Concentric AI introduced an AI-based autonomous data security posture management (DSPM) capability that can monitor user activity risk, automatically remediating data security issues in on-premise data repositories.
With this, enterprises can leverage AI-driven DSPM to monitor user activity, identify anomalous activity (downloads, views, modifications and deletions) and remediate issues to prevent data loss.
Concentric AI is extending AI-based DSPM beyond discovery of sensitive data – including PII/PCI/PHI, confidential data, IP and financial information – helping identify risk from excessive permissioning, risky sharing, inappropriate entitlements and wrong locations.
“User feedback tells us organizations today need their DSPM solutions to go beyond discovery and classification of sensitive data to be able to identify and remediate risk from user activity,” said Karthik Krishnan, Concentric AI founder and CEO. “With the industry focus on cloud, protection of sensitive information in on-premises data repositories has been an unmet need. This launch extends our capabilities with support for full-fledged data security governance for all environments – from cloud repositories to on-premises environments – that exist among F1000 organizations.”
Concentric AI’s user activity monitoring is augmented by risk alert creation, user notifications and remediation actions to prevent data loss on large on-premises data repositories.
Concentric AI secures data-centric work, using AI to protect business-critical information hidden in applications, data stores and databases used by distributed workforces. The company’s unique deep learning solution using sophisticated natural language to autonomously and accurately identify sensitive data, assesses risk and remediate security issues. This allows organizations across industries to better meet data security needs, automating unstructured and structured data security, both on-premise and in cloud environments. It employs deep learning to categorize data, uncover business criticality and reduce risk in databases, data repositories, email, messaging applications and enterprise GenAI tools and AI assistants.
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