Toronto, Canada – [February 20, 2025] – Private AI, a leader in privacy-preserving artificial intelligence, is proud to announce its integration with NVIDIA NeMo Guardrails to bring advanced privacy and compliance capabilities to enterprises leveraging large language models (LLMs), enabling them to unlock the potential of generative AI while safeguarding sensitive data.
Three of the top four things holding organizations back from deploying Generative AI tools are risk, regulation, and governance issues. Many are still challenged to successfully scale—nearly 70% of organizations have moved 30% or fewer of their generative AI experiments into production. However, generative AI remains a priority. For example, the global market of Generative AI in healthcare was USD 1.8 billion in 2023, and it is expected to reach USD 20.2 billion by 2032.
Generative AI offers transformative potential but poses challenges with unstructured data containing PII, PHI, or proprietary insights. While regulations like HIPAA mandate specific data best practices for healthcare organizations, these requirements can serve as valuable guidelines for any organization seeking to mitigate risks when working with sensitive data.
“Our integration with NVIDIA NeMo Guardrails bridges the gap, delivering privacy compliance without compromising AI’s transformative potential,” said Patricia Thaine, CEO & Co-Founder of Private AI.
Private AI’s PII detection and data sanitization technology is now available as an official plugin within NVIDIA NeMo Guardrails, bringing additional options for NeMo Guardrails users to:
- • Unlock the Power of Unstructured Data: The integration supports organizations in processing sensitive data—from emails and call transcripts to medical records—while maintaining privacy and security.
- • Bolster Enterprise Deployment: Private AI ensures flexibility for high-security environments, including air-gapped deployment, and is available as a hosted or containerized solution.
- • Simplify Privacy Compliance: With Private AI’s advanced detection and anonymization tools, enterprises can confidently comply with stringent privacy regulations throughout the LLM lifecycle.
The integration is particularly impactful for highly regulated industries like healthcare. By combining NeMo Guardrails with Private AI’s privacy expertise, enterprises gain a competitive edge through:
- • Enhanced PII Detection: Private AI’s multilingual and multimodal support and its customizable capabilities extend beyond standard PII detection tools, ensuring precision and comprehensiveness.
- • Seamless Workflow Integration: Prompts and responses are sanitized in real-time as they pass through NeMo Guardrails, supporting safe, large-scale AI adoption. The solution constantly evolves as regulations, state-of-the-art technology, and best practices continue to advance, ensuring your workflows remain both secure and cutting-edge.
- • First-Mover Advantage: Enterprises leveraging this integrated solution can confidently innovate while staying ahead of regulatory demands, with Private AI ensuring they remain compliant with the latest standards.
With global regulatory scrutiny intensifying and the demand for AI innovation growing, this collaboration assists enterprises seeking to embrace AI responsibly. By addressing privacy and trust barriers head-on, Private AI’s use of NVIDIA NeMo Guardrails further empowers organizations to access the full value of their data without compromising compliance or security.
About Private AI
Private AI empowers organizations to unlock the full potential of their unstructured data while safeguarding user privacy and meeting stringent compliance requirements. Our advanced single API automatically detects, helps manage, and ensures that sensitive information, including personally identifiable information (PII) and protected health information (PHI), is securely removed, enabling organizations to leverage their data for AI-driven insights, research, and innovation.
By providing seamless integrations and actionable solutions, Private AI helps healthcare providers, pharmaceutical companies, and researchers transform data into valuable insights to improve patient outcomes, accelerate drug discovery, and drive operational efficiencies—all while maintaining the highest standards of data privacy and security.
