Concentric AI is an autonomous data security platform that helps organizations discover, classify, and protect sensitive data using artificial intelligence. As businesses increasingly store vast volumes of unstructured data across cloud apps, file shares, email, and collaboration tools, managing risk becomes more complex.
Concentric AI solves this by using deep learning to automatically identify business-critical data, understand its context, and detect risky sharing or access behaviors. It works across structured and unstructured data sources without relying on predefined rules or templates, which allows security teams to focus on real risks rather than constantly tuning policies.
By continuously monitoring data movement and access, Concentric AI gives organizations full visibility into where sensitive data lives, how it’s being used, and who can see it. This makes it easier to prevent data loss, stop insider threats, and meet compliance requirements—all without disrupting productivity.
Features
AI-Powered Data Discovery
Automatically identifies sensitive data like PII, financial records, customer contracts, intellectual property, and more across cloud and on-prem systems.
Context-Aware Classification
Uses deep learning models to understand the context of each file—what it contains, how it’s used, and its business value—without relying on regex or manual tagging.
Risk Assessment and Scoring
Assigns risk scores based on factors such as inappropriate sharing, unauthorized access, or unusual user behavior, helping teams prioritize responses.
Autonomous Policy Enforcement
Recommends or automatically remediates risky data access or sharing, including revoking permissions, notifying users, or applying encryption.
Visibility Across Environments
Supports cloud applications like Microsoft 365, Google Workspace, and Box, as well as on-prem file servers and databases.
User Behavior Monitoring
Detects insider threats and accidental data exposure by analyzing who is accessing sensitive data and how it’s being shared.
No Rules or Templates Needed
Eliminates the need for manual rule creation by leveraging pre-trained machine learning models to adapt to business context.
Data Security Posture Management (DSPM)
Continuously tracks data security posture to help reduce exposure, improve governance, and support audit readiness.
Compliance Mapping
Supports regulatory frameworks such as GDPR, HIPAA, CCPA, and SOX by providing visibility into data use and exposure.
How It Works
Concentric AI connects to cloud services, file repositories, and data stores via secure APIs or agents. Once connected, the platform scans and analyzes unstructured and structured data to identify sensitive content based on its content and context.
It builds a baseline of normal usage patterns and data flows, then continuously monitors for deviations that suggest risk—such as sharing sensitive documents with unauthorized users or accessing files outside of regular workflows.
Security teams can view risk insights through a central dashboard and take action manually or automate remediation through integrations with identity platforms, email, or cloud access tools. Concentric AI also supports alerting and ticketing workflows via tools like Splunk, ServiceNow, and Microsoft Sentinel.
Use Cases
Data Loss Prevention (DLP)
Organizations use Concentric AI to prevent data leaks by identifying and protecting sensitive files from accidental or malicious sharing.
Insider Threat Detection
Monitors how users interact with sensitive data and flags abnormal behavior such as unauthorized downloads or off-hours access.
Cloud Data Risk Management
Identifies exposed or overshared documents in cloud environments like OneDrive, SharePoint, and Google Drive to reduce risk.
Regulatory Compliance Support
Helps businesses maintain data governance practices aligned with laws like GDPR, HIPAA, and CCPA by providing audit-ready insights and continuous monitoring.
Unstructured Data Visibility
Security teams gain visibility into sensitive documents spread across departments, devices, and storage tools—without needing manual inventory.
Automated Remediation
Enables automatic correction of access permissions, user notifications, or other actions to address risks without human intervention.
Pricing
Concentric AI offers custom pricing based on deployment size, number of users, data sources, and enterprise needs. Although detailed pricing isn’t publicly listed, general components influencing cost include:
Volume of data scanned and monitored
Number of integrated data sources (cloud and on-prem)
Level of automation and remediation features
Enterprise support and compliance needs
Organizations can schedule a demo or request a custom quote directly through the official Concentric AI website.
Strengths
Autonomous Classification
No need for rule sets, data dictionaries, or regex patterns—reducing admin overhead and increasing scalability.
AI-Driven Risk Detection
Uses behavioral analytics and machine learning to surface meaningful threats instead of overwhelming teams with false positives.
Multi-Environment Support
Works across cloud apps, file servers, and databases to give a full view of data risk.
Fast Time-to-Value
Deploys quickly with API integrations and minimal configuration, helping security teams act on risks immediately.
Compliance Alignment
Helps map sensitive data to compliance requirements with ongoing visibility and automated remediation options.
Drawbacks
Focused on Unstructured Data
While strong in protecting files and documents, organizations may still need separate tools for structured data like databases.
Less Suitable for Small Businesses
The platform is designed for mid-sized and large enterprises with complex data environments and compliance needs.
Learning Curve for Custom Use Cases
Organizations with unique data classifications may need time to fine-tune risk thresholds or validate AI decisions.
Comparison with Other Tools
Compared to legacy DLP solutions like Forcepoint DLP or Symantec DLP, Concentric AI offers a more modern, AI-powered approach that doesn’t rely on manual policies. It learns from business context and continuously adapts, reducing the need for human configuration.
In contrast with DSPM tools like Dig Security or Cyera, Concentric AI focuses heavily on unstructured data risk in collaboration platforms and file shares, while others may prioritize cloud-native structured data.
For organizations prioritizing visibility into document-level risks across SaaS and hybrid environments, Concentric AI provides stronger out-of-the-box insights with less configuration.
Customer Reviews and Testimonials
Security teams using Concentric AI often highlight how quickly the platform surfaces real risks they weren’t aware of. Many report discovering overshared documents, misconfigured access controls, or compliance gaps early in the deployment.
Customers also appreciate the platform’s intuitive dashboard, minimal setup requirements, and AI-driven risk prioritization that saves them time compared to manual DLP tools.
Early adopters note that support from Concentric’s team is responsive and hands-on during deployment, helping fine-tune use cases and integrations for enterprise environments.
Conclusion
Concentric AI delivers a next-generation approach to data security by using artificial intelligence to autonomously discover, classify, and protect sensitive data. Its ability to understand context and detect risk in real time helps businesses go beyond traditional DLP solutions and embrace smarter, more proactive data protection.
With rising regulatory pressure and growing volumes of unstructured data, Concentric AI offers the visibility and automation enterprises need to reduce risk, streamline compliance, and prevent breaches before they happen.
