Concentric AI Demonstrating the Latest in Autonomous Data Security at RSA Conference 2022

·3 min read

AI and Data Security Experts Available to Discuss Data Security and Governance, and How Organizations Can Transform their Data Security without Overhead

SAN JOSE, Calif., May 26, 2022--(BUSINESS WIRE)--Concentric Inc., a leading vendor of intelligent AI-based solutions for protecting business-critical data, announced today it will be demonstrating the latest in autonomous data security at the RSA Conference 2022 next month. The company’s AI and data security experts will be available during the event to meet with attendees and discuss the latest in data security and governance, and how organizations can transform their data security without adding overhead.

Exhibiting in the RSA Conference Early Stage Expo (ESE) in Booth 18, Concentric will demonstrate its AI-based data security solution called Semantic Intelligence™, which autonomously discovers data, identifies risk to sensitive content, and prevents data loss caused by oversharing or inappropriate use. Semantic Intelligence features Risk Distance™ analysis to identify business-critical data and assesses risk without rules or end-user assistance, helping organizations meet compliance requirements by discovering personally identifiable information (PII) in unstructured and structured data.

In addition, attendees visiting Concentric’s booth will have a chance to win valuable prizes. One lucky attendee will win the Grand Prize, with a retail value up to $3,000, of food, drink and an expert guide for up to 20 participants to taste fine California wines, learn how to concoct the perfect summer beverage, or build a charcuterie board perfect for backyard entertaining. Also, three lucky winners will walk away with a Yeti Hopper Flip 12 cooler, with a retail value of $250. Additional giveaways are also available for anyone visiting the Concentric booth.

Attendees are invited to visit Concentric’s Booth 18 during the Early Stage Expo hours of 8:30 am PDT – 4:30 pm PDT on June 8, and 9:30 am PDT – 3 pm PDT on June 9. For more information, or to schedule a meeting or private demo, contact us at

Concentric secures data-centric work using AI to protect business-critical information hidden in the millions of files and databases used by today’s distributed workforce. The company’s unique deep learning solution autonomously and accurately finds sensitive content, assesses risk, and remediates security issues, allowing organizations across industries to meet their data security needs for the first time.

Concentric’s Semantic Intelligence™ automates unstructured and structured data security using deep learning to categorize data, uncover business criticality and reduce risk. Its Risk Distance™ analysis technology uses the baseline security practices observed for each data category to spot security anomalies in individual files. It compares documents of the same type to identify risk from oversharing, third-party access, and wrong location or misclassification. Organizations benefit from the expertise of content owners without intrusive classification mandates, with no rules, regex, or policy maintenance needed.

About Concentric AI

With Concentric, organizations can finally address their unmet data security needs by discovering and protecting business-critical content. Concentric protects intellectual property, financial documents, PII/PCI content, customer data, business confidential data and more, across on-premises and cloud-based data stores. The Concentric Semantic Intelligence™ Data Access Governance solution uses deep learning and Risk Distance™ analysis to accurately categorize data, assess risk, and remediate security issues – without relying on upfront rules or complex configuration. Concentric is venture-backed by leading Silicon Valley VCs and is headquartered in San Jose, Calif. For more information, see

Concentric, Semantic Intelligence™, and Risk Distance™ are or may be registered trademarks of Concentric AI, Inc. All other marks and names mentioned herein may be trademarks of their respective companies.

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Dan Spalding
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