Bedrock Security
Bedrock Security offers a unified platform for discovering, protecting, and governing all data, powered by an AI-driven Metadata Lake. Their solution automates data discovery, classification, and lifecycle management across SaaS, PaaS, and IaaS environments, providing comprehensive data inventory, multi-datastore coverage, and rapid data asset tracking. Bedrock excels in AI-driven context and precision for classification, adapting to business context and sensitivity levels. The platform also focuses on managing data through secure entitlements, policy enforcement, and lifecycle optimization, including automated governance, compliance alignment, and intelligent access control. Key differentiators include unmatched accuracy through AI-driven classification, seamless integration with existing security tools like DLP and SIEM, and context enrichment with over 50 metadata attributes. They specifically address use cases like Data Contextualization, Data Discovery & Classification, Data Lineage, Data Movement & Access, Data Entitlement Access Review, and Data Vulnerability & Exposure Management, with a strong focus on securing data for GenAI applications.
Bedrock Security
Bedrock Security offers a unified platform for discovering, protecting, and governing all data, powered by an AI-driven Metadata Lake. Their solution automates data discovery, classification, and lifecycle management across SaaS, PaaS, and IaaS environments, providing comprehensive data inventory, multi-datastore coverage, and rapid data asset tracking. Bedrock excels in AI-driven context and precision for classification, adapting to business context and sensitivity levels. The platform also focuses on managing data through secure entitlements, policy enforcement, and lifecycle optimization, including automated governance, compliance alignment, and intelligent access control. Key differentiators include unmatched accuracy through AI-driven classification, seamless integration with existing security tools like DLP and SIEM, and context enrichment with over 50 metadata attributes. They specifically address use cases like Data Contextualization, Data Discovery & Classification, Data Lineage, Data Movement & Access, Data Entitlement Access Review, and Data Vulnerability & Exposure Management, with a strong focus on securing data for GenAI applications.