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.
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 pro...
Cyera is an AI-native data security platform built to give large enterprises continuous visibility and control over sensitive data wherever it lives — across public cloud (AWS, Azure, GCP, OCI), SaaS applications, on-premises file shares and databases, data lakes and warehouses (Snowflake, Databricks, BigQuery, Redshift), and emerging AI environments such as model training datasets and vector stores. Founded in 2021 and headquartered in New York, Cyera has rapidly become one of the most prominent vendors in the Data Security Posture Management (DSPM) and Data Access Governance (DAG) categories, achieving unicorn status and surpassing a $4 billion valuation by 2025.
The platform's core differentiator is its agentless, ML- and LLM-powered classification engine. Rather than relying on brittle regex patterns and keyword dictionaries, Cyera applies large language models and contextual machine learning to understand what data actually represents in business terms — distinguishing, for example, a customer SSN from a test value, or a clinical PHI record from a marketing email. It ships with 200+ built-in classifiers covering PII, PHI, PCI-DSS, financial records, intellectual property, secrets, and country-specific identifiers, and allows security teams to build custom classifiers without writing code.
Beyond discovery and classification, Cyera unifies several capabilities that historically required separate tools: DSPM (risk posture and misconfiguration detection), Data Access Governance (who can access what, including over-permissioned identities and stale access), Data Detection and Response (DDR) for real-time threat monitoring, Data Privacy Management for GDPR/CCPA/HIPAA compliance, and AI Security Posture Management (AI-SPM) to govern data flowing into LLMs, copilots, and AI agents. The 2024 acquisition of Trail Security added Data Loss Prevention (DLP) to the portfolio, positioning Cyera as a consolidated data security platform rather than a point solution.
Deployment is agentless and connector-based, so organizations can typically be up and scanning within hours. The platform integrates with SIEM/SOAR tools (Splunk, Sentinel, Chronicle), ITSM (ServiceNow, Jira), IAM providers (Okta, Entra ID), and data catalogs to fit into existing security operations. Cyera is sold exclusively as an enterprise SaaS subscription with custom pricing, and is most commonly adopted by Fortune 1000 companies in regulated industries — financial services, healthcare, technology, and government — that need to inventory and protect data at petabyte scale while accelerating cloud and AI initiatives.
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Cyera's classification engine uses a proprietary combination of large language models and contextual analysis to automatically categorize data across 200+ built-in categories. The LLM-based approach understands semantic meaning rather than relying on pattern matching, enabling accurate classification of unstructured data in documents, emails, code repositories, and chat messages. Organizations report up to 90% fewer false positives compared to traditional regex-based DLP tools, significantly reducing the manual triage burden on security teams.
The platform connects via native cloud APIs (AWS IAM roles, Azure service principals, GCP service accounts) and SaaS integrations to scan over 100 data store types without installing any agents or appliances. Supported environments include relational databases, NoSQL databases, object storage, data warehouses, data lakes, file shares, and email systems across AWS, Azure, GCP, Snowflake, Databricks, Microsoft 365, Google Workspace, and Salesforce. This agentless approach enables deployment in hours and eliminates performance impact on production workloads.
Cyera maps identity-to-data relationships across all connected environments, providing a complete view of who can access what sensitive data and through which permission paths. The platform identifies excessive privileges, dormant access, and policy violations, then provides actionable recommendations for least-privilege enforcement. DAG helps organizations systematically reduce their data attack surface by revoking unnecessary permissions and enforcing role-based access controls aligned with data sensitivity levels.
This capability discovers training datasets, RAG knowledge bases, vector databases, and AI model inputs to identify where sensitive data may be flowing into generative AI pipelines. AI-SPM enables security teams to enforce policies that prevent PII, PHI, intellectual property, or other regulated data from being used in AI training or retrieval without proper controls, governance, and approval workflows — a critical capability as enterprises rapidly adopt LLMs and AI copilots.
DDR provides real-time monitoring of data access events across all connected environments, detecting anomalous patterns such as bulk data exfiltration, unauthorized access by overprivileged identities, geographic access anomalies, and policy violations. When threats are detected, automated workflows create incidents in ITSM platforms (ServiceNow, Jira), send alerts to messaging systems (Slack), and export events to SIEM platforms (Splunk) for centralized correlation and response.
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Heading into 2026, Cyera continues to be one of the fastest-moving vendors in the data security space. Major recent milestones include surpassing a $4 billion valuation following large funding rounds in 2024 and 2025, the acquisition of Trail Security to add DLP capabilities into the platform, and ongoing expansion of AI Security Posture Management features focused on governing data flowing into LLMs, copilots, and AI agents. Cyera has deepened coverage of unstructured data, file shares, and on-premises environments, expanded its catalog of built-in classifiers and country-specific identifiers, and broadened integrations with SIEM, SOAR, ITSM, and data catalog tools. The strategic direction is clear consolidation: positioning Cyera as a unified AI-native data security platform spanning DSPM, DAG, DDR, DLP, privacy, and AI security rather than a single-purpose DSPM tool.
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