It’s no secret that the healthcare sector is a prime target for cyber-attacks. Research shows healthcare organizations in the US experienced 1,426 attacks per week in 2022 – up 60% from the year before. But while healthcare companies spend their limited resources and time shielding patient health information (PHI) from external threats, they forget that […]| Polymer
NIST's AI Risk Framework: A roadmap to ethically navigate AI. Ensure safety, fairness & accountability in your AI journey!| Polymer
Under HIPAA, non-covered entities must ensure the products and services they use don’t compromise patient privacy. Learn how this applies to cloud apps.| Polymer
Discover how to enable Generative AI usage in your organization without crossing compliance boundaries. Learn about regulations, compliance obligations, and how Polymer DLP for AI can help you meet data security and compliance requirements.| Polymer
Generative AI is accelerating innovation, but at what cost? From accidental data leaks to supercharged cyber-attacks, it poses as many risks as it does opportunities.| Polymer
Is your company using generative AI? Learn how to stay GDPR-compliant and avoid data privacy issues with these eight crucial steps.| Polymer
Learn about the security risks associated with sharing confidential data with generative AI and how organizations can protect themselves.| Polymer
Explore the obstacles in front of DLP for AI solutions, why context matters, and how to get started with cloud DLP| Polymer
Does your DLP solution protect against data leakage and theft in generative AI platforms like ChatGPT? Find out here.| Polymer
Natural language processing (NLP) is a powerful tool in identifying sensitive data element, especially unstructured datasets common for HIPAA| Polymer