AI-native data security platform that discovers, classifies, and protects sensitive data across cloud, SaaS, on-premises, and AI environments. Uses machine learning and large language models to automatically categorize data across 200+ built-in categories including PII, PHI, PCI, intellectual property, and secrets with high accuracy and low false-positive rates.
Best for
Enterprise cloud migration security assessment: Organizations migrating workloads to AWS, Azure, or GCP who need to discover and classify all sensitive data before, during, and after migration to prevent data exposure, ensure regulatory compliance, and maintain continuous security visibility throughout multi-phase cloud adoption projects.
Starting price
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AI-Powered Data Classification: Uses large language models and contextual analysis to classify sensitive data across 200+ categories including PII, PHI, PCI, IP, and secrets with high accuracy. Unlike regex-based DLP tools, Cyera's LLM engine understands semantic meaning, reducing false positives by up to 90% on unstructured data such as documents, emails, code, and chat messages.Agentless Data Discovery: Connects via cloud-native APIs to discover data across 100+ data store types without installing agents, including databases, object storage, data warehouses, data lakes, SaaS applications, and file shares. Supports AWS, Azure, GCP, Snowflake, Databricks, Microsoft 365, Google Workspace, Salesforce, and on-premises systems through read-only IAM roles, service principals, or service accounts.Data Security Posture Management: Continuously assesses data security posture across encryption status, public exposure, access permissions, misconfigurations, and data residency compliance. Provides risk-prioritized findings with remediation guidance mapped to regulatory frameworks including GDPR, HIPAA, PCI-DSS, CCPA, and SOX, enabling security teams to focus on the highest-impact risks first.
Match reasons
- Primary category match: Data & Analytics
- Well-documented pros and cons
Tool CTA
Shortlist Cyera if you need a stronger fit for budget data & analytics users around free and data-&-analytics.