End shadow AI chaos. One governance layer across all departments, all AI tools, all use cases.
What keeps enterprise technology leaders up at night
Employees are using ChatGPT, Claude, Gemini without IT knowledge. Confidential data is being pasted into unknown systems daily.
Legal has one AI policy. Marketing has another. Engineering does whatever works. No unified governance across the organization.
Every department has their own AI subscriptions. API costs are unpredictable. Nobody knows total enterprise AI spend.
What AI is being used? For what? With what data? Most enterprises cannot answer these basic questions.
How an enterprise deploys unified AI governance
Your infrastructure. Your data. Unified governance.
AWS, Azure, GCP, on-prem
Consolidated or per-department
Never transmitted externally
Your retention, your control
HyperNet + CCW + AI³
Industry-specific starting points
SSO, DLP, SIEM connectors
We never see your content
Built for enterprise governance requirements
Security, availability, confidentiality. Complete audit trails. Access controls.
Information security management. Risk assessment. Continuous improvement.
Data protection by design. Purpose limitation. Right to explanation.
EU AI Act aligned. Model cards. Bias testing. Transparency requirements.
Schedule an enterprise-focused demo with your IT and governance team.