Bedrock Security has unveiled its groundbreaking metadata lake technology, significantly enhancing data security for enterprises. This innovative approach acts as a centralized repository, integral to the patented Bedrock Platform, and focuses on improving continuous visibility across enterprise metadata. The technology automatically catalogs data, detailing its existence, location, accessibility, sensitivity level, and over fifty other parameters, facilitating efficient tracking of sensitive data. This advancement addresses critical issues in data security, providing real-time insights into data discovery and classification processes, and eliminating blind spots that could pose significant risks.
Addressing Visibility Challenges
A recent survey among more than 500 security professionals highlights a concerning problem: over half of security teams lack real-time visibility into data. Most teams need days or even weeks to locate sensitive data assets, a delay that can heighten risks when threats emerge in mere minutes. Bedrock Security’s metadata lake technology tackles this problem by enabling real-time insights into data existence and accessibility. By eliminating blind spots, the technology enhances the processes of data discovery and classification, ensuring that organizations can effectively track their sensitive data.
Moreover, this capability not only reduces the risk exposure for enterprises but also optimizes the entire security posture. Real-time visibility means that security teams can respond to incidents promptly and accurately, mitigating potential damage. This level of efficiency is crucial in today’s fast-paced digital environment, where threats are constantly evolving and organizations must stay ahead of potential breaches. Bedrock Security’s metadata lake technology ensures that data is not just visible but is categorized and understood in the right context, enhancing overall security measures.
Innovative AI-Powered Solutions
To further advance data security posture management (DSPM), responsible AI, and data governance, Bedrock Security has introduced three new AI-powered products: Bedrock Security Metadata Lake Copilot, AI Agents for DSPM, and Bedrock Free for Snowflake. These solutions aim to help organizations enforce enterprise-wide policies, prevent unauthorized use of data in AI technologies, and optimize business outcomes. By integrating AI-driven tools, Bedrock simplifies data discovery, classification, and governance processes, providing a comprehensive approach to modern data security challenges.
Bruno Kurtic, CEO of Bedrock Security, underscores the increasing difficulty in managing data due to growth, cloud modernization, and AI adoption. The metadata lake technology centralizes data, enabling scalable discovery, advanced classification, and entitlement analysis. This technological transformation allows organizations to unify insights regarding data sensitivity, business context, lineage, and usage, fostering innovation while maintaining robust security and governance. This shift in strategy positions Bedrock Security as a pioneer in transforming data management and protection, effectively addressing the complexities introduced by AI and data proliferation.
Shifting to Data-Aware Security
Traditional approaches to infrastructure protection are becoming increasingly inadequate due to exponential data growth and the widespread adoption of AI applications. A survey indicates that 82% of cybersecurity professionals face significant gaps in finding and classifying organizational data across diverse environments. These gaps pose considerable risks as AI technologies gain prominence in modern business strategies. Bedrock Security’s approach addresses this challenge by moving from infrastructure protection to data-aware security, enabling organizations to prioritize risks based on data sensitivity and maintain appropriate safeguards.
This paradigm shift emphasizes the importance of understanding and managing data at its core rather than focusing solely on peripheral defenses. By prioritizing data-aware security, organizations can better allocate resources to high-risk areas, ensuring that sensitive information is protected effectively. This approach is particularly critical in environments where data volumes are rapidly increasing and where the dynamic nature of data requires agile and adaptive security measures. Bedrock Security’s innovative technology and strategic shift highlight the growing need for data-centric security solutions in today’s digital age.
Expert Endorsements
Industry experts, including Todd Thiemann, senior analyst at Enterprise Strategy Group, support Bedrock Security’s transformative approach. Research indicates that organizations are prioritizing DSPM solutions to manage sensitive data growth efficiently, especially with the rising adoption of AI technologies. By leveraging data-aware security, organizations can improve risk prioritization and remediation processes, ensuring that information remains secure while being utilized effectively. This endorsement underscores Bedrock Security’s vital role in shaping the future of data protection and management.
With expert insights validating Bedrock’s methods, it becomes evident that a shift towards data-centric security is essential for modern enterprises. This approach not only enhances the protection of sensitive data but also contributes to more informed decision-making and strategic planning. The focus on real-time visibility, automated processes, and AI integration ensures that organizations can navigate the complexities of data security with greater confidence and precision. As more businesses adopt this model, Bedrock Security’s influence in the industry is likely to grow, setting new standards for data protection.
