Blogs and research
Confidencial wins the CyberSecurity Breakthrough Award for Encryption Innovation, validating selective encryption as the new standard for protecting sensitive data in the AI era.
Read more >Cybersecurity in insurance is accelerating in 2025. Discover how AI adoption, third-party risk, and Zero Trust gaps are reshaping data protection — and what insurers must do to stay compliant, secure, and competitive.
Read more >NIST Privacy Framework 1.1 introduces governance as a standalone function, explicit references to AI privacy risks, and closer alignment with NIST CSF 2.0. Learn the key changes and why they matter.
Read more >Explaining why AI governance fails without robust upstream data governance and how to implement technical enforcement.
Read more >Key takeaways from ILTACON 2025, including the rise of real-world AI use, the sprawl of legal data, and the need for enforceable governance across legal workflows.
Read more >Why user training alone isn’t enough to defend against modern cyber threats—and how frictionless, automated data protection flips the model.
Read more >In 2025, legal teams face rising risk from cloud adoption, GenAI misuse, and regulatory enforcement. This post outlines three urgent trends that demand a new model of data protection—one that's embedded, persistent, and ready for modern legal workflows.
Read more >A concise guide to five standout sessions at ILTACON 2025 focused on practical AI adoption, frictionless security integration, and meaningful legal innovation—not hype.
Read more >Discover how metadata powers data protection, from governance to selective encryption. Learn how to secure unstructured data for AI, RAG, and compliance.
Read more >An analysis of why traditional ZTNA is insufficient and how to implement Data-Centric Zero Trust for persistent protection.
Read more >Insider risk is a common threat, especially to data protection. While solutions are always complex, solid encryption goes a long way.
Read more >An analysis of why legacy visibility-only DSPMs are insufficient for modern AI and cloud security challenges.
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