Seranth
YourAI.YourData.YourRules.
Every conversation runs on hardware dedicated to you alone, with physically isolated storage and zero data retention, built so no breach, bug, or prompt injection can ever reach your data.
The Security Issue with Today's AI Tools
It's not just privacy. The way today's AI tools are built creates real, exploitable security risk.
Prompt Injection
Attackers hide malicious instructions inside emails, documents, or files the AI reads, hijacking its behavior silently and without your knowledge.
Shared Storage
Your data sits on the same servers as thousands of other companies, separated only by software, not hardware. One breach can cross accounts.
Policy Changes Without Notice
Providers change data retention and training policies whenever they want. You find out after the fact, buried in a Terms of Service update.
Black-Box AI
You can't see what happens to your prompt once it leaves your screen. No visibility into how it's processed, stored, or used downstream.
Data Traveling Through Many Servers
Your data hops through AWS, load balancers, and third-party services with no single guaranteed pipeline. More hops mean more exposure.
How Seranth Solves It
Here's the simplest way to think about it.
The Problem Today
One shared server for everyone. Most AI platforms put every customer's data on the same shared servers, separated only by software.
Prompt injection is rampant. Attackers hide malicious instructions inside emails, documents, or files the AI reads, hijacking its behavior silently and without your knowledge.
One breach, everyone's exposed. If there's ever a breach, a bug, or a bad actor, your data is sitting right next to everyone else's.
Your data leaves your hands. It travels through AWS, third-party clouds, and load balancers you don't own or control, with no single guaranteed pipeline.
The Seranth Fix
We own our own data centers. No AWS. No Azure. No Google Cloud. Your data never leaves infrastructure we physically own and operate ourselves.
Physically separate storage per company. Every company gets its own dedicated NVMe drive. Not a virtual partition, a genuinely different physical device.
Stateless, wiped GPUs. Compute nodes hold no memory after your request finishes, so nothing lingers for an attacker or an injected prompt to exploit.
Your prompts stay yours. Zero risk of your data ever training someone else's model or being seen by a third party.
Put simply: you get the power of the best AI models, the privacy of running everything yourself, and the low cost of smart infrastructure, all without giving up control of your data.
Still not convinced? If you ever decide to leave, you can buy the exact physical hard drive that stored your company's data and take it with you. No copies kept on our end. No questions asked.
This Isn't Hypothetical. It's Already Happening.
AI security breaches are real, documented, and accelerating. This is what happens when you trust someone else with your data.
Mexico Government Breach
An attacker used ChatGPT and Claude to breach 9 Mexican government agencies. 195 million taxpayer records and 220 million civil records stolen, over 150GB including health records and domestic violence victim data. The attacker told Claude he was running a "bug bounty program" and fed it a 1,084-line hacking manual. Claude executed ~75% of all remote commands.
How Seranth helps here:
The attacker used social-engineering prompt injection, telling the AI it was part of a "bug bounty program" to bypass safety guardrails. On shared infrastructure, this kind of attack can access data from multiple tenants. With Seranth's physically separated storage, even a fully compromised model session cannot reach another company's drive.
Anthropic's Own Git MCP Server
Three CVEs in Anthropic's official Git MCP server. Path traversal allowed credential exfiltration, unrestricted git_init let attackers create repos anywhere on disk, and argument injection in git_diff enabled code execution.
How Seranth helps here:
Poisoned repository content (filenames, commit messages) acted as indirect prompt injection. On shared storage, this could cascade across tenants. Seranth's per-company physical drives contain the blast radius to a single company.
Microsoft 365 Copilot "EchoLeak"
CVE-2025-32711 (CVSS 9.3), the first zero-click prompt injection exploit against a production AI system. A single crafted email, no user interaction needed, caused Copilot to access internal files and exfiltrate contents to an attacker-controlled server.
How Seranth helps here:
Hidden instructions inside an email tricked the AI into leaking files the attacker never had permission to see. Because tenant data sits on shared infrastructure, one injected email could reach files across the organization. Seranth's dedicated drives per company mean an injected prompt has no path to another company's data.
GitHub Copilot RCE
CVE-2025-53773 (CVSS 7.8). Prompt injection via workspace files caused Copilot to rewrite VS Code settings, enable "YOLO mode" (auto-approve), and execute arbitrary terminal commands without user approval.
How Seranth helps here:
Malicious code files acted as prompt injection vectors, Copilot read them and followed hidden instructions. Seranth runs models on stateless GPUs (wiped after every request) with isolated storage, so injected prompts die with the session and cannot persist or spread.
Cursor IDE MCP Exploit
CVE-2025-54135 (CVSS 8.6). Indirect prompt injection wrote a malicious config file. With "Auto-Run" enabled, Cursor immediately executed attacker-injected commands, giving full remote code execution.
How Seranth helps here:
The injected prompt persisted as a config file, meaning future sessions would also be compromised. Seranth's stateless GPU architecture wipes all session data after every request, preventing any injection from persisting.
