Platform Overview
Bedrock is a cutting-edge data management and security platform built on patented data discovery and classification technology.
Bedrock Metadata Lake
The platform aggregates over 50 metadata types, including data sensitivity, usage patterns, access history, residency, and service vulnerabilities, to enable deep contextual understanding and drive precise risk analysis.
Discovery
Bedrock’s discovery engine continuously scans your SaaS, IaaS, and on-prem environments to identify all data assets—structured, semi-structured, and unstructured, ensuring nothing remains hidden, unmanaged, or out of policy scope.
Classification
Bedrock applies AI-powered classification to every discovered data asset, labeling sensitive information like PII, PHI, financial data, and IP based on content, context, and business relevance for accurate, scalable compliance and governance.
Fingerprinting
Bedrock uses content-aware fingerprinting to track and link data as it moves, is duplicated, or transformed, enabling precise lineage mapping, derivative detection, and better control over regulated or proprietary information.
Entitlements
Bedrock continuously analyzes entitlements across users, service accounts, roles, and platforms to map the full access chain to each data asset, enabling precise enforcement of least-privilege policies and rapid detection of overexposure.
Usage
Bedrock monitors how data is accessed, shared, and modified over time, surfacing anomalous usage patterns and aligning actual behavior with intended policies to reduce insider threats and strengthen access governance.
Graph API
Policy (AI DBOM, Data Retention, Lineage)
The policy layer automates governance at scale, with features like AI-generated Data Bill of Materials (DBOM), intelligent retention enforcement, and continuous lineage tracking to maintain compliance and reduce data risk.
Enforcement (Trust Boundaries)
Policies derived from Bedrock’s insights can be enforced at system boundaries, using integrations with enforcement layers to prevent policy drift, restrict overexposure, and secure high-risk data zones.
Analysis & Prioritization (Co-Pilot, Forensics, Push Down Tags)
Bedrock’s Co-Pilot AI assistant enables natural-language investigation and insight generation, while forensic tools provide lineage-based blast radius analysis and push-down tagging ensures consistent data governance across downstream tools.
Use Cases
Security Use Cases
Bedrock enhances data-centric security by delivering real-time visibility into sensitive data, monitoring entitlements and usage patterns, and enabling rapid incident response through automated breach impact analysis and AI-assisted investigations.
Governance Use Cases
Bedrock streamlines governance by automating data classification, enforcing retention and access policies, and providing continuous oversight of regulatory compliance across jurisdictions, business units, and data types.
Data Management Use Cases
Bedrock improves data quality, usability, and efficiency by cataloging assets, contextualizing business value, and supporting informed decisions on data lifecycle, storage optimization, and responsible use of data in AI and analytics.
3rd-party Integration
SIEM / SOC, DLP, CNAPP / CSPM
Bedrock feeds actionable context into security and governance tools to enhance incident response, prioritize vulnerability alerts based on data sensitivity, improve policy enforcement, and drive consistent compliance across your entire security stack.
Workflow & Ticketing Integration
Bedrock integrates with workflow and ticketing platforms to automate remediation steps, alert teams about access violations, and streamline cross-functional collaboration between security, compliance, and data governance teams.