
Data Protection
Cyera Data Security Platform
AI-native data security spanning DSPM, Omni DLP, Access Trail, and AI Guardian for cloud.
Cyera Data Security Platform Overview
What it does
Cyera Data Security Platform is an agentless, AI-native data security platform that discovers, classifies, and protects sensitive data across cloud infrastructure, SaaS applications, databases, email, endpoints, and AI systems. The platform deploys in minutes and uses AI-native classification with 95%+ precision to link data sensitivity with identities, access paths, and organizational context.
How it works
The platform spans five modules: DSPM for discovery and posture management, Omni DLP for adaptive data loss prevention, Access Trail for human and AI data access auditing, AI-SPM for shadow AI discovery and governance, and AI Protect for runtime blocking of sensitive data leakage in AI interactions. Automated remediation workflows reduce exposure through label fixes, access rightsizing, and owner-directed notifications integrated with Jira, ServiceNow, Slack, and Microsoft Teams.
Credentials and traction
Cyera holds SOC 2, ISO 27001, and PCI DSS certifications, along with GDPR, HIPAA, and CCPA compliance attestations. The company was named a Leader in The Forrester Wave: Sensitive Data Discovery And Classification Solutions, Q2 2026, earning the highest score in the strategy category. Its data security platform is used by organizations including Paramount, AT&T, Chipotle, DocuSign, and Peloton.
Key Capabilities
mapped to solution categoriesIdentifies sensitive data in locations outside authorized data stores, development databases containing production PII, unprotected S3 prefixes, forgotten data lake partitions.
Verifies that sensitive data is stored and processed only in approved geographic regions, mapping data locations to applicable residency requirements (GDPR EEA, Australian Privacy Act, data sovereignty laws).
Automatically remediates discovered violations, revoking over-permissioned access, moving misplaced data to compliant storage, encrypting unprotected sensitive files.
Connects to cloud object storage, data warehouses, on-premises databases, and SaaS platforms for discovery and classification, with coverage depth varying by product.
Discovers and classifies sensitive data (PII, PHI, PCI data, IP) across cloud object storage, relational and NoSQL databases, data lakes, and SaaS platforms using content inspection and ML classification.
Maps effective permissions to sensitive data stores across cloud IAM, database roles, and SaaS permissions, identifies over-privileged access and dormant entitlements.
Traces how sensitive data moves between storage locations, services, and users, surfaces unexpected cross-region transfers, shadow copies, and retention policy violations.
Assigns risk scores to discovered data based on sensitivity, access exposure, and configuration, then continuously monitors access patterns and policy compliance to surface the highest-risk data stores for action.
Continuously monitors data access patterns and flags anomalous or unauthorized access in real time.
Detects and controls sensitive data entered into generative AI tools, applying block, redact, or warn actions before data leaves the organization.
Applies sensitivity labels to data automatically based on content analysis and context without requiring users to manually classify documents before policy enforcement.
Discovers and enforces data policies for content stored in or transiting through cloud applications and storage, extending DLP coverage to SaaS environments without endpoint agents.
Monitors and enforces data movement policies on endpoints, blocking or logging USB transfers, clipboard operations, print jobs, and screen captures of content matching classification policies.
Correlates DLP policy violations with user behavioral context, distinguishing routine data movement from anomalous exfiltration patterns associated with insider threat or account compromise.
Compliance
certificationsIntegrations
compatible toolsImplementation & support
Info last updated on May 27, 2026
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