Introducing Zylox: Private AI for Confidential Work

Public AI was built to learn from data. Zylox was built to protect it.

We are excited to officially introduce Zylox: a 100% private, sovereign AI workspace created specifically for confidential and sensitive work.

In an era where generative AI adoption has exploded, so have the risks. Recent reports show organizations facing hundreds of AI-related data security incidents per month. Employee prompts leak proprietary information, model memorization exposes training data patterns, and shadow AI tools operate completely outside visibility. High-trust teams (founders reviewing investor decks, legal drafting sensitive agreements, finance modeling M&A scenarios, R&D handling IP) simply cannot use mainstream tools without self-censoring or risking exposure.

You deserve better.

The Problem in 2026

Enterprise surveys continue to highlight alarming trends:

  • Data leakage through generative AI remains widespread: 68% of organizations have experienced data leakage incidents related to employees sharing sensitive information with AI tools.[1]

  • Shadow AI (unauthorized personal tools) drives many insider incidents, often involving regulated or confidential data: nearly half (47%) of generative AI users still rely on personal AI applications outside organizational control.[2]

  • The average organization now records around 223 GenAI-linked data policy violations each month.[2]

  • Agentic and autonomous AI systems can leak thousands of records quickly if misconfigured: meanwhile, 39.7% of AI interactions expose sensitive data.[3]

  • Traditional cybersecurity falls short against zero-click exploits, adversarial prompts, and data poisoning that silently undermine AI outputs.

Public clouds retain prompts for improvement, mix tenant data in shared infrastructure, and create unavoidable compliance nightmares under evolving regulations. The result? Teams either limit AI use severely or avoid it for anything truly important.

What Zylox Actually Is

Zylox is not another wrapper around public models with "better privacy prompts." It is a fundamentally different architecture built from the ground up for sovereignty and confidentiality:

  • On-device encryption: Data is encrypted before it ever leaves your environment.

  • Isolated, ephemeral compute: Every session runs in temporary, air-gapped secure enclaves that are destroyed immediately after use. Nothing persists beyond your control.

  • Zero retention by us: We never see, store, train on, or mix your data across users. Improvements and context stay exclusively yours.

  • Private persistent memory: Full context across documents, chats, and projects without ever sending raw content to external providers.

  • Multi-workspace isolation: Separate secure environments per client, project, department, or deal. True data silos enforced at the infrastructure level.

This means you can ask real, unfiltered questions about board packs, legal clauses, financial models, source code, HR files, or strategic plans without hesitation.

Key Benefits at a Glance

  • Ask anything about sensitive files without holding back

  • Maintain long-term context across sessions and documents

  • Run multiple isolated workspaces with strict boundaries

  • Achieve true data sovereignty: your insights and refinements remain private

  • Built from day one for founders, legal, finance, compliance, R&D, and high-trust teams

Public AI vs. Zylox (Quick Comparison)

Aspect

Public AI Tools

Zylox

Data Handling

Retained, potentially trained on

Encrypted, ephemeral, never retained

Context Persistence

Limited or shared across users

Private, persistent, yours alone

Exposure Risk

High (prompt leakage common)

Near-zero by design

Sovereignty

Provider-controlled

User/sovereign-controlled

Use Case Fit

General knowledge work

Confidential and sensitive work


Where We Go From Here

We are just getting started. Early access is open now to a select group building with confidential data at the core of their work.

If you are tired of choosing between powerful AI and actual security, request a demo today at zylox.ai.

Expect more from us soon: deep dives into our encryption and isolation model, real-world case studies from early users, comparisons with emerging regulations, and updates on how we are evolving for agentic workflows without compromising privacy.

Thank you for reading. Welcome to secure AI that finally puts control back where it belongs: with you.

The Zylox Team

References

[1] Metomic, "2025 State of Data Security Report" (April 2025) – https://www.metomic.io/resource-centre/metomic-finds-ai-data-leaks-impact-68-of-organizations-but-only-23-have-proper-ai-data-security-policies

[2] Netskope, "Cloud and Threat Report: 2026" – https://www.netskope.com/resources/cloud-and-threat-reports/cloud-and-threat-report-2026

[3] Cyberhaven, "2026 AI Adoption & Risk Report" (February 2026) – https://www.cyberhaven.com/resources/report/ai-adoption-risk-report-2026