Bedrock Security, a leader in data security and management, is transforming the way enterprises protect their data with the launch of its revolutionary Metadata Lake technology. This cutting-edge innovation serves as the foundation of the patented Bedrock Platform, offering organizations continuous, automated visibility into their enterprise metadata. By cataloging all data assets—including location, access permissions, sensitivity levels, and more than 50 critical parameters—the platform eliminates blind spots that have long plagued data security.
The Urgent Need for Real-Time Data Visibility
According to the newly released “2025 Enterprise Data Security Confidence Index,” which surveyed over 500 security professionals, more than half (53%) of security teams lack real-time data visibility. Many take days or even weeks to locate sensitive data, a critical vulnerability in an era where cyber threats emerge in minutes. To address these challenges, Bedrock Security is introducing three powerful AI-driven solutions:
- Bedrock Security Metadata Lake Copilot – A smart assistant that enhances metadata analysis.
- AI Agents for DSPM – Automating security workflows for improved risk management.
- Bedrock Free for Snowflake – A complimentary solution helping organizations identify and classify sensitive data effortlessly.
These innovations empower organizations to enforce enterprise-wide data policies and mitigate risks associated with unauthorized AI data usage—aligning with Bedrock’s vision of delivering complete data visibility and control while advancing safe AI adoption and optimized business operations.
Addressing the Growing Complexity of Data Security
“Data growth, cloud modernization, and AI adoption are making it difficult to see, manage, and secure information across distributed environments,” said Bruno Kurtic, CEO and co-founder at Bedrock Security. “Our metadata lake technology eliminates blind spots by putting data at the core of security and data management. By combining scalable discovery, advanced data classification, and entitlement analysis with AI-driven automation, we enable organizations to unify data sensitivity, business context, lineage, and usage insights. This empowers teams to adopt a proactive, data-centric posture even across complex environments so they can innovate faster without increasing risk and drive the business forward efficiently without compromising security or governance.”
A Paradigm Shift in Enterprise Security
With the explosion of data across IaaS, PaaS, and SaaS environments and the rapid adoption of AI-driven applications, traditional infrastructure-centric security models no longer suffice. The “2025 Data Security Confidence Index” highlights that 82% of cybersecurity professionals struggle with discovering and classifying data across various organizational silos—a risk that can no longer be ignored as AI becomes integral to modern business operations.
Todd Thiemann, senior analyst, IAM and data security at Enterprise Strategy Group, noted: “Bedrock Security’s approach addresses a fundamental challenge we see in the market—Enterprise Strategy Group research shows that organizations are increasingly prioritizing DSPM solutions as they grapple with sensitive data growth proliferating across diverse environments, particularly with AI adoption. By shifting from infrastructure protection to data-aware security, organizations can better prioritize risks and remediate based on actual sensitivity and leverage information while maintaining appropriate safeguards. This practical approach strengthens existing security investments with essential context that has been lacking.”
How the Bedrock Platform Delivers Unmatched Data Insights
The Bedrock Platform’s Metadata Lake technology leverages a graph-based backend to create a unified, dynamic repository of enterprise data. This system continuously captures metadata from diverse data sources across SaaS, PaaS, and IaaS environments, providing real-time insights into location, sensitivity, entitlements, lineage, usage, and risk factors. The “2025 Data Security Confidence Index” also revealed that 88% of security professionals view automated metadata lakes as “critical” or “very valuable” in solving visibility challenges.
“The fact that Bedrock can accurately and quickly surface relevant events and security concerns is the biggest win for Strive Health,” said Gabe Stapleton, vice president, security and enterprise technology, and CISO at Strive Health. “Bedrock’s Metadata Lake and Copilot technology make it easy for us to see who has access to what data and track its movement within our environment. Bedrock’s high-quality data discovery allows us to quickly identify and classify sensitive information, ensuring complete visibility into our data landscape. Its ability to detect plain-text secrets helps us prevent accidental exposure of credentials and other critical information. Additionally, Bedrock’s external sharing discovery provides clear insights into where our data is being shared outside the organization. By efficiently managing permissions, we’ve been able to strengthen our security posture significantly.”
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AI-Powered Innovations Driving Next-Gen Data Security
Unlike static data catalogs or fragmented security tools, Bedrock Security integrates AI and cloud-scale architecture to automate data discovery, classification, and risk analysis—constantly enriching its Metadata Lake with actionable intelligence. When paired with security tools like SIEMs, CNAPPs, and DLPs, Bedrock helps security teams:
- Prioritize critical risks by identifying vulnerabilities exposing sensitive data.
- Streamline incident response through real-time metadata analysis.
- Enforce enterprise-wide security policies via an API-first framework.
- Detect and manage sensitive data in AI applications.
Through Bedrock Security’s serverless architecture and Adaptive Scanning technology, organizations gain continuous visibility across petabytes of sensitive data—without the operational costs of legacy security solutions.
Chirag Mehta, vice president and principal analyst at Constellation Research, emphasized: “Organizations often struggle with AI adoption because they lack clear visibility into their data, directly hindering their ability to achieve meaningful business outcomes. By addressing the disconnect between data and its critical metadata context, companies can significantly enhance their security posture and overcome one of the key barriers to effective and secure AI implementation.”
Empowering Businesses with Free and Advanced Security Solutions
Bedrock Security’s expanded platform includes three new capabilities designed to simplify data security management:
- Bedrock Metadata Lake Copilot – An intuitive AI-driven assistant for metadata analysis, enabling teams to quickly answer complex data security questions.
- Bedrock AI Agents – Automated security workflows that proactively identify policy violations and emerging risks, streamlining response actions.
- Bedrock Free for Snowflake – A complimentary solution for Snowflake users to effortlessly discover and classify sensitive data. While the free version provides essential visibility, organizations can upgrade for advanced security insights and automated policy enforcement.
Revolutionizing Data Security for the AI Era
“All enterprise security ostensibly exists to protect data, yet traditional methods focus on perimeters, networks, and endpoints, largely ignoring data because of its exponential growth and rate of change,” added Bruno Kurtic. “Cloud adoption, agile development, and microservices—now compounded by exploding AI adoption—have triggered a surge in complexity and an ever-accelerating pace of transformation in both data ecosystems and business processes. It’s clear we need a new paradigm: the only way to safeguard enterprise data is to find, understand, and protect the data itself. While conventional security solutions remain relevant, Bedrock delivers a petabyte-scale data security solution, including DSPM, and enhances existing security tools by injecting them with rich data sensitivity context, ensuring organizations can secure and manage their information effectively in a rapidly changing environment.”