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Contextual Access Governance for On-Premises Data Protection

Leverage AI to stay on top of critical data and keep it secure within your on-premises environments. 

Concentric Semantic Intelligence
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Trusted by leading data security teams

The Challenge

With massive amounts of data stored on-premises, the degree of difficulty in managing security keeps rising.

Discovering personally identifiable information (PII) or regulated data across dozens of databases and on-premises data stores is critical for compliance and responsible data security. Relying on occasional audits to find and control sensitive content might help you pass a compliance audit, but it wont spot emerging risks as teams spin up new databases or add content. 

Organizations face a variety of challenges for securing their on-premises data:

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Locating and managing sensitive data spread across multiple repositories.
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Keeping track of permissions and ensuring the right individuals have the correct access levels.
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Managing data sprawl, which can lead to overlooked security gaps and increased risk.
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Automating protection to reduce reliance on limited IT and security staff.

Benefits Overview

Enhance your data security with Semantic Intelligence

Automated Data Discovery

Accurately discover and protect sensitive on-premises data using AI-driven intelligence. 

Risk Remediation

Remediate risks autonomously without the need for complex manual setups or user intervention. 

Easy On Your Staff

Reduce the workload on your security teams by automating data protection and access governance. 

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Automated Data Discovery

Concentric AIs deep learning engine provides a comprehensive, content-focused approach to discovering sensitive data on-premises. Rather than relying on simple file locations, Concentric AI analyzes the context and content of data so that any sensitive information can be identified accurately.  

With our autonomous discovery, you can reduce the time spent on manual data searches, freeing up resources for more critical tasks. Concentric AI helps ensure that sensitive on-premises data remains protected, whether its in SQL, Exchange, Nutanix, Oracle, Windows Server, DellEMC, or other on-prem platforms within your infrastructure. 

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Risk Remediation

Concentric AI simplifies the risk remediation process with intelligent, peer-file analysis, automatically identifying and mitigating risks without any complex manual rules. Our solution is continuously comparing data across your on-premises environment to ensure compliance with security policies and prevent potential breaches. 

Whether its preventing oversharing, incorrect classification, or unauthorized access, Concentric AI ensures your on-premises data stays secure. 

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Easy On Your Staff

Concentric AI reduces the burden on IT and security teams by automating many time-consuming data protection tasks. By autonomously handling data discovery, classification, and remediation, you dont have to rely on end users to manage access permissions. 

That means the risk of human error goes down while your operations become more efficient and secure. 

Integrate Across Your Security Stack - Product overview

Frequently asked questions

What sets Concentric AI apart from other on-premises data protection solutions?
Concentric AI’s autonomous, deep learning solution provides unmatched visibility and control, ensuring your sensitive on-premises data is fully protected.
How does Concentric AI simplify the management of on-premises data?
Concentric AI automates data discovery and classification based on its content, allowing organizations to manage on-premises data without relying on manual processes.
Can Concentric AI help prevent unauthorized access within on-premises environments?
Absolutely! Concentric AI continuously monitors access patterns, remediating misconfigurations and autonomously preventing unauthorized access.
Does Concentric AI support compliance efforts for on-premises data?
Yes. Concentric AI’s automated risk analysis and remediation tools ensure on-premises data complies with various regulatory and security requirements.

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