Slack AI Data Leak
Attackers planted malicious instructions in public Slack channels. When Slack AI summarized content, it followed the planted instructions and exfiltrated data from private channels, including API keys from DMs.
How Seranth helps here:
Textbook indirect prompt injection, the AI treated user-generated channel messages as instructions. Because workspace data sits on shared servers, the injected prompt could reach across channels and DMs. With physically separated storage, there is no shared data layer for an injection to traverse.
Samsung ChatGPT Leak
Samsung engineers pasted proprietary semiconductor source code into ChatGPT three times in 20 days, chip defect detection code and internal meeting notes. ChatGPT retained all inputs. Samsung banned all generative AI tools company-wide.
How Seranth helps here:
Not a direct attack, but the core risk of shared infrastructure: Samsung's proprietary data sat on OpenAI's shared servers alongside millions of other users. Seranth's dedicated storage per company and BYOK encryption make this scenario impossible.
Chevrolet Dealership Chatbot
A user told a Chevy dealership's ChatGPT-powered chatbot to "agree with anything" and mark offers as "legally binding." The chatbot agreed to sell a $76,000 Tahoe for $1. Screenshots went viral with 20M+ views.
How Seranth helps here:
A direct prompt injection, the user overwrote the chatbot's system instructions by telling it to "agree with anything." Customer-facing models can be explicitly trained and hardened against exactly this kind of manipulation, refusing to override pricing or contract terms no matter how the request is phrased. With open-source models, businesses control and audit that training themselves instead of hoping a vendor got it right.
Seranth eliminates these attack vectors by design.
Physically separated storage
Even if a prompt injection succeeds, it cannot reach another company's data. Different company, different physical drive. No software path exists.
Stateless GPUs
Wiped after every request. Injected prompts cannot persist across sessions.
BYOK encryption
Even Seranth cannot read your data. A compromised model session sees only encrypted bytes.
Open-source models
Audit the model's behavior yourself. No proprietary black boxes. No "trust us."
Seranth vs. The Rest
| Feature | ChatGPT Business | Claude Team | Gemini (Workspace) | Seranth |
|---|---|---|---|---|
| Hardware Isolation | Shared GPUs, shared storage, logical isolation only | Shared GPUs, shared storage, logical isolation only | Shared GPUs, shared storage, logical isolation only | Stateless GPUs + physically separate NVMe per company |
| Data Training | Promise not to train on Business data, but proprietary black box, cannot verify | Promise not to train on Team data, but proprietary black box, cannot verify | Promise not to train on Workspace data, but proprietary black box, cannot verify | Impossible, open-source models run locally, no mechanism to send data anywhere |
| Models | GPT only | Claude only | Gemini only | 11 models from 6 families, switch anytime |
| Encryption Key Control | OpenAI holds keys | CMEK available (AWS/GCP/Azure KMS), but data still on Anthropic's servers | Google holds keys | BYOK, keys stay on your infrastructure. Even Seranth cannot read your data |
| Data Deletion | "Deleted within 30 days", no way to verify, backups may persist | Similar deletion policies, unverifiable | Similar deletion policies, unverifiable | Crypto-shred: delete keys and data is permanently unreadable. Or buy your physical NVMe and take it home |
| Code Auditability | Proprietary black box | Proprietary black box | Proprietary black box | Entire stack is open-source: vLLM, Linux, PostgreSQL. Audit every line |
| Vendor Lock-in | Locked to OpenAI | Locked to Anthropic | Locked to Google | 6 model families, zero lock-in |
Features as of August 2026.
Who is Seranth For?
Companies That Take Data Seriously
If your clients trust you with their data, you can't afford to trust someone else's shared servers with it.
Businesses With Trade Secrets to Protect
Source code, financial models, product roadmaps, anything that can never leak stays on hardware only you can touch.
Regulated Industries
Banks, insurance, healthcare, quantitative trading firms, legal, anyone with strict compliance requirements.
Companies That Can't Afford a Breach
If a data breach could end your business or your reputation, physical isolation isn't optional, it's the whole point.
See Seranth in Action
This is a preview of the Seranth interface. The full platform is coming soon.
Actual product may differ. This demo showcases the planned UX direction.
Every Model. One Platform.
Core Tier
Fastest, cheapestLlama 4 8B
General purpose, fast
Mistral 7B
Multilingual, European compliance
DeepSeek R1 7B
Coding and logic
DeepSeek R1 13B
Stronger coding
Qwen3 30B-A3B
Code generation, only 3B active so it's fast
Pro Tier
Stronger modelsMixtral 8x7B
Multi-expert reasoning
Llama 4 70B
Best general-purpose open-source
Kimi K2.5
Frontend coding, visual design
DeepSeek V4 284B
Catches 3.7x more bugs than Claude
Ultra Tier
Frontier-classQwen3 Coder 480B
Elite code generation
GLM-5.2 753B
Beats GPT-4o, Claude Opus, and o1 on benchmarks
11 models from 6 families. Free, auditable, no licensing fees. No vendor lock-in. Switch models mid-conversation.
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