Super Protocol Announcements
описание
⚡️The official channel of Super Protocol. Confidential and Self-Sovereign AI Cloud and Marketplace governed by smart-contracts. Powered by Confidential Computing. Official community: @superprotocol
23 459
подписчиков
Охват к подписчикам
0,7%
ERR
Реакции к просмотрам
8,79%
886 на 37 постов
Пересылки к просмотрам
0,44%
44
Постов в день
0,0
всего 37
Где отзываются чаще
доля реакций к просмотрам- 27 апр.SOC 2 doesn't answer the question that kills the deal. An enterprise company is evaluating an AI vendor. The demo went well. The use case is clear – processing sensitive contracts and financial records. The price works. And then, one question comes up: If something changes on your end, or your provider's – what happens to our data? The vendor points to their SOC 2 certification and their contract with the infrastructure provider. The customer's legal team reads it carefully. It explains how access is managed and what happens if something goes wrong. But it doesn’t define what is technically enforced at runtime – if anything is. The question behind the question: 🔹 who can access your data at runtime 🔹 who can change how it’s processed 🔹 whether safeguards can be bypassed Those are questions of enforcement – not just process. The deal goes on hold. Legal gets involved. Months pass. Nothing moves. The problem isn’t security. It’s control at execution time. This is Problem #2 of 4. We call it the Control Problem. Super Swarm answers those questions at the level where they matter – execution, not policy. The encryption keys protecting your environment are generated inside secure hardware on your infrastructure – wherever it is – and never leave it. No copy exists – not with the infrastructure provider, not with us. The code is fully inspectable and runs on standard Kubernetes – your existing stack works without modification. Your infrastructure decisions outlast any vendor relationship. The system that removes your dependency on partners is itself designed so you never depend on us either. Problem #2 of 4. Next: you've solved trust between parties and you're not dependent on any single vendor. But what happens when you need to scale across dozens of organizations – all on different infrastructure?20,28%
- 1 апр.Two years ago we validated against the ARM CCA emulator. Today ARM is shipping their own silicon. The TEE landscape just got bigger. Again. ARM announced the Arm AGI CPU – their first ever production silicon, built on Neoverse V3 cores. Notably: ARM Confidential Computing Architecture (CCA) support is built-in from day one. Until now, ARM operated purely as an IP licensor – designing CPU architectures and licensing them to manufacturers like Apple, NVIDIA, Qualcomm, Samsung, and AWS, who built their own silicon on top. With the AGI CPU, ARM crosses that line for the first time: expanding from IP provider to silicon manufacturer as well. That shift matters – accelerating ARM CCA adoption across the industry. ARM CCA hardware is arriving – and more to come: 🔹 NVIDIA’s Vera CPU (including Vera Rubin platform) and Fujitsu’s next-gen server CPU – bringing CCA deeper into AI infrastructure 🔹 ARM AGI CPU is now available to order, with volume shipments expected by end of 2026 🔹 CCC-hosted projects like Islet, led by Samsung, bring ARM CCA to the edge – a signal of where confidential computing is heading next: robotics, IoT, on-device AI That's exactly why Super Protocol was built TEE-agnostic from the start. We validated early against the ARM CCA emulator, and later with the Linaro ARM CCA reference stack. Intel TDX, AMD SEV-SNP, ARM CCA, NVIDIA Confidential Computing – our stack is built to support them all. No re-architecture needed. No vendor lock-in. TEE-agnostic. Cloud-agnostic. Infrastructure-agnostic. Let's talk.18,39%
