It would require almost 8 billion 128 GB smartphones to hold just one zettabyte of data. Next year, the total volume of data is expected to surpass 180 zettabytes (in other words, 1.44 trillion smartphones). An increasing amount of this data is stored in SaaS applications like Box, which nearly 100,000 companies use to store their most sensitive information. So, as the volume of data in Box rises, understanding and managing it becomes increasingly complex.
That is why our data discovery and classification support for Box is so important. Understanding what data is housed within Box is a difficult challenge to solve due to the diverse nature of information stored in the application – whether it’s semi-structured financial analysis, unstructured intellectual property documentation, or structured sensitive personal information – all of which must be secured to protect an organization’s reputation and meet regulatory requirements.
Cyera’s Box discovery and classification addresses these challenges with precise, AI-powered classification that can auto-learn new data classes that are specific to your business. This is powered by our proprietary LLM, which offers 95%+ classification precision. Check out our demo video here.
Discovery and Classification for Box
How can Cyera’s support for Box provide value to your organization? Here are a few examples.
Use Case 1: Ensuring Data Privacy and Compliance
Healthcare organizations are required to secure Protected Health Information (PHI). But how do you find the personal data floating around in Box? With Cyera, you can easily identify and classify PHI in Box, helping you pinpoint where this data resides, which is the most critical step in ensuring appropriate safeguards are in place to protect it and ensure HIPAA compliance. Without this visibility, you risk costly fines and your patients’ trust, all while reducing time and effort required to demonstrate HIPAA compliance.
Use Case 2: Safeguarding Intellectual Property
Many tech companies rely on Box to store intellectual property (IP), such as sensitive product designs, technical documentation, or roadmaps. This information is often unstructured and hard to classify through traditional discovery and classification techniques, such as regular expressions and pattern recognition. With Cyera, IP held within Box can be detected through learned classifications powered by our LLM. This means Cyera can classify IP data even if there is no out-of-the-box classifier for it. It learns and adapts to your unique dataset. Identifying this hard-to-find IP is critical so that you can put the right protective measures in place to maintain your competitive edge.
Use Case 3: Identifying Restricted Financial Data in an Employee’s Box Account
Imagine a scenario where a bank employee uploads a large CSV file containing unencrypted customer financial data to Box. Cyera can quickly identify the misplaced file, automatically flag the data as sensitive, and alert your security team and the data owner, all without ever having to touch a keyboard. This enables your team to react swiftly to such insider threats and remove restricted data from places it should not be housed.
Use Case 4: Ensuring Data Security in Externally Shared Files
Companies often use Box for sharing sensitive data with external parties. For example, some companies use "Box Sign" for handling electronic signatures and sharing those documents with third parties. This external accessibility increases the risk of sensitive data exposure should there be a third-party data breach. With Cyera, you can discover and classify externally accessible data stored in Box (including Box Sign documents), ensuring that only the right people have access. In many cases, file sharing apps like Box are common sensitive data exfiltration paths. Cyera's ability to discover and classify sensitive data (with high precision and deep data context) is not only great for visibility, but also provides insights that can be passed along to DLP services for greater context.
Addressing the Data Visibility Gap
SaaS apps like Box are a double-edged sword, offering unprecedented collaboration and scale, but also introducing new and often unidentified data risks. Our expanded support for Box directly addresses this visibility gap. This is in addition to our SaaS support for Microsoft 365, Google Workspace, Snowflake, and numerous other datastores across IaaS, PaaS, and on-premises. By shining a light on the data that resides within Box and other environments – in a highly precise manner – Cyera helps you know exactly what data risks you’re dealing with. This includes identifying sensitive information, providing critical context about data, and automatically flagging issues that should be resolved to improve your data security posture.
Try It Today
Interested in seeing how Cyera can help you secure data in Box? Watch this demo video, request a demo, or reach out to your Cyera representative today.
