Provides a data security platform that uses patented AI-driven discovery and classification technology to identify, monitor, and protect sensitive data across cloud, SaaS, and on-premises environments. It reduces risks from unauthorized access, data exposure, and compliance failures by enabling real-time visibility, policy enforcement, and automated threat response without moving data outside the enterprise.
Funding
$20M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
GFounders
Product
Problem
Organizations struggle to maintain comprehensive visibility and control over sensitive data spread across diverse cloud, SaaS, and on-premises environments. This lack of visibility increases the risk of unauthorized access, data breaches, compliance violations, and intellectual property leakage, especially with the rise of GenAI applications.
Solution
Bedrock Security offers a data security platform that leverages patented AI-driven discovery and classification technology to identify, monitor, and protect sensitive data across hybrid environments. The platform provides complete visibility into data access and usage, enabling consistent policy enforcement and automated threat response without requiring data to leave its environment. By contextualizing data and understanding its lineage, Bedrock Security helps organizations proactively reduce data risk, ensure compliance, and prevent unauthorized access or misuse, including within GenAI models.
Target Audience
Bedrock Security targets organizations in regulated industries such as financial services, healthcare, and biotechnology, as well as technology companies seeking to protect their intellectual property and maintain a strong security posture.
Features
- AI-powered data discovery and classification engine for identifying sensitive data at scale
- Automated data lineage mapping to track data flow and transformations across environments
- Comprehensive data access and usage monitoring to detect anomalous activity and unauthorized access
- Policy enforcement and trust boundary management to control data movement and access
- AI Reasoning Engine (AIR) for proactive risk reduction through behavioral analysis
- Integration with SIEM, CNAPP, and other security tools for enhanced data contextualization
- Support for various cloud platforms (AWS, Azure, Google Cloud), SaaS applications (Microsoft 365, Google Workspace), and data stores (Snowflake, MongoDB, Databricks)
- Data Bill of Materials for a comprehensive inventory of data assets