's hosted server does it. - [How to Connect Claude Code to a Video Pipeline with MCP](https://www.trezalabs.com/blog/how-to-connect-claude-code-to-a-video-pipeline-mcp): Give Claude Code a real video generator: add Treza's hosted MCP server with one command, authenticate with OAuth, and have Claude run pipelines that render, caption, and publish video. - [Preview.io vs Treza: Production Platform or Video Pipeline?](https://www.trezalabs.com/blog/preview-io-vs-treza-ai-video-platform-comparison): Preview.io is a collaborative pre-production workspace that exports to Final Cut. Treza is a pipeline that generates, edits, and publishes. A factual comparison of features, models, pricing, and who each one fits. - [Wireflow vs Treza: Two Node Canvases, Two Different Bets](https://www.trezalabs.com/blog/wireflow-vs-treza-ai-video-workflow-comparison): Wireflow and Treza both chain AI models on a node canvas. One bets on ad creative volume with subscriptions, the other on production pipelines with prepaid credits. A factual feature and pricing comparison. - [Seedance 2.5 vs Veo 3.1: Which AI Video Model Wins in 2026?](https://www.trezalabs.com/blog/seedance-2-5-vs-veo-3-1-comparison): A hands-on comparison of Seedance 2.5 and Veo 3.1 for AI video generation: clip length, formats, resolution, audio, and cost, with a spec table and clear picks per use case. - [Seedance 2.5 vs Veo 3.1 vs Sora 2: Which AI Video Model Wins in 2026?](https://www.trezalabs.com/blog/seedance-2-5-vs-veo-3-1-vs-sora-2-comparison): A hands-on comparison of Seedance 2.5, Veo 3.1, and Sora 2 for AI video generation: clip length, formats, resolution, audio, and cost, with a spec table and clear picks per use case. - [How to Build an AI Image Generation Pipeline (2026 Guide)](https://www.trezalabs.com/blog/how-to-build-an-ai-image-generation-pipeline): How to build an AI image generation pipeline: expand a brief with an LLM, render with Gemini, FLUX, or Seedream, and ship it behind one API. - [How to Add AI Voiceover to Videos with Text-to-Speech (2026 Guide)](https://www.trezalabs.com/blog/how-to-add-ai-voiceover-to-videos-text-to-speech): How to add AI voiceover to videos with a text-to-speech API: turn a script into natural narration, time it to your footage, and run it as a repeatable pipeline. - [How to Create a Faceless YouTube Channel (2026 Guide)](https://www.trezalabs.com/blog/how-to-create-a-faceless-youtube-channel): Learn how to create a faceless YouTube channel step by step: picking a niche, generating videos with AI, captions and metadata, auto-publishing, and monetization. - [How to Transcribe Video Automatically with an AI Transcription API (2026 Guide)](https://www.trezalabs.com/blog/how-to-transcribe-video-automatically-ai-transcription-api): A step-by-step guide to transcribing video automatically with an AI transcription API: extract audio, run a speech-to-text model, get timestamped text and JSON, as one repeatable pipeline. - [How to Add Captions to AI Videos Automatically (2026 Guide)](https://www.trezalabs.com/blog/how-to-add-captions-to-ai-videos-automatically): A step-by-step guide to auto-captioning AI videos: transcribe the audio, generate SRT/VTT subtitles, and burn them in, all as one repeatable pipeline behind an API. - [How to Auto-Publish AI Videos to YouTube (2026 Guide)](https://www.trezalabs.com/blog/how-to-auto-publish-ai-videos-to-youtube): Learn how to automatically publish AI-generated videos to YouTube: the recommended resumable upload API, titles and metadata, captions, and scheduling, as one pipeline. - [Multi-Model AI Pipelines: How to Chain Video, Image, and Text Models](https://www.trezalabs.com/blog/multi-model-ai-pipelines-chaining-video-image-text): Learn what a multi-model AI pipeline is, common patterns for chaining video, image, and text models, and how to publish the whole chain behind one API. - [Veo 3.1 vs Sora 2: Which AI Video Model Should You Use?](https://www.trezalabs.com/blog/veo-3-vs-sora-2-ai-video-model-comparison): A practical comparison of Veo 3.1 and Sora 2 for AI video generation: quality, motion, duration, cost, and when to pick each. Plus why you shouldn't lock yourself to one. - [AI Agent Sandboxing: How to Contain Autonomous AI Execution in 2026](https://www.trezalabs.com/blog/ai-agent-sandboxing-hardware-isolation-containment): Software sandboxes can't contain a compromised AI agent, the escape paths are too wide. Learn how hardware-enforced isolation, attestation, and least-privilege execution boundaries create a sandbox that actually