Cyberhaven Data Security Platform vs Symmetry DataGuard

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.

Symmetry DataGuard discovers, classifies, maps and monitors sensitive data across cloud, on-premises and hybrid environments. It identifies unused access, dormant identities, data sprawl and insecure data stores for remediation. Permission analysis connects data to identities to help teams enforce least privilege and assess the access that new permissions would grant. Data activity monitoring, anomaly detection and configurable real-time alerts help identify unusual behavior and policy violations; the platform can also help contain incidents involving compromised identities and affected data. For AI security, it helps identify sensitive data accessible to generative AI deployments. Listed integrations include AWS, Azure, Google Cloud, Microsoft 365, Salesforce, Snowflake, Okta and Active Directory; the catalog also covers databases, file shares, identity providers, collaboration tools, LLMs and AI frameworks. Deployment options include managed SaaS, customer-environment, geographically federated, air-gapped and Outpost configurations. Symmetry says its cloud encrypts data in transit and at rest and isolates customer environments. The product is paid, with pricing on request, and the company offers a free trial.