Identify and reduce excessive permissions, risky sharing, and anomalous behavior.
The way people access, share, and use information has changed dramatically.
The biggest data risks often stem from everyday actions, not from bad intentions.
Employees may share, download, or upload sensitive information simply to get their jobs done.
A spike in downloads or unusual sharing activity means little if you don’t understand the data involved.
Without knowing what data is at risk, security teams struggle to separate normal behavior from real threats.
You need insightful intelligence about both the behavior and the data behind it.
Spot risky activity by understanding who is interacting with sensitive data and why it matters.
Identify anomalous activity such as excessive downloads, unusual sharing, suspicious deletions, and unexpected data movement.
The Semantic Intelligence™ Engine reveals whether activity involves sensitive, regulated, or business-critical information.
Focus investigations on behaviors that create real exposure, rather than on every unusual event.
Protect sensitive data while enabling employees, collaboration, and AI innovation.
Identify potential insider incidents before sensitive information moves beyond your control.
Quickly understand who did what, when they did it, and with which data.
Maintain visibility across file sharing, email, cloud applications, and AI workflows.
Give employees the freedom to work while keeping critical data protected.
Add data context to behavioral analytics so teams can focus on the risks that matter most.
An insider threat is any risk to sensitive information posed by someone with legitimate access to organizational data. While malicious insiders do exist, many insider risks are unintentional—such as oversharing files, uploading sensitive data to personal applications, downloading large amounts of information, or using AI tools without understanding the associated exposure.
No. The Concentric AI Semantic Intelligence™ platform is not designed to surveil employees or judge normal workplace activity. Instead, it helps security teams understand when user behavior poses a potential risk by analyzing activity in the context of the data involved. For example, a large download may be routine or may represent a serious exposure, depending on the data accessed and how it is being used.
Concentric AI combines user behavior data analytics with its platform to identify unusual activity involving sensitive information. It detects behaviors such as excessive downloads, unexpected sharing, uploads to personal applications, large-scale deletions, and other anomalous actions, then provides context about the data involved so teams can focus on meaningful risk.
Traditional UEBA solutions often focus on identifying unusual behavior patterns. Our platform adds critical data context by understanding what information is involved, how sensitive it is, and the potential business impact. This helps security teams distinguish between activity that is unusual and activity that is truly risky.
Not all data is equally sensitive, and not all unusual behavior is a threat. Context helps organizations determine whether an action involves customer information, intellectual property, regulated data, or other critical assets—enabling their teams to prioritize the risks that matter most.
Yes. Concentric AI helps organizations identify risky data interactions before they become incidents. By understanding sensitive data, user behavior, access patterns, and sharing activity, security teams can proactively address exposures while still enabling employees to collaborate and innovate.
AI introduces new ways for sensitive information to be accessed and shared. Concentric AI helps organizations understand when employees interact with AI tools, what data is involved, and where additional controls may be needed—enabling responsible AI adoption without unnecessarily limiting productivity.