holds in production. - [AI Video Pipeline: What It Is and How to Build One (2026)](https://www.trezalabs.com/blog/how-to-build-an-ai-video-generation-pipeline): An AI video pipeline is an automated chain of AI models that turns a brief or script into a finished, published video. Learn the six stages and build one that runs on a schedule or behind an API. - [Zero Trust for AI Agents: A Complete Architecture Guide for 2026](https://www.trezalabs.com/blog/zero-trust-for-ai-agents-complete-architecture-guide): Traditional zero trust assumes humans log in and log out. AI agents run continuously, hold credentials, and make autonomous decisions, the old model breaks. Learn how to apply zero trust to agentic AI systems using attestation, hardware isolation, and least-privilege design. - [AI Agent Security: The Complete Guide for 2026](https://www.trezalabs.com/blog/ai-agent-security-production-complete-guide): AI agents that hold secrets, call APIs, and execute code introduce a fundamentally new attack surface. This guide covers the full threat model, prompt injection, secret leakage, credential abuse, and more, and the architectural defenses that actually work. - [Prompt Injection Attacks on AI Agents: How They Work and How to Stop Them](https://www.trezalabs.com/blog/prompt-injection-attacks-on-ai-agents): Prompt injection is the top security threat for AI agents in 2026. How direct, indirect, and cross prompt injection (XPIA) attacks work, why guardrails fail, and how to stop them at the execution boundary. - [What Is Agentic AI Governance?](https://www.trezalabs.com/blog/what-is-agentic-ai-governance): Agentic governance is the discipline of controlling what autonomous AI agents may do and proving what they did. Get a six-pillar framework, EU AI Act and NIST AI RMF mapping, and runtime enforcement patterns. - [What Is an MCP Control Plane? Governing Model Context Protocol Servers at Scale](https://www.trezalabs.com/blog/what-is-an-mcp-control-plane): MCP turned every API into a tool an AI agent can call. That's powerful, and ungoverned. An MCP control plane is the layer that decides which servers your agents can discover, which tools they can invoke, and how to prove those servers haven't been tampered with. - [What Is Confidential Computing? A Complete Guide for 2026](https://www.trezalabs.com/blog/what-is-confidential-computing-complete-guide): Confidential computing protects data while it's being processed, the last gap in the encryption story. This guide explains how it works, the hardware that powers it, real-world use cases, and how to adopt it without rewriting your applications. - [How to Run AI on Sensitive Data Without Violating HIPAA or GDPR](https://www.trezalabs.com/blog/how-to-run-ai-on-sensitive-data): 97% of enterprise AI deployments are blocked by 'no sensitive data in LLMs' policies. This guide covers exactly how to unlock AI on PII, PHI, and financial data using hardware-isolated enclaves, with cryptographic proof your data never left the boundary. - [Redacting PII at the Step Boundary: Least-Privilege Data Access for AI Agents](https://www.trezalabs.com/blog/redacting-pii-in-agentic-systems-least-privilege-data-access): AI agents don't need to carry your users' personal data through every step of a workflow. Here's how to enforce field-level PII stripping at each step boundary, with an audit log that proves it. - [ZK KYC in a Trusted Execution Environment: Cryptographic Identity for the Agentic Era](https://www.trezalabs.com/blog/zk-kyc-in-a-trusted-execution-environment): Zero-knowledge proofs let users prove identity claims without revealing underlying PII. Trusted Execution Environments let verifiers prove the check ran correctly without trusting the operator. Together, they form a compliance architecture that enterprises and AI agents can actually trust. - [What Are Docker Hardened Images and Why Do They Matter?](https://www.trezalabs.com/blog/docker-hardened-images-production-security): Most Docker images carry far more than your application needs, extra packages, root access, known CVEs. Hardened images strip that attack surface away. Here's what they are, how to build them, and why they're non-negotiable for production security. - [What Is an AI Control Plane?](https://www.trezalabs.com/blog/what-is-an-ai-control-plane): An AI control plane is the governance layer above autonomous AI agents: policy enforcement, hardware attestation, and tamper-evident audit logs. See the architecture, real examples, and when you need one. - [FIPS, ISO, and