New Feature Finds Business Critical Images Hidden in Unstructured Data Stores
Symmetry Systems, a modern AI-powered data security company, today announced the launch of its advanced Optical Character Recognition (OCR) image analyzer. This new feature is set to redefine how businesses uncover and secure business-critical images across a hybrid cloud including all unstructured data object stores, including OneDrive, Amazon S3, Google Cloud Storage, AzureAzure is Microsoft’s cloud computing platform, offering a ... Blob Storage, and Snowflake. This advancement also has the ability to identify sensitive informationSensitive information is a broad term that encompasses any d... hidden within various image formats as well as PDFs, and supports over 100 languages.
“As regulatory requirements for document management are becoming increasingly stringent, having an OCR image analyzer is a critical data security capability for all businesses,” said Dr. Mohit Tiwari, CEO of Symmetry Systems. “By enabling the identification of sensitive and regulated documents, this advancement furthers our mission of helping organizations meet compliance standards more effectively and while improving their data security postureData security posture refers to the current status of the ca....”
Symmetry Systems’ modern approach to data classificationData classification is the process of organizing and categor... continues into its new OCR capabilities. Recognizing that OCR can be both time-consuming and resource-intensive, Symmetry offers a solution that is not only efficient but also tailored to the unique needs of each client. Where other solutions rely solely on existing metadataMetadata is data that provides information about other data...., Symmetry Systems works closely with clients to strategically deploy OCR where it provides the most value, focusing on reducing data risks and enhancing classification based on existing metadata and context.
Additional key features and benefits include:
- Enhanced Data Discovery and Visibility: Symmetry’s OCR capability provides businesses with enhanced visibility into their data stores, revealing critical images and information that were previously challenging to access.
- Improved Data Security and Compliance Posture: With the ability to identify sensitive information within images and PDFs, Symmetry’s OCR technology allows businesses to identify potential data security and compliance issues.
- Efficient Data Management: By automating the evaluation, tagging, and metadata enforcement of images, Symmetry’s OCR technology streamlines data retrieval and processing. This efficiency not only saves time but also significantly reduces the risk associated with improperly secured or non-compliant data.
To learn more about Symmetry Systems, or to request a demo, please visit https://www.symmetry-systems.com/.
About Symmetry Systems
Symmetry Systems is the industry’s first hybrid cloud data security platform that safeguards data at scale on AWS, GCP, Azure services, and on-premise databases while supporting a data-centric zero trustZero Trust is a security concept that businesses deploy to s... model. With Symmetry, security and compliance teams can address threats quickly through AI-driven data security posture management (DSPMA term originally coined by Gartner, data security posture ...). Symmetry provides visibility into data risks from excessive permissions and anomalous data flows while giving organizations the evidence required to demonstrate compliance best practices.
Born from the award-winning Spark Research Lab at UT Austin, Symmetry is backed by leading security investors ForgePoint Capital and Prefix Capital with participation from Accenture Ventures. Symmetry provides solutions for the most demanding security teams.
Learn more about how Symmetry Systems can enable you to ask more questions about data security within AWS and hybrid cloudsPrivate clouds. Public clouds. Hybrid clouds. All these term.... For more information about Symmetry Systems, please visit www.symmetry-systems.com or follow us on Twitter or LinkedIn.
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