Catching the Quiet Threats: When Normal Isn’t Safe

Some of the most damaging breaches don’t start with malware or a known exploit. They begin with activity that looks legitimate: a trusted account logging in from a new location, a service account running processes it never has before, a privileged user making subtle configuration changes. Rule-based systems often miss these threats because nothing appears to violate a predefined policy.

This is where user and entity behavior analytics (UEBA) comes in. New-Scale Analytics, built on the New-Scale Security Operations Platform, applies self-tuning behavioral analytics and machine learning to establish a baseline for every user, device, and service. When activity deviates in subtle but meaningful ways, New-Scale Analytics detects it early, giving your team the insight to act before an incident escalates.

Why Subtle Threats Go Unnoticed

Traditional detection tools rely on static rules, thresholds, or known attack signatures. That works for threats that fit predictable patterns, but it falls short when:

• A legitimate account is compromised and used in ways that mostly align with normal behavior.
• An insider slowly escalates privileges or exfiltrates data in small increments.
• A service account or non-human entity takes actions outside its usual scope.

Without context, such as how the account normally behaves, what systems it usually accesses, or what peers are doing, these shifts blend in with everyday activity.

How New-Scale Analytics Brings the Unseen Into Focus

New-Scale Analytics continuously builds behavioral baselines for each user and entity, adapting as patterns change. It combines machine-learned anomaly detection with advanced correlation to:

• Assign dynamic risk scores based on severity, rarity, and context
• Correlate related activity into threat timelines that give analysts a clear, end-to-end view of what happened
• Integrate with any SIEM or XDR, consolidating visibility across logs, network telemetry, and other security data

A single unusual login may be benign, but when combined with abnormal file access and privilege changes, New-Scale Analytics can flag it as a coordinated, high-risk incident.

AI Agents Built for the SOC

New-Scale Analytics is enhanced by the Exabeam Nova team of AI agents, each designed to support specific SOC roles. The Threat Scoring Agent prioritizes anomalies based on behavioral context and the Investigation Agent automatically builds detailed timelines. This AI-driven support ensures that even the subtlest shifts in behavior are analyzed and elevated to the top of the queue for faster, more accurate investigation.

Real-World Detection Scenarios

Security teams use New-Scale Analytics to uncover threats that rules alone often miss, including:

• Compromised credentials: A trusted user logging in from an unexpected location and accessing new systems
• Insider misuse: A privileged admin quietly modifying permissions over time
• Service account anomalies: Non-human accounts performing unusual data transfers
• Lateral movement: Access to multiple new endpoints in a short period

By detecting these subtle patterns early, teams can investigate before they turn into full-scale breaches.

Proven Outcomes

Organizations using Exabeam UEBA  report:

• 90% faster detection of insider threats
• Up to 60% fewer alerts to review, with minimal false positives
• 80% faster investigations thanks to automated timelines, enriched context, and natural-language search

These results mean analysts spend more time on meaningful investigations and less time chasing activity that turns out to be harmless.

Closing Detection Gaps Before Attackers Find Them

New-Scale Analytics integrates with Outcomes Navigator to ensure detection coverage keeps pace with evolving threats. It maps detections to the MITRE ATT&CK^® framework and key use cases, identifies missing log sources or weak parsing, and recommends targeted improvements. This continuous feedback loop helps teams strengthen security posture over time, making it harder for elusive threats to slip through unnoticed.

Why New-Scale Analytics Stands Out

New-Scale Analytics delivers scalable, flexible detection and investigation without overhauling your existing security stack. It incorporates late-arriving data into ongoing investigations, supports native network telemetry from the NetMon real-time network monitoring and analysis tool for deeper visibility, and adapts continuously to your environment.

Whether the risk comes from an external attacker or a trusted insider, New-Scale Analytics ensures you see and understand it before it escalates.

Learn more: The Ultimate Guide to User and Entity Behavior Analytics explores how behavioral analytics works, the threats it uncovers, and how leading security teams use it to protect their organizations.