Bedrock Data Security Platform
7.2#2 in data security posture management softwareFrom $399 a monthFree planWebAPI
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| Fact | Bedrock Data Security Platform | Check Point CloudGuard Data Security |
|---|---|---|
| Data discovery | The discovery engine continuously scans SaaS, PaaS and IaaS environments for structured, semi-structured and unstructured data assets. | DSPM solutions can automatically discover and classify sensitive data, using tools such as AWS Macie, and map data flows through infrastructure. |
| Founded | 2022 | 1993 |
| Headquarters | LinkedIn lists headquarters in Menlo Park, California. | Tel Aviv, Israel |
| Integrations | Published integrations include Jira, SIEM platforms, Wiz and Sysdig; Jira findings can create and automatically close synchronized tickets. | The CloudGuard integration hub supports connections to third-party applications, APIs, and services, including Splunk, IBM QRadar, ServiceNow, Slack, and AWS Security Hub. |
| Intended users | Bedrock positions the platform for enterprise security and data teams and identifies technology, finance, healthcare, and biotech organizations among its audiences. | Check Point says its products and services are sold to enterprises, service providers, small- and medium-sized businesses, and consumers. |
| Purpose | Bedrock describes its product as a data security, governance, and management platform built on data discovery and classification technology. | Check Point CNAPP provides capabilities to secure applications and data against potential threats. |
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Bedrock suits enterprise security and data teams that need discovery, classification, permission analysis, and exposure context across cloud and SaaS environments. It is also relevant to organizations governing Snowflake Cortex agents and connecting security workflows to Jira, SIEM, Wiz, or Sysdig.
CloudGuard Data Security may suit enterprises seeking to identify sensitive cloud data, prioritize breach risks, or support regulatory compliance. Teams using AWS S3 or listed classification integrations may find its data sensitivity context relevant.