Track Data & Access
Map data flows and access to detect risks, enforce least privilege, and secure sensitive assets.
82
Percent of cybersecurity professionals report gaps in finding and classifying organizational data.
53
Percent of security teams lack up-to-date data visibility.
Complete Data Access & Usage Visibility
Track Data Movement: Continuous Visibility & Risk Detection
Bedrock seamlessly maps data flows across SaaS, PaaS, and IaaS, detecting unauthorized transfers, enforcing movement policies, and alerting security teams. Correlate data movement with identity entitlements to pinpoint overexposed assets and prevent compliance violations and enforce Trust Boundaries to keep sensitive data out of unauthorized locations, AI models, and apps.
Security & Compliance
Rapid data flow tracking and security enforcement across cloud environments.
Dynamic Data Mapping & Flow Analysis
Detect unauthorized data transfers, compliance violations, and overexposures.
Integrated Risk Context & Prioritization
Link data movement to entitlements to uncover risks and exposure.
Policy-Based Data Movement Controls
Prevent sensitive data from reaching unauthorized locations.
Right-Size Data Entitlements: Full Access Chain Analysis
Misconfigured access increases security risks. Bedrock maps entitlements, detects over-provisioning, and enforces least privilege to ensure only the right identities access critical data. Automated risk-based controls streamline access management, while real-time identity analysis detects privilege escalations and insider threats before they become breaches.
End-to-end Visibility of Entitlements
Detect over-provisioning and enforce least privilege with automated controls.
Identity & Access Visibility
Achieve full visibility into data access, entitlements, and escalations.
Least Privilege Enforcement
Reduce excessive permissions & insider threats with automated entitlement right-sizing.
Real-Time Identity Risk Analysis
Detect identity risks by analyzing access behaviors and privilege escalations.
Determine Data Lineage: AI-Driven Context & Precision
Bedrock automates lineage mapping, enriches metadata, and categorizes data to enforce governance, prevent unauthorized exposure, and protect IP. AI-powered classification enhances regulatory risk assessment, while continuous metadata enrichment and policy-driven retention ensure seamless security and compliance.
Automated Lineage Mapping
Enforce governance, prevent exposure, and maintain full data visibility.
Automated Content Categorization
AI-powered classification enhances data identification & compliance.
End-to-End Data Traceability
Track data lineage to enforce governance, and protect IP.
Dynamic Metadata Enrichment
Leverage fresh metadata for context-aware security and governance.
Why Bedrock for Tracking Data Movement & Access?
Dynamic Data Flow Analysis
Bedrock maps where data is & how it moves, detecting unauthorized transfers in real time.
Integrated Risk Context
Our platform correlates identity entitlements and access activity, prioritizing high-risk exposures.
Policy-Based Movement Controls
Enforce custom Trust Boundaries with Bedrock, preventing sensitive data from flowing into AI models.
“I believe that effective security requires looking at the full lifecycle of how customer data is handled. This means getting accurate visibility, enabling data perimeters, and proactively reducing data risk. Bedrock’s innovation excites me and aligns with how I think about protecting data and managing risk effectively.”
Mukund Sarma
Sr. Director Product Security, Fastest Growing US Fintech Co.