Bedrock Data Security Platform vs Cyberhaven Data Security Platform

Bedrock Data Security Platform is a data security, governance, and management product built around discovery and classification. Its Metadata Lake combines more than 50 kinds of metadata, including sensitivity, usage, access, residency, and vulnerabilities, for contextual risk analysis. It scans SaaS, PaaS, and IaaS environments continuously and uses AI to classify data such as PII, PHI, financial information, and intellectual property. Content-aware fingerprints help trace data through movement, copying, or transformation, while entitlement analysis maps access chains across users, service accounts, roles, and platforms to identify exposure. For AI governance, it maps Snowflake Cortex agents to accessible data and supplies Agent Cards summarizing their data access. A Graph API exposes Metadata Lake context for automation and integrations. Bedrock says scanning, classification, and analysis happen in the customer environment; metadata is sent to its SaaS service, while customer data is not stored in the Metadata Lake. The free Snowflake plan is limited to weekly scans and omits capabilities including API access and entitlement analysis.

Cyberhaven Data Security Platform combines data loss prevention, insider risk management, data security posture management, and AI security. Cyberhaven Flow links data lineage, identity, and behavior across endpoints, browsers, and cloud services. It traces sensitive data from creation through movement, transformation, and fragmentation, while AI classification updates as data changes. Linea AI Detection Agent identifies risky activity; the Analyst Agent investigates, gathers evidence, and prepares reports with suggested next steps. Capabilities include sensitive-data discovery, exposure and permission analysis, remediation workflows, policy templates, role-based access controls, privacy obfuscation, reporting, and endpoint tamper protection. Cyberhaven states that its endpoint agent supports Windows, macOS, and Linux, and its browser extension works with major browsers to collect telemetry from web-based cloud applications. Integration categories include directory services, SIEM and SOAR, cloud applications, and evidence repositories. Customer data is hosted on Google Cloud Platform, with isolated customer instances and dedicated compute, storage, and network resources. Pricing is on request; prospective customers can request a 30-minute live demo. Support engineers are available weekdays during listed Eastern Time hours, with round-the-clock portal access.