- 23 апр.Banks know more about you than almost anyone. And they do nothing with it. Your salary lands in their account. Your transactions reveal where you go. Their app captures how you behave. Where you live and how you actually live – all visible, all logged. Customers aren't saying "stop collecting my data." They're saying: "You already have it. Why aren't you using it for me?" Alex Pyatigorskiy, product executive with a background spanning Disney, global banks, and telecoms, now CPO at Vama, heard this across thousands of customer interviews. And it reframes the whole problem. Banks are not short on data. But they legally cannot share customer data with partners – and partners won't expose theirs either. So a joint offer that could benefit everyone never gets built. The knowledge stays locked. The customer stays underserved. And loyalty erodes to whoever offers 0.1% more on a savings account. Super Swarm is the architectural answer to that deadlock – verifiable confidential execution that runs on any infrastructure, so partners can collaborate without the ability to expose what isn't theirs to share. The bank finally acts on what it knows. The customer gets served. Not by policy. By architecture. 🎥 "Confidentially Yours" with Alex Pyatigorskiy and host Mike Bursell (Advisor, Super Protocol). Full episode on confidential computing in finance, telco, and agentic AI – where the real use cases are and why trust is still the bottleneck: https://youtu.be/429JMYQFQCE18,38%
- 15 дек.без подписи17,93%
- 7 апр.There is a tension at the center of every enterprise AI deployment right now. On one side, clients don't want their data used beyond their own use case – especially when it's proprietary or sensitive. On the other, vendors need data across customers to improve what they deliver. Both sides make sense. And that's exactly the problem. A data processing agreement can document the boundary. But it cannot enforce it. This is what AI governance frameworks keep running into: the compliance layer describes what should happen. It has no mechanism to prove it did. Agentic AI makes the problem structurally harder. With a single model call, the risk boundary is relatively clear. With agents operating across tools, APIs, and multi-step pipelines, a failure at one step compounds downstream. Governance written for static systems is already behind – and the frameworks haven't caught up. The answer isn't a stricter contract. It's removing the need to trust the operator at all. When AI workloads run inside hardware-isolated TEE environments, the vendor technically cannot access the client's data – not by policy, but by architecture. Super Swarm provides a cryptographic proof that the execution ran as declared, verifiable by any external party. That is the technical foundation that makes the governance assurance real rather than contractual. Governance sets the rules. Verifiable execution is what enforces them. Ray Orife, Head of Data Protection & AI Governance at Evalian, sees the same challenges from the governance side: 🎥 "Confidentially Yours" with host Mike Bursell (Advisor, Super Protocol) Full episode on AI governance, agentic AI risks, and compliance challenges: https://youtu.be/hcjXNGP6vxQ17,75%
- 12 маяAsk a hospital to run AI on their patient data. The answer is always the same. A hospital, a GPU provider, and a medical AI vendor. Everyone has what the others need and none of them can just hand it over. The hospital won't send data to infrastructure they don't control. The vendor won't expose their model. The GPU provider can't take on liability for what runs on their hardware. The model never runs. The patient never benefits. This is the real reason healthcare AI moves slowly. Not the models. Not the regulations. Trust is a vulnerability. Super Swarm solves it structurally. In this demo we used a model from the Project MONAI Model Zoo – open source, anyone can take it. The data is another story. MONAI, originally started by NVIDIA and King's College London, is the open-source framework for medical imaging AI. Used at Siemens Healthineers, Mayo Clinic, and beyond. Millions of downloads worldwide. We deployed one of those models on Super Swarm. The app segments the spleen from a CT scan, calculates volume and area, and returns the results. What makes it different is the execution environment and the verifiable proof it leaves behind. The computation runs inside a hardware-protected TEE. Patient data is processed within that sealed environment and never exposed to anyone – including us. Whether the infrastructure is public cloud, on-prem, or hybrid. No policy makes that guarantee. The hardware does. At deployment, Super Swarm generates Deployment Evidence – a cryptographic proof of what code is running, in what environment, on what hardware. No compliance reports. No trust agreements. Access is granted only when the proof matches. Ask a hospital to run AI on their patient data. With Super Swarm, the answer changes – wherever you run it. 👉 Scan or click the link to watch the full demo: https://www.youtube.com/watch?v=xXc1jP9zqdg17,59%
