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CipherCloud Introduces Advanced Data Discovery, Extending Its End-to-End Data Security Platform

Added Visualization and Automated Remediation Capabilities Deepen Market-Leading Approach to Data Security Lifecycle

CipherCloud, the market’s leading provider of integrated cloud security and data privacy, announced the availability of its newly enhanced Data Discovery solution. Building on the strengths of its CipherCloud CASB+ platform, the advanced visualization and automated remediation features further enable organizations to enlist a centralized lifecycle approach to data security.

Using Data Discovery, CipherCloud CASB+ customers can now uncover and inspect sensitive information used in public cloud and SaaS applications faster and with greater efficiency than ever before – preventing potential data exposure and optimizing complex business processes including cross-partner collaboration. By complementing its existing data classification, access control, data loss prevention (DLP), data masking, and information rights management (IRM) capabilities, Data Discovery further establishes the CASB+ platform as an all-encompassing solution to organizations’ pressing data security requirements.

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“As more businesses are accelerating their cloud adoption, particularly in light of the growing remote workforce, it is critical to have an automated ability to identify and address evolving data risks,” said CipherCloud Founder and CEO Pravin Kothari. “Organizations need flexible, automated capabilities that allow them to realize the power of digital transformation while ensuring that their sensitive data is always properly identified and safeguarded.”

By detecting and remediating critical exposures related to open file shares and other improper data handling activities across public cloud and SaaS apps, CipherCloud CASB+ with Data Discovery is able to prevent inadvertent or intentional transmission of PII, PCI, PHI, intellectual property, and other sensitive information. Once such sensitive data is identified, automated remediation actions including data masking, redaction and deletion can be enforced, along with quarantine and privilege limitation.

Backed by policies covering both structured and unstructured data, Data Discovery also provides rich pre-built templates for regulatory requirements including GLBA, PCI, GDPR, CCPA and HIPAA, among others.

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“Many organizations do not yet have clear visibility into what sensitive data their users are inadvertently transmitting, or where they are sending it, which is a huge gap from both a compliance and security standpoint,” Kothari said. “This is where CASB+ further proves itself as a crucial element of overall data security strategy, providing mandatory visibility into and control over sensitive data to better address security, privacy and compliance.”

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Using Integrated Data Discovery and DLP to Control PII, PHI and Financial Data

While many CASB solutions only address data as it is being shared to the cloud – with limited visibility into information already resident in cloud applications – CipherCloud CASB+ now offers complete visibility and control with the addition of Data Discovery. Combined with the solution’s integrated Data Loss Prevention (DLP) and automated remediation actions, this advanced data security lifecycle approach addresses both data in motion and data at rest – enabling organizations to keep pace with the evolving scope of their unique requirements.

To help address customer requirements, CipherCloud CASB+ ships with an extensive library of DLP templates accessible using Data Discovery, along with custom templates. Out of the box capabilities cover a wide variety of established standards to identify PII, PHI or financial data while custom templates can utilize regular expressions and keywords among other constructs. CASB+ DLP also supports Optical Character Recognition (OCR) to scan for sensitive information violations in images.

CASB+ Data Discovery further addresses the hundreds of Terabytes of data handled by many of today’s organizations by providing extensive filtering to target scans on specific folders or objects of high importance. This is supported by controls for tracking and executing scans, along with detailed reporting on potential data violations and recommended remediation actions.

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