Secure AI starts with trusted data across the enterprise
Hidden data risks can stall AI progress
AI initiatives depend on data, but many organizations lack visibility into where sensitive information resides and how it is being used. Personal information, healthcare records, financial data, intellectual property, and AI training data are often distributed across cloud platforms, SaaS applications, edge locations, and on-premises environments with inconsistent governance and protection.
As organizations expand AI adoption, these challenges become more significant. Poorly governed data can increase security exposure, create compliance risks, and reduce confidence in AI outcomes. Without a strong data foundation, many organizations struggle to move AI projects beyond experimentation and into production.
Turning data risk into AI readiness
The solution combines complementary capabilities from HPE, NVIDIA, Fortanix, and BigID to help organizations discover, understand, and secure the data that powers AI.
BigID continuously discovers, classifies, and risk-scores sensitive data across structured and unstructured environments, providing visibility into data sources, AI models, training artifacts, and AI pipelines across hybrid environments. With a clearer understanding of how information is stored, accessed, and used, organizations can improve data quality and establish a stronger foundation for responsible AI initiatives.
Fortanix extends these insights with automated encryption, tokenization, de-identification, secrets management, key management, policy enforcement, and audit-ready reporting. As sensitive information is identified, protection policies can be automatically applied to data at rest, in motion, and in use, helping reduce exposure to security threats while preserving the usability of information for AI, analytics, and business applications.
Consistent policy enforcement and detailed audit trails help simplify compliance with frameworks such as GDPR, HIPAA, PCI DSS, CPRA, and NIST.
Together, BigID and Fortanix create an automated framework that transforms data intelligence into protection, enabling organizations to accelerate AI adoption with greater confidence, stronger security, and improved operational efficiency.
Putting data protection into action
Organizations can identify sensitive training data, automatically apply protection controls, and maintain governance from model development through inference and deployment. The same approach helps modernize data privacy programs by automating the discovery and protection of personally identifiable information and other regulated data across enterprise environments.
With continuous policy enforcement and detailed audit trails, organizations can simplify compliance reporting and demonstrate adherence to regulatory requirements. Consistent visibility, classification, and protection policies extend across on-premises, cloud, and edge environments, helping organizations manage information wherever it resides while reducing operational complexity.
Enterprise infrastructure built for trusted AI
This solution runs on enterprise-proven HPE infrastructure designed to support secure, scalable AI operations.
HPE ProLiant Compute platforms provide the performance, security, and operational simplicity required for AI workloads. Combined with NVIDIA accelerated computing, organizations can efficiently support AI model development, inference, analytics, and data-intensive workloads at enterprise scale. HPE ProLiant Compute also delivers built-in security capabilities and AI-driven management that help simplify operations and strengthen resilience.
HPE Alletra Storage MP B10000 provides scalable, resilient storage services for the data that powers AI. Its disaggregated scale-out architecture enables organizations to independently scale performance and capacity while delivering cloud-managed operations, cyber resilience, and guaranteed data availability for mission-critical environments.
This solution can also be deployed on HPE Private Cloud AI, a turnkey AI factory co-developed with NVIDIA as part of the HPE AI Factory with NVIDIA, providing organizations with a validated foundation for secure AI operations.
Together, HPE ProLiant Compute, NVIDIA accelerated computing, and HPE Alletra Storage MP B10000 provide a secure, high-performance foundation for governing, protecting, and activating data for AI.\
A faster path from pilot to production
This solution is part of the HPE Unleash AI ecosystem, a curated community of software innovators and technology partners focused on accelerating enterprise AI outcomes.
Unleash AI brings together HPE infrastructure, NVIDIA acceleration, and validated partner solutions to help organizations move from pilot to production faster. Rather than assembling disconnected technologies, customers gain access to solution-led AI architectures that reduce integration risk, simplify deployment, and accelerate time to value.
The program focuses on delivering production-ready AI solutions that reduce integration complexity, accelerate deployment, and help organizations achieve business outcomes faster.
Built for organizations that can’t afford to get AI wrong
Whether protecting customer information, safeguarding intellectual property, or governing data used to train and power AI systems, organizations need confidence that sensitive information remains secure and under control.
HPE, NVIDIA, Fortanix, and BigID deliver a unified approach to discovering, understanding, and protecting data across hybrid environments. By connecting data intelligence with automated protection, organizations can strengthen security, simplify compliance, reduce risk, and confidently scale AI initiatives built on trusted data.
