Introduction to Bedrock Data

Enterprises face unprecedented data sprawl, fueled by cloud adoption and AI workloads, yet according to the Bedrock 2025 Enterprise Data Security Confidence Index, 82% of cybersecurity professionals report data visibility gaps. This complexity challenges cybersecurity, compliance, and data management teams, as regulators (SEC, GDPR, HIPAA, PCI DSS) tighten breach reporting rules, and 65% of security teams require days or weeks to locate sensitive data. Traditional DSPM tools fail to scale in cloud and AI-driven environments due to their reliance on static, rule-based classification. Bedrock delivers unified, AI-driven data security that enables Security, GRC, and Data Management teams to share real-time insights. Its integrated Metadata Lake continuously captures data context—location, sensitivity, usage, and entitlements—enabling you to dynamically monitor data, assess risk, enforce policies, and automate security workflows, ensuring your data ecosystem remains both secure and compliant.