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Cyera

Know your data. Keep it secure. Awards and accolades: 2023 Data Security Platform of the Year - Data Breakthrough Awards 2023 Cloud Data Security Product of the year - Cloud Computing Magazine 2022 Best Data Security Solution - CISO Choice Awards Cyera at a glance: Cyera is the data security company that gives businesses context and control over their most valuable asset: data. As a pioneer in Data Security Posture Management (DSPM), Cyera instantly provides companies visibility over all of their sensitive data, context over the risk it represents & their security exposure, and automated remediation to reduce the attack surface and ensure operational resilience. We are redefining the way companies secure their data. How Cyera is different: Cyera takes a data-centric approach to security, assessing the exposure to your sensitive data, everywhere. Our DataGraph automatically and continuously learns from your environment, assessing your threat surface, data access, and security controls across multiple dimensions of risk. Because Cyera applies deep data context holistically across your data landscape, we are the only solution that can empower security teams to know where their data is, what exposes it to risk, and take immediate action to remediate exposures and assure compliance without disrupting the business. Why your business needs Cyera: Mass migration to multi-cloud and work from anywhere has broken traditional security. It has never been easier for siloed projects, rapid dev cycles, or human error to result in a data breach or ransomware attack. Cyera dynamically develops deep context about the sensitive data across your hybrid cloud landscape, assessing your threat surface, data access, and security controls and quickly remediating exposures to your most valuable & vulnerable data. Case Studies: Healthcare - https://www.cyera.io/use-case/healthcare Finance - https://www.cyera.io/use-case/finance Tech - https://www.cyera.io/use-case/technology

https://www.cyera.io
51-200 employees

Growth Trajectory

Cyera is poised for growth through continued innovation in AI-powered data security, expansion into new cloud platforms and services, and strategic partnerships. The company's recent $300M Series D funding and acquisition of Trail Security signal strong investment and market expansion efforts. Cyera is also focusing on securing AI adoption and expanding its reach in industries like healthcare, financial services, and manufacturing.

Technical Challenges

Managing data sprawl across multi-cloud and hybrid environments.
Ensuring high-precision data classification using AI and machine learning.
Adapting to evolving compliance frameworks and regulatory requirements.
Protecting data in motion and addressing the challenges of data zoning.
Identifying and remediating data exposures and vulnerabilities in complex environments.

Tech Stack

AILarge Language Models (LLMs)AWSAzureGoogle CloudSnowflakeMicrosoft 365Oracle DatabaseCockroachDBBox

Team Size

Key Risks

The DSPM market is competitive, requiring continuous innovation to maintain a leading position.
Evolving data security threats, such as ransomware and sophisticated attacks, could necessitate rapid platform updates and adaptations.
Compliance with increasingly stringent regulatory requirements (GDPR, HIPAA, CCPA) may demand significant resources and expertise.
Managing data sprawl and ensuring data security in complex multi-cloud and hybrid environments presents ongoing technical challenges.
Talent acquisition in the specialized field of AI-powered data security might be difficult due to high demand and limited supply.

Opportunities

Further development of AI-driven data security solutions to address emerging threats and market needs.
Expansion of the platform's integration capabilities to encompass a broader range of cloud platforms, security tools, and data sources.
Leveraging partnerships with cloud providers, security vendors, and consulting firms to expand market reach and offer comprehensive solutions.
Capitalizing on the growing demand for DSPM solutions to help organizations address data security challenges in the cloud.
Expanding into new industries and use cases, such as securing workloads for generative AI and facilitating M&A and divestiture processes.
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