The rapid embrace of AI tools and models is yielding serious results for businesses across nearly every industry. Advanced and predictive analytics are providing deeper insights into business operations, newer forms of AI, like agentic AI, are transforming customer experiences, and machine learning is streamlining complex processes.
But for businesses in highly regulated industries—financial institutions, healthcare institutions, or any other business that’s subject to added compliance, security, and privacy considerations—the path to AI acceleration has extra obstacles along the way. For many of those highly regulated organizations, it may feel like AI is simply not an option. That, however, does not have to be the case.
Recently, Cloudera partnered with Protegrity, a global leader in data security and privacy, to address those security, compliance, and privacy concerns that leave regulated industries seemingly hamstrung in their adoption of AI.
Capitalize on AI While Maintaining Compliance
Whether it’s a financial firm contending with GDPR and DORA guidelines or a healthcare institution bound by longstanding regulations like HIPAA, non-compliance is an extremely dangerous prospect.
Adherence with regulatory guidelines isn’t just a security issue. Failure to stay in compliance can bring serious financial and operational consequences that set the business back. Cloudera and Protegrity’s collaboration simplifies governance and auditability, helping streamline protection at scale while reducing operational complexity and costs. For organizations navigating highly regulated environments, this means the ability to innovate securely while ensuring adherence to evolving standards.
Unlike other platforms that require data movement to centralized locations, Cloudera enables businesses to apply AI directly to their data, wherever it resides—in clouds, data centers, or at the edge. That means organizations can avoid the added risk and complexity that comes with moving data from one location to another in order to feed an AI initiative.
And now, the partnership with Protegrity adds advanced data protection tools, such as vaultless tokenization, format-preserving encryption (FPE), dynamic data masking, and anonymization. These tools integrate seamlessly with Cloudera’s platform, enabling organizations to secure sensitive data while applying AI. For example, a financial institution using Cloudera can tokenize customer data with Protegrity’s solutions, ensuring compliance with GDPR while running predictive analytics in real time.
Partnering to Enhance Data Protection Across Environments
Cloudera and Protegrity bring a deep understanding of the data challenges that face highly regulated businesses, and together provide the heightened level of support and security to unlock the full potential of proprietary data without increasing risk exposure.
Cloudera’s enterprise data platform and Protegrity’s robust data protection enable highly regulated organizations to adopt AI, machine learning, and cloud analytics while ensuring compliance and data protection. These businesses can securely share and analyze sensitive information across teams and third parties, generating and harnessing richer insights and making real-time decisions without compromising trust.
Facing a heightened regulatory and compliance burden doesn’t have to mean sacrificing on the benefits of AI, machine learning, and advanced analytics. As the only data and AI platform company that large organizations trust to bring AI to their data anywhere it lives, Cloudera and its partner ecosystem deliver the security and scalability needed to support any enterprise.
Learn more about how Cloudera, and its partners, can secure AI and advanced analytics for highly regulated industries.
