The Challenge: Productivity vs. Security
Blocking AI reduces productivity. Allowing uncontrolled AI creates security risks. Dvina solves both with an approved AI platform that meets enterprise requirements.
AI tools like ChatGPT and Claude promise massive productivity gains, but for IT and security teams, they often represent uncontrolled data exfiltration, compliance violations, and intellectual property leakage.
When organizations respond by banning these tools, employees often use them anyway. This creates Shadow AI: unauthorized tools processing corporate data outside IT visibility and control.
The Real Risks of Shadow AI
Data Leakage: Confidential PII, proprietary code, and strategic plans are often pasted into public AI services that use this data for model training.
Compliance Violations: Processing citizen data in unapproved systems violates regulations like GDPR, risking heavy fines and reputational damage.
Intellectual Property Loss: Critical trade secrets shared with public AI can become part of training datasets accessible to third parties.
Zero Visibility: Without an audit trail, organizations have no record of what data was shared or who accessed it.
Why Banning AI Fails
Simply saying "no" drives AI usage underground. Employees feel handicapped by restrictions and will eventually seek workarounds to maintain their competitive edge. Banning AI leads to:
Productivity Stagnation: Manual tasks that could take minutes take hours.
Talent Attrition: Modern workers expect modern tools; restrictive policies make organizations less attractive.
Innovation Gap: Organizations miss out on new, AI-driven ways of solving business problems.
The Dvina Solution: Secure, Enterprise-Grade AI
Dvina eliminates the shadow AI dilemma by providing a platform that meets both employee needs and organizational security requirements.
Approved AI Teams Love to Use
Deep Integrations: Connect with 120+ enterprise tools (Salesforce, Slack, SharePoint, Databases).
Custom Minds: Role-specific AI assistants tailored to department workflows.
Authoritative Data: Natural language access to your own fragmented data across the organization.
Enterprise Governance & Data Sovereignty
PII Detection & Masking: Our systems automatically mask personal identifiers before they are processed by AI models.
No Model Training: Your data is never used to train global LLMs. We utilize secure Microsoft Azure AI environments.
Encrypted & Localized: Data is stored in encrypted formats within GDPR-compliant regions (EU/Germany).
On-Premise & Local Models: For organizations with strict data residency requirements, Dvina offers on-premise deployment and support for local LLMs (Large Language Models) that run entirely within your own air-gapped or private cloud infrastructure.
Full Audit Trails: Complete visibility and logging for all AI interactions and data access.
The Bottom Line
Shadow AI is a gap between productivity needs and IT approval. Dvina closes that gap by offering a secure, compliant, and powerful workspace that eliminates the incentive for unauthorized tool usage.
Stop shadow AI. Enable secure AI. Maintain productivity.