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User behavior analytics with ADAudit Plus
Per-user machine learning baselines
ADAudit Plus builds a dynamic behavioral baseline for each individual user, not domain-wide averages. Deviations in logon time, activity volume, or resource access are flagged against that user's own pattern.
Privilege abuse detection
Receive notifications when there is an unusual (and possibly unauthorized) volume of user management activity. You can also track privileges that are utilized for the first time to identify actions that deviate from a privileged user's normal scope.
Logon anomaly detection
Traditional security tools rely on static rules or passwords. If an attacker acquires a valid username and password, they appear as a legitimate user. UBA focuses on how the account is being used, not just the credentials used to enter it. So such logons will be flagged as anomalies when they deviate from established baselines.
Real-time alerts with automated response
When a behavioral threshold is crossed or an attack is detected, ADAudit Plus notifies your team instantly and can auto-create a ticket in supported ITSM tools without manual intervention. This is particularly useful for high-risk actions such as anomalous logons, mass data modifications, and so on.
Hyperactive account identification
The machine learning algorithm monitors and filters accounts associated with unusually high file access or process activity and immediately isolates compromised user accounts.
30+ dedicated UBA reports
Each UBA report targets a specific anomaly category: unusual logon time, logon failure spike, first-time host access, unusual file deletion volume. Each gives you a focused starting point for investigation.
How user behavior analytics software helps detect threats
User behavior analytics (UBA) software applies statistical modeling and machine learning to the activity data generated by users across an IT environment. Rather than looking for specific signatures, a UBA tool builds a baseline of what normal looks like for each user and alerts when observed activity diverges meaningfully from that baseline. This allows organizations to detect threats that rules alone miss: the insider who exfiltrates data slowly over weeks, the compromised account that first appears at an unusual hour, the attacker who has already bypassed the perimeter and is moving laterally through your network.
ADAudit Plus applies this directly to Active Directory, where most identity-based attacks unfold. The product ingests Windows security event data from domain controllers, member servers, workstations, and file servers, then layers machine learning on top to detect behavioral anomalies across logon activity, user management actions, lockout patterns, process execution, and file operations. Because ADAudit Plus is purpose-built for AD environments, its baselines and detections are tuned to the specific behaviors that matter to IT admins and security teams working in Windows infrastructure.
What ADAudit Plus monitors and baselines
ADAudit Plus builds per-user and per-host baselines across six behavioral domains. Each baseline reflects the individual pattern for that account or host, not a domain average.
| Behavioral domain | What ADAudit Plus baselines and reports on |
|---|---|
| Logon activity | Normal logon hours, typical failure volumes, and usual source machines per user; deviations trigger anomaly reports |
| User management actions | Volume and timing of account management events per admin; spikes above the individual baseline are flagged |
| Account lockout patterns | Lockout frequency and timing at the domain level; unusual volumes or off-hours lockouts are surfaced |
| File activity | Read, write, modification, and deletion volumes per user; sudden spikes indicate potential exfiltration or ransomware |
| Process execution | The baseline set of processes running on each monitored host; first-time processes are flagged for review |
| Remote access | The set of hosts each user normally accesses remotely; first-time remote access to a host triggers an alert |
| Dormant admin accounts | Administrative user accounts that have not performed any action in a specified period |
View dynamic baselines for the normal volume and time of user actions.
Detect deviations from this baseline when they occur.
Detect anomalous user behavior with machine learning
ADAudit Plus maintains 31 dedicated UBA reports, each covering a distinct anomaly category. When a user's activity crosses the threshold established by their individual baseline, the event appears in the relevant report with full context to investigate or dismiss it.
- A spike in logon failures above a user's individual baseline, logon attempts outside established working hours, and other actions that warrant investigation are reported on.
- When a user accesses a host they have never accessed before, a dedicated report captures it as a lateral movement signal.
- A sudden spike in file modifications above a user's baseline gets flagged, one of the strongest ransomware indicators available from Windows event data.
- Unusual file deletion volumes, failed file access spikes, and file activity outside normal hours are each tracked in separate reports so different threat scenarios are not collapsed into a single alert.
The analytics engine uses data on the user's past logon behavior to identify and alert on all deviations from the baseline logon time value.
Detect active AD attacks, not just anomalies
To supplement machine learning-based threat detection, ADAudit Plus has builtin capabilities to detect known threats. Attack Surface Analyzer in ADAudit Plus detects 25+ Active Directory attack techniques by name, including Kerberoasting, Golden Ticket attacks, DCSync, pass-the-hash, pass-the-ticket, RID hijacking, DCShadow, and Skeleton Key.
Monitor privileged user behavior
Privileged accounts need closer behavioral scrutiny than standard user accounts. A compromised admin credential, a rogue insider with elevated access, or a technician who has accumulated permissions beyond their role all produce behavioral patterns that differ from what a legitimately operating admin does day to day.
- ADAudit Plus baselines privileged user activity separately, covering the volume and timing of administrative actions across user management, group management, GPO changes, and permission modifications.
- It flags admins whose account management activity spikes above their individual baseline, a signal that either a compromised credential is being used or that a change automation process has gone wrong.
- Admin activity occurring at unusual hours is tracked to quickly detect potential signs of account or user compromise.
- First-time use of a privilege is captured to know the first time an account exercises a right it holds but has never previously used. That's one of the clearest indicators of privilege abuse.
Get real-time alerts and automate incident response
Detecting an anomaly or attack is only useful if the right people know about it fast enough to act. ADAudit Plus ships with 50+ pre-configured alert profiles covering the behavioral and attack scenarios most likely to require immediate attention.
When an alert fires, ADAudit Plus can automatically create a ticket in supported ITSM tools so the incident is logged and assigned with full context and without a manual hand-off.
Why native tools fall short
Windows Security Event logs contain the raw data that UBA depends on. The problem is that they're designed for collection, not analysis. Several structural limitations make native tools impractical for behavioral analytics at any meaningful scale.
- Security event logs are stored locally on each domain controller. In a multi-DC environment, correlating a single user's activity requires pulling logs from every controller individually; there's no native consolidated view.
- Event Viewer provides no baselining capability. It records that 47 failed logons occurred; it doesn't tell you whether that's normal for this user or a significant deviation from their pattern.
- PowerShell can aggregate logs across domain controllers, but building and maintaining the scripts needed to baseline per-user behavior, detect deviations, and generate consistent reports is a significant ongoing engineering investment, not a security monitoring capability.
- Native tools have no concept of entity baselines for hosts, no first-time access detection, and no correlation between on-premises and cloud identity activity.
ADAudit Plus replaces that manual, fragmented workflow with a purpose-built UBA engine. Baselines are built automatically, anomalies surface through dedicated reports, and named attack techniques are detected and presented with forensic timelines. The same data that drives behavioral detection feeds your compliance reports, all from a single console.
4 compelling reasons to choose ADAudit Plus
Widely recognized
ADAudit Plus has been recognized as a Gartner Peer Insights Customers' Choice for Security Incident & Event Management (SIEM) for four consecutive years.
Easy deployment
Go from downloading ADAