ReddRadar
What is Cyera?
Cyera offers a comprehensive data security platform tailored for modern enterprises facing the challenge of managing and securing vast amounts of data. It provides visibility into an organization's entire data landscape, identifying what data exists, where it resides, who has access to it, and the associated risks. By leveraging AI, Cyera delivers precise data discovery, classification, and security posture management across cloud environments like AWS, Azure, Google Cloud, Snowflake, and Microsoft 365, as well as on-premises systems.
The platform helps businesses take control of data security risks, prevent non-compliance penalties, minimize the impact of breaches, and accelerate data-driven initiatives. It includes modules for Data Security Posture Management (DSPM), Identity Access Management, Privacy compliance, and an AI-driven Data Loss Prevention (DLP) solution (Omni DLP), alongside services like Data Breach Readiness and Data Risk Assessment. Cyera aims to simplify data security, enabling organizations to protect their most critical asset while fostering business growth.
Features
- Data Discovery and Classification: Identifies and categorizes sensitive data across the entire data landscape.
- Data Security Posture Management (DSPM): Assesses and monitors the security posture of discovered data.
- Identity Access Management: Determines who or what has access to specific data.
- AI-Powered Data Loss Prevention (Omni DLP): Detects, monitors, and protects critical data in motion using AI.
- Privacy Compliance Management: Helps build personal data inventories and identify privacy risks for compliance.
- Data Risk Assessment: Identifies data risks, vulnerabilities, and misconfigurations.
- Multi-Cloud and On-Prem Support: Operates across AWS, Azure, Google Cloud, Snowflake, M365, and on-premises systems.
Use Cases
- Achieving and maintaining compliance readiness for regulations.
- Securing sensitive data during mergers, acquisitions, and divestitures.
- Safely enabling the use of AI tools and copilots within the enterprise.
- Performing comprehensive data risk assessments.
- Developing and executing data incident response plans.
- Reducing the data attack surface in Microsoft 365.
- Gaining complete data visibility across hybrid environments.
- Implementing data minimization and controlling data sprawl.
- Preventing public exposure of sensitive organizational data.
