Key Takeaways AI performance depends on the quality, accessibility, and organization of the enterprise data it can access. Dark data becomes a greater risk as AI systems make hidden information easy to discover. Access controls cannot identify sensitive information hidden inside documents that users and AI systems can access. Sensitive data discovery, context-aware classification, and remediation should be part of … Read More
Use AI Without Violating Data Privacy Laws (2026 Guide)
2026 was supposed to be the “Year of the AI Agent,” where Large Language Models (LLMs) handle everything from corporate research to automated customer support. However, for many organizations, that promise has been stalled by a sobering technical truth: AI bots are data sponges. Whether your team is summarizing documents in ChatGPT, analyzing datasets in Copilot, or fine-tuning a proprietary … Read More