Core Technology of Metadata Lake
At the heart of Bedrock Security’s platform lies its core innovation—the metadata lake technology, a dynamic repository powered by a graph backend. This technology catalogs and connects all enterprise data stores across SaaS, PaaS, and IaaS environments, providing continuous insights into data location, sensitivity, entitlements, lineage, usage, and risk. According to the survey, 88% of respondents consider an automated metadata lake either critical or very valuable for resolving data visibility issues.
Unlike static data catalogs or siloed tools, the metadata lake utilizes AI and cloud-scale architecture to automatically discover, classify, and gather data risk context. This continuous expansion of knowledge within the metadata lake allows Bedrock Security to offer unparalleled insights into enterprise data, integrating seamlessly with security tools such as SIEMs, CNAPPs, and DLPs. This integration helps prioritize critical risks, target vulnerabilities exposing sensitive assets, and improve incident response. Bedrock’s API-first approach ensures that teams can implement uniform policies across the enterprise infrastructure, detect sensitive data in AI initiatives, and innovate quickly while minimizing risks.
Advanced Governance and Policy Implementation
Bedrock Security’s API-first approach allows teams to implement uniform policies across the enterprise infrastructure. This method is crucial for ensuring sensitive data detection in AI initiatives and enabling least-privilege access. Furthermore, it supports rapid innovation while minimizing risks—a vital aspect for modern businesses navigating complex digital environments. Bedrock’s serverless architecture and Adaptive Scanning technology enable continuous visibility of sensitive data across hundreds of petabytes without incurring high operational costs.
These technological advancements are essential as organizations frequently struggle with AI adoption due to a lack of clear data visibility. This hindrance can limit meaningful business outcomes and prevent effective security postures. Chirag Mehta, VP and principal analyst at Constellation Research, emphasizes the importance of addressing the disconnect between data and its metadata context to enhance security posture and facilitate secure AI implementation. This approach ensures that security measures are both comprehensive and adaptive, catering to the evolving needs of contemporary business landscapes.
Simplifying Data Discovery and Classification
Bedrock Security’s new AI-powered tools further simplify the processes of data discovery, classification, and governance. The Metadata Lake Copilot allows teams to interact with the metadata lake, answering complex questions about their data—from identifying sensitive assets to pinpointing the riskiest users. This tool enhances the accessibility of valuable insights, making it easier for security teams to make informed decisions and implement effective protection measures.
Similarly, AI Agents automate security workflows by analyzing the metadata lake for policy violations and new risks. These agents provide essential context, anticipate critical follow-up questions, and streamline incident response. By guiding users through resolution workflows with relevant context and initiating next steps, AI Agents improve the efficiency and effectiveness of security operations. Additionally, Bedrock Free for Snowflake helps users begin with automated identification of sensitive data, offering enterprise-grade data discovery and classification capabilities. Upgrading to the full version provides advanced entitlement chain and usage analysis, automated policy capabilities, and more, delivering immediate value to organizations managing large data volumes.
Addressing Data Security Challenges
Bedrock Security’s paradigm shift in data security emphasizes finding, understanding, and protecting data itself rather than relying on traditional methods focusing on perimeters, networks, and endpoints. This approach integrates DSPM to enhance existing security tools, enriching them with rich data sensitivity context and ensuring effective management and security of information in rapidly changing environments. The company’s strategy aligns with the evolving needs of modern businesses, providing a robust framework for navigating the complexities of data security and AI adoption.
Bedrock Security’s solutions ensure that organizations can manage the exponential growth of data effectively, maintaining security and governance while fostering innovation. By focusing on real-time visibility and automated processes, Bedrock helps enterprises mitigate risks and optimize business outcomes. This comprehensive approach to data-centric security showcases the company’s commitment to addressing contemporary challenges and setting new standards in the industry, making it an essential partner for businesses adapting to the digital age.
Availability
Bedrock Security has introduced its groundbreaking metadata lake technology, which significantly boosts data security for businesses. This innovative solution functions as a centralized repository and is a key component of the patented Bedrock Platform. The primary aim is to enhance continuous visibility across enterprise metadata. The technology automatically catalogs information, providing details about its existence, location, accessibility, sensitivity, and over fifty other parameters. This detailed tracking of sensitive information facilitates efficient monitoring and management. This significant advancement resolves critical issues in data security by offering real-time insights into data discovery and classification processes, effectively eliminating potential blind spots that could pose serious risks. By providing such comprehensive metadata management, Bedrock Security’s technology ensures that enterprises can maintain a higher level of data protection and oversight, making it an essential tool for modern data security strategies.
