Detect
Detect
Real-time classification of every data class per prompt.
Connect Partner
We preventunintended data loss,when employees use AI.
Practical AI Security for the mid-market: we mask sensitive data in real time before it reaches public AI clouds — every prompt checked, GDPR and EU AI Act compliant.
- GDPR · EU AI Act ready
- 100% on-prem optional
- Appliance-first · sovereign
Trusted by
From mid-market to global leaders.
The risk
How your teams use AI today — and what leaves the building with it.
A single prompt can expose more than an attachment. Three risks arise the moment someone hits send.
Data leakage (PII)
Customer data, names and internal details land in public AI clouds in plaintext — irreversibly.
- Personal data leaves the perimeter on send
- No pulling it back — the prompt sits on foreign servers
- Shadow AI: usage with no visibility for IT & compliance
- No masking before transmission to the model
Loss of intellectual property
Source code, contracts and trade secrets cross the perimeter unprotected — and can't be pulled back.
- Source code, contracts, trade secrets in plaintext
- Content can become part of model training
- Competitive risk: typed today, generated tomorrow
- No audit of which IP left the building, and when
Compliance risk
Without an audit trail and governance, there's no proof for GDPR and the EU AI Act — per prompt, per employee.
- No continuous audit trail per AI interaction
- Evidence duty under GDPR Art. 25 & EU AI Act Art. 50
- Accountability per prompt, per employee
- Fine risk without documented governance
The new reality
AI in mid-market: many adopt it, few secure it.
- 70%
- of organizations lack a well-defined AI governance (EY, 2025)
- 20%
- of data breaches involved shadow AI (IBM, 2025)
- 49%
- expect shadow-AI incidents within 12 months (Acuvity, 2025)
- 8.5%
- of all GenAI prompts contain sensitive data (Harmonic Security, 2025)
Our Solution
The AI
Interaction
Firewall.
Connect Partner
Hardware Partner
NVIDIA Connect Program
Connect Partner
As an NVIDIA Connect partner we tune Brane AIF specifically for GPU-accelerated AI inference, local AI workloads and hybrid enterprise architectures.
Through our partnership with NVIDIA in the Connect Program, we gain access to technical resources, developer tools and early insights from the NVIDIA ecosystem. This lets us tune Brane AIF specifically for GPU-accelerated AI inference, local AI workloads and hybrid enterprise architectures.
Keynote
Watch our vision for secure AI
In our keynote we show how Brane AIF lets organisations adopt AI securely, sovereignly and in full GDPR compliance — from the first prompt to complete auditability.
The new reality
AI breaks traditional security.New threats demand intelligent responses.
Classic firewalls control network traffic, DLP inspects files — but AI risk arises the moment of input. Brane AIF analyzes every AI interaction in real time, detects sensitive content in context, masks critical information and creates a verifiable audit trail.
The Brane philosophy
Three principles, one outcome.
Semantic Intelligence
Real-time classification per prompt in under 200 ms — by meaning, not keywords. PII, contracts, code: detected in context, nothing guessed.
Speed
Inline routing between employees and AI cloud. No workflow break, no spinner.
Scale
From 10 to 10,000 employees. Same setup, same audit depth, same performance.
What Brane does
Five functions, one control point between people and cloud AI.
Mask
Mask
Pseudonymization of sensitive entities before cloud processing.
Route
Route
Local-first routing — sensitive classes stay on-prem.
Audit
Audit
Hash-chain trail, audit export (CSV/JSON/PDF), EU AI Act compliant.
Train
Train
Inline hints and sandbox before sending.
Built for AI · enterprise security
Four properties enterprises can build on from day one.
<200ms
Latency
Real-time prompt inspection with no noticeable delay in the workflow.
100%
On-prem optional
Sensitive data can be processed entirely locally, right on the appliance.
EU AI Act
Ready
Verifiable AI interactions through audit logs, pseudonymization and governance.
On-prem
Sovereign by design
Runs on your own hardware, in your jurisdiction — sovereign anywhere, no vendor cloud.
How it works
Five capabilities. One central appliance.
Every step between employee prompt and cloud AI — visible, controllable, auditable.
FeedbackR
Your secure AI assistant.
How can I help?
Example prompt
My name is Laura Schmidt, I live in Munich and my phone number is 0171-1234567. Please summarise my contract V-2024-8891.
Brane sees everything
Brane understands the dimensions of your AI prompts.
PII, intellectual property, contracts, code — all detected and classified in real time. Per prompt. Per employee. Per class.
- PII
- Trade Secrets
- Intellectual Property
- Contracts
- Patient IDs
- Source Code
- Financial Data
- API Keys
Integration
Drops into your stack.
Cloud models, identity, collaboration — Brane slots in as an API gateway or reverse proxy in front of your LLM endpoints. Microsoft 365 integration and Entra ID SSO built in, audit export as CSV/JSON/PDF for your SIEM.
AI-Z Group
Our AI services.
Upskilling, strategy, implementation — we guide you end-to-end on the path to productive AI.
Training
AI Upskilling
AI Upskilling
Practice-oriented training for teams, executives and departments — prompting, tool comparison, GDPR/EU AI Act, department-specific use cases.
TrainingHands-on
See trainingIndustries & Projects
Industries and example applications
LATEST
News & Perspectives
- Agentic Security·The Hacker News
“Phishing 3.0”: Security Researchers Say the Next Wave of Attacks Is Agent Versus Agent
New analysis describes a shift from static phishing emails to AI agents that generate personalized, conversational, multi-channel lures faster than a person — or a traditional filter — can keep up with. A 2026 Dark Reading readership poll found 48% of security professionals now rank agentic AI as the top attack vector of the year, ahead of deepfakes, while independent testing found Microsoft 365 and Google Workspace's built-in email defenses are missing hundreds of phishing messages per 100 mailboxes every month.
Source: The Hacker NewsRead article - Data Breach Costs·helpnetsecurity.com
Data breach cost 2026 averaged $4.99 million, AI attacks ran higher
The 2026 IBM Cost of a Data Breach Report, released this morning and based on Ponemon Institute interviews at more than 600 breached organizations, puts the average breach at $4.99 million — a record, and up more than a tenth year over year. Employees using unapproved AI tools figured in 43% of security incidents, more than double the prior year's share; about half of those incidents ended in data loss or compromise and roughly one in five drew a regulatory fine. Among organizations that suffered an incident involving an AI model or application, 92% lacked role-based access, multifactor authentication or comparable controls on those systems, and close to seven in ten breached organizations h
Source: helpnetsecurity.comRead article - Reverse Information Paradox·techcrunch.com
Microsoft CEO warns AI corrections are quietly leaking enterprise knowledge to model providers
In a widely shared post on July 12, Microsoft CEO Satya Nadella warned that every time an employee corrects an AI model's output, that correction can encode proprietary institutional knowledge that flows back to the AI provider — a dynamic he called the “Reverse Information Paradox.” Nadella argued enterprises are effectively paying for AI twice: once in subscription costs, and again in the competitive value of the data handed over during routine use.
Source: techcrunch.comRead article
Conversion
Start your AI transformation today.
We respond within 24 hours — by name, with concrete suggestions for your use case. Choose a BRANE live demo or a strategic intro call for potential analysis.
CONTACT
Let's get in touch.
Request a demo, book a workflow audit, or just say hello — we reply within one business day.
Or reach us directly at: info@ai-z-group.com
AI-Z GmbH · Königstraße 26 · 70173 Stuttgart · Germany
+49 157 52105947