Cyberhaven Data Security Platform vs Privacera Data Security Platform

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.

Privacera Data Security Platform helps organizations discover sensitive information and manage access across their data estate. Privacera Data Discovery identifies and classifies structured and unstructured data, while administrators can set role-, attribute-, and tag-based policies at levels such as databases, tables, rows, columns, files, and fields. The platform can mask sensitive data and apply encryption at multiple levels. It also provides audit trails, usage reports, access monitoring, exposure analysis, permission analysis, and remediation workflows. Deployment options include customer infrastructure on-premises or in a customer cloud account. Listed integrations include Databricks, Snowflake, Amazon S3, Azure Data Lake Storage, Amazon EMR, and Amazon Redshift. Open APIs and professional services can support custom connections, and APIs can integrate catalog tags and classifications from Collibra, Alation, and BigID. The platform supports SSO and LDAP, including SAML 2.0 and OAuth. It is paid, with pricing on request, and a free 30-day PrivaceraCloud trial is available. Privacera is headquartered in Fremont, California, and was founded in 2016.