the Compliance Standards That Matter for Privacy Infrastructure](https://www.trezalabs.com/blog/fips-iso-and-compliance-standards-for-privacy-infrastructure): A practical guide to the security and compliance standards, FIPS 140-3, ISO 27001, SOC 2, NIST 800-53, PCI DSS, and more, that privacy-first platforms should align with, and how TEE-based architectures like Treza map to each. - [How to Build an AI Agent That Can Pay for Its Own APIs](https://www.trezalabs.com/blog/how-to-build-an-ai-agent-that-can-pay-for-its-own-apis): AI agents can write code and manage infrastructure, but most still need a human to set up billing. This tutorial shows how to build an agent that discovers, pays for, and consumes APIs autonomously, using x402 micropayments and hardware-secured wallets. - [MPC vs TEE vs FHE: Which Privacy Technology Should You Use in 2026?](https://www.trezalabs.com/blog/mpc-vs-tee-vs-fhe-which-privacy-technology-should-you-use): Multi-Party Computation, Trusted Execution Environments, and Fully Homomorphic Encryption each solve privacy differently. This guide compares performance, trust assumptions, and practical deployment so you can pick the right one for your use case. - [Private AI: How to Run Models Without Exposing Your Data](https://www.trezalabs.com/blog/private-ai-how-to-run-models-without-exposing-your-data): Every AI API call sends your data to someone else's server. This guide covers the full spectrum of private AI approaches, from local inference to hardware-isolated enclaves, and shows how to run production AI workloads where not even the cloud operator can see your prompts or outputs. - [Secure Enclaves for Developers: Deploy Docker Containers in Hardware Isolation](https://www.trezalabs.com/blog/secure-enclaves-for-developers-deploy-docker-containers-in-hardware-isolation): A practical guide to running Docker containers inside secure enclaves. Learn how to deploy, attest, and manage workloads in AWS Nitro Enclaves without rewriting your application, using the Treza SDK, CLI, or REST API. - [What Is a Trusted Execution Environment (TEE)? A Complete Guide for 2026](https://www.trezalabs.com/blog/what-is-a-trusted-execution-environment-tee-complete-guide): Trusted Execution Environments provide hardware-level isolation for sensitive computation. This guide explains how TEEs work, compares AWS Nitro Enclaves vs Intel SGX vs AMD SEV, and shows when your application needs one. - [x402 Payment Integration: Autonomous Micropayments for AI Agents](https://www.trezalabs.com/blog/x402-payment-integration-autonomous-micropayments-for-ai-agents): Treza now supports the x402 protocol, AI agents can discover, access, and pay for secure enclave services using instant USDC micropayments on Base. No API keys, no subscriptions, no human in the loop. - [How to Run OpenClaw in a Trusted Execution Environment (TEE) with Treza](https://www.trezalabs.com/blog/how-to-run-openclaw-in-a-trusted-execution-environment-with-treza): Deploy OpenClaw, the open-source personal AI assistant, inside a hardware-isolated Trusted Execution Environment using Treza's Nitro Enclave infrastructure. Full walkthrough from Docker image to cryptographic attestation. - [Why AI Assistants Need Trusted Execution Environments: Running OpenClaw in a TEE](https://www.trezalabs.com/blog/why-ai-assistants-need-trusted-execution-environments-running-openclaw-in-a-tee): AI assistants handle API keys, messaging credentials, and user conversations. A Trusted Execution Environment enforces hardware-level isolation that Docker and VMs cannot match. Here's what TEEs are, why they matter, and how to run OpenClaw inside one. - [How to Run OpenClaw in Docker: Complete Setup Guide (2026)](https://www.trezalabs.com/blog/how-to-run-openclaw-in-docker-complete-setup-guide): Step-by-step guide to running OpenClaw, the open-source AI assistant, in a Docker container. Covers installation, configuration, Telegram setup, dashboard access, and production hardening. - [HIPAA Compliance with Secure Enclaves](https://www.trezalabs.com/blog/hipaa-compliance-with-secure-enclaves): Handle protected health information with compliant secure enclaves that meet HIPAA regulatory requirements. ## Help - [Connect Anthropic to Treza](https://www.trezalabs.com/help/connect-anthropic) - [Connect Azure OpenAI to Treza](https://www.trezalabs.com/help/connect-azure-openai) - [Connect a custom provider to Treza](https://www.trezalabs.com/help/connect-custom) - [Connect OpenAI to Treza](https://www.trezalabs.com/help/connect-openai)