- 14 нояб.It's me again, Nukri Basharuli, founder of Super Protocol. In today's post, I want to share how the concept of #decentralized computing is evolving with our #Super #SWARM, and how this technology helps organize trusted #AI at #scale. In my previous post, I mentioned that, from my point of view, computations have the right to be called #decentralized only when they do not depend on the will of any controlling entity to run or not run. Unfortunately, many modern projects call theirs decentralized computing, for example, ordinary #DePINs, where some #hardware is pooled together and called #decentralized #computing. Most often, #nodes belong to specific owners and can be shut down at any time, which destroys the very idea of #decentralization. The essence of #Super #SWARM is a self-organizing network where each node operates independently but can take over tasks of others if they become unavailable. This ensures true fault tolerance and uninterrupted operation. No one and nothing in the network is a single point of control or failure. Today, our infrastructure is #decentralized in the sense that our nodes interact programmatically with each other, providing the necessary #scalability. While traditional clouds use centralized #orchestrators, which create bottlenecks and failure risks, #Super #SWARM has no such orchestrators: each #node controls its part of the system and actively collaborates with neighbors. This eliminates bottlenecks and builds a truly decentralized ecosystem. I also believe that in the future, instead of one universal #AI, there will be many personal #intelligent #agents working anonymously, protecting user data while leveraging joint capabilities. #Super #SWARM is a platform enabling each user to own and control their computations using a secure and #scalable #environment. This is only the beginning of a great #revolution in #decentralized, #confidential, and #trusted #AI. Join us in building a future where technology serves freedom and privacy.16,34%
- 24 апр.Every enterprise AI roadmap has the same graveyard. Partnerships that made obvious sense. Models that would have been genuinely better. Deals that everyone wanted – and nobody could close. The reason is simpler and more frustrating than most people admit: to process data, you have to decrypt it. And the moment it's decrypted, someone on the other side can see it. An admin with the wrong access. A misconfigured bucket. A subpoena nobody anticipated. The exposure doesn't need to be malicious to be real. So the deal goes to legal. Legal adds clauses. IT adds requirements. Security adds reviews. Six months later, you're still negotiating who gets access to what – and you haven't moved a single row. When the next partnership comes, you start from scratch. This is why healthcare AI trains on a fraction of the data that exists. Why bank fraud models stay siloed even when sharing signals would catch more fraud. Why the most valuable collaborations – the ones that need data from more than one organization – are the ones that quietly get shelved. Nobody killed these projects. They just never survived contact with the actual problem. 𝗧𝗵𝗶𝘀 𝗶𝘀 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 #𝟭 𝗼𝗳 𝟰 𝘁𝗵𝗮𝘁 𝗵𝗮𝘃𝗲 𝗸𝗲𝗽𝘁 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗔𝗜 𝘀𝘁𝘂𝗰𝗸. 𝗪𝗲 𝗰𝗮𝗹𝗹 𝗶𝘁 𝘁𝗵𝗲 𝗧𝗿𝘂𝘀𝘁 𝗣𝗿𝗼𝗯𝗹𝗲𝗺. Super Swarm starts from a different premise entirely. Your data goes into a sealed hardware execution environment (TEE) – decrypted only inside a processor that nobody outside can access or inspect. The cloud or infrastructure provider can't see in. Your partner can't see in. We can't either. The obvious question: if nobody can see inside, how do you know what's actually running in there? A black box that keeps attackers out keeps everyone else out too. "Trust us, it's secure" is exactly the kind of answer that got these deals killed in the first place. So before any data moves, every party gets a cryptographic proof of the exact code, configuration, and hardware their data will run on – verifiable over a standard browser connection, nothing to install. The same way your browser checks a website's certificate, except this one proves the entire execution state, not just identity. You check the proof. You decide. If anything changes on the other side – different code, different configuration – the proof changes with it, and you see it before your data goes anywhere. The legal process still takes time. But there's finally a technical answer to the question it could never resolve on its own: how do I know you won't look at my data? The hardware makes it physically impossible – and you verified that yourself, before you sent anything. 𝘗𝘳𝘰𝘣𝘭𝘦𝘮 # 1 𝘰𝘧 4. 𝘕𝘦𝘹𝘵: 𝘺𝘰𝘶 𝘯𝘰 𝘭𝘰𝘯𝘨𝘦𝘳 𝘩𝘢𝘷𝘦 𝘵𝘰 𝘵𝘳𝘶𝘴𝘵 𝘺𝘰𝘶𝘳 𝘱𝘢𝘳𝘵𝘯𝘦𝘳𝘴 𝘰𝘳 𝘵𝘩𝘦 𝘪𝘯𝘧𝘳𝘢𝘴𝘵𝘳𝘶𝘤𝘵𝘶𝘳𝘦. 𝘚𝘰 𝘸𝘩𝘺 𝘴𝘩𝘰𝘶𝘭𝘥 𝘺𝘰𝘶 𝘵𝘳𝘶𝘴𝘵 𝘶𝘴? 𝘚𝘱𝘰𝘪𝘭𝘦𝘳 – 𝘺𝘰𝘶 𝘴𝘩𝘰𝘶𝘭𝘥𝘯'𝘵 𝘩𝘢𝘷𝘦 𝘵𝘰, 𝘢𝘯𝘥 𝘸𝘦 𝘣𝘶𝘪𝘭𝘵 𝘪𝘵 𝘵𝘩𝘢𝘵 𝘸𝘢𝘺.15,65%
- 19 дек.And once again "Behind the Code" with me, Nukri Basharuli, founder of Super Protocol. Let's zoom in on our vector for the next six months: narratives and focus. We're not chasing guides or deep #tech dives. We're mapping the geological shifts in #confidential #computing and #decentralized #AI. Today, I'll share where Super Protocol is heading to dominate this space. In 2025, we laid the foundation. We pushed #Web3 hard, partnering with funds, building recognition, creating buzz that still echoes in Web3 companies. #Web2 advanced too, within our resources. But 2025 was sharper than 2024. We knew exactly what we were building. The coming 2026 demands hyper-focus: large-scale projects that amplify us 10x, 100x. Organic growth won't cut it. My bet? A marquee investor, partner, or industry titan. Secure the round, fuel the strategy. #Web2 #business fits better here. Web3 feels exhausted (beyond BTC, ETH, Ripple, stablecoins; the rest is just noise without real business). Yet Web3 evolves: the bubble bursts, real-economy players enter, #tokenization drives #decentralization. So what's Super Protocol's vector? Real economic sectors at the intersection of #decentralization, #crypto, and #AI. With our resources, we'll anchor 1-2 traction vectors, client pipelines for revenue and cashflow, while hunting a massive domain win. We're in top-tier Silicon Valley talks right now on decentralized, high-performance confidential computing. Domains primed to explode: #defense, #transport, #public #infrastructure. Our infrastructure isn't #viral #apps; it's #scalable, #trustless #enclaves. Our strategy: Build market demand for #confidential #services or become the #industry standard. Recall how Google elevated Android above rivals or OpenAI claimed AI's throne. We need a transformative partner for whom #confidentiality isn't just a feature, but an industry rewire. Venture thrives on big numbers: trillion-scale impact, not kitchen experiments. This is our story and my vision. Super Protocol powers the shift from vulnerable centralized #clouds to ownerless, #verifiable #compute. We're pioneers because #GPUs for confidential #AI matured just recently. The next six months: refine the narrative and gain traction. Сonfidentially yours, Nukri.15,08%
- 30 апр.The first data collaboration works. Then your AI roadmap asks for ten more. One partnership took long enough that everyone forgot how it started – legal, compliance, integration, security review. The model trained, the results were good, and everyone moved on. Then the product team came back with more ideas. Every new partnership becomes its own project – not just operationally, but technically. Even with the same partners, nothing carries over. A new use case means new rules, new pipelines, new approvals. The environment gets rebuilt from scratch. And the environment itself doesn't stay fixed. What starts as a well-defined setup quickly grows – participants, data, objectives, rules, infrastructure – and becomes impossible to standardize or reuse. ▸ No neutral ground A global FMCG brand – selling through multiple retail chains – wants to build audience models across three competing retailers. Each retailer sees part of the customer journey. The brand sees patterns across all of them. The value is in combining those views. They need a shared environment – somewhere all four can bring data without exposing it to each other. But someone has to run that environment. And whoever runs it controls the execution – whether they can see the data or not. No retailer will use a competitor’s infrastructure. No one agrees on a neutral third party. So they negotiate. And negotiate. Sometimes they never get there. The model never gets built. But even when they do – it works once. It doesn’t scale. ▸ Late to the party Another version of the same problem. A fourth organization wants to join six months in. In the old model, that becomes everyone’s problem – new agreements, integrations, security reviews. Or they just don’t join at all. The value is real. Getting there doesn’t scale. This is Problem #3 of 4. The Scale Problem. Super Swarm creates one environment all participants can join – a single trust domain that spans infrastructure, for any use case, at any stage. Each organization stays on its own infrastructure. Data isn’t shared between participants – it only enters the sealed environment for execution and never becomes visible to or controlled by anyone else. A new organization joins – whether they run on AWS, Azure, GCP, private cloud, or their own infrastructure. It doesn’t matter. Same rules. Same verification. No custom integration. No separate agreements. To the workload, it’s one environment – without being tied to where it runs or who operates it. Adding a participant doesn’t create a new project – it extends what already exists. That’s what makes it scale. Problem #3 of 4. Next: The trust domain now spans every infrastructure, every organization. But what happens when AI agents start operating across it at machine speed – and access has to be granted and enforced without human involvement?15,07%
- 4 маяThe system works – until you try to automate it. The trust domain spans every infrastructure, every organization. Data never leaves its sealed environment. Nobody depends on anyone else’s goodwill. And then the product team asks: can we automate this? AI agents are already operating on behalf of organizations – querying data, calling models, chaining actions across boundaries. Not one request at a time. Thousands per hour. A bank deploys a fraud detection agent. It needs to cross-reference transaction patterns across three partner institutions in real time. Each request takes milliseconds. Each approval takes days. The fraud happened. The access request is still pending. The verification model still applies. Sealed hardware. Cryptographic proof. A trust domain that spans every cloud and every data center. But the decision about who gets access can't wait for a human to review it. No administrator can keep up. No approval queue moves fast enough. The same rigor that made the first collaboration work becomes the bottleneck that makes the next hundred impossible. This is Problem #4 of 4. The Access Problem. Super Swarm solves this with policy-driven access. Each data owner defines their conditions once: what code, what configuration, what hardware qualifies to touch their data. When an agent requests access, it presents a cryptographic proof of its runtime environment – the same proof a human would review manually. The system checks it automatically. Match – execution is allowed. No match – nothing happens. No human in the loop. No delay. The data owner’s role is simple: define the policy once. The system enforces it at whatever speed the agents operate. A hospital might set conditions as narrow as a specific model, a specific partner, a specific project. Or as broad as any application running inside verified secure hardware with a certified diagnostic framework. The policy reflects their risk tolerance – not the system’s limitations. Hardware nobody can see into. Proofs that verify in milliseconds. Infrastructure that spans every cloud and every data center. Policies that govern access at the speed AI actually operates. Each piece exists because the one before it made it necessary. None of them works on its own. That’s the system. That’s Super Swarm. 👉 Trust. Control. Scale. Access – full breakdown14,71%
- 17 мар."Confidential Computing is super important." – Jensen Huang, NVIDIA GTC 2026 At GTC 2026, Confidential Computing is placed right at the center of the NVIDIA AI Platform – between Blackwell and Rubin, as part of the foundation. To scale AI globally, you must protect everything – even from the infrastructure operator itself. That's the stack we've been building. Super Swarm: open-source by design, self-organizing CC clusters. NVIDIA provides the hardware. Super makes it deployable – any cloud, on-prem, hybrid, and even air-gapped environments. Verifiable by any party, at any time. 🎥 nvidia.com/gtc/keynote on CC (1:02:30) 🔗 superprotocol.com #GTC2026 #NVIDIA #ConfidentialComputing #TEE #AIInfrastructure #Blackwell #VeraRubin14,35%