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Cyera

AI-native data security platform for cloud, SaaS, on-premises, and AI environments
Data & Analytics
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Cyera

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Cyera
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AI TEHNOLOGIES
Description

Cyera delivers an AI-native data security platform that enables enterprises to protect and control their data with unprecedented speed, scale, and precision. The platform addresses critical challenges facing modern organizations where data exists across cloud, on-premises, and SaaS environments, and where generative AI adoption creates new data risks with seventy percent of businesses using GenAI and eighty percent of data flowing into risky AI tools.

The platform's AI-native architecture enables agentless deployment that scans and classifies data in minutes rather than days, handling petabytes of rapidly growing enterprise data with high precision classification. Cyera uses DataDNA technology that combines machine learning, named entity recognition, large language models, and advanced techniques to achieve ninety-five percent accuracy in data discovery, eliminating the false positives and noise generated by legacy fingerprinting approaches.

Core capabilities include continuous discovery and classification of sensitive data across SaaS, IaaS, DBaaS and on-premises environments, identity and access governance to reduce unauthorized access by human and non-human identities, and comprehensive data loss prevention. The platform identifies and prioritizes critical data risks while eliminating noise, enabling security teams to focus on what matters most. It democratizes data security by transforming data owners into active security participants through automated workflows and alerts.

The platform provides enterprise-grade features including data security posture management, access trail monitoring, AI Guardian for secure AI adoption, identity access controls, data subject request handling, and privacy compliance capabilities. Organizations can deploy the solution rapidly with agentless implementation, achieving full operationalization quickly without the complexity of traditional agent-based security tools. The platform integrates with existing enterprise infrastructure and supports compliance frameworks including PCI DSS for protecting cardholder data.

Use cases
  • Discover and classify sensitive data across cloud, SaaS, and on-premises environments with high precision
  • Monitor and control data access by human and non-human identities to reduce unauthorized access
  • Secure AI adoption by identifying data flows into generative AI tools and managing associated risks
  • Achieve compliance readiness for regulatory frameworks including PCI DSS and data privacy regulations
  • Support mergers, acquisitions, and divestitures with comprehensive data risk assessment and visibility
  • Reduce Microsoft 365 attack surface by identifying and remediating data security risks in M365 environments
  • Enable data minimization strategies by identifying unnecessary or redundant sensitive data across the enterprise
  • Address data sprawl challenges by discovering shadow data repositories and unmanaged data stores
  • Identify and remediate publicly exposed sensitive data that creates breach risk
  • Democratize data security by empowering data owners with automated workflows and risk alerts
  • Accelerate incident response and data breach readiness with comprehensive data inventory and context
  • Implement data loss prevention with AI-driven classification to reduce false positives
Features
DSPM, AI Guardian, Access Trail, Identity Management, Data Loss Prevention, Data Subject Requests, Privacy Compliance, AI-native Classification, Agentless Deployment, DataDNA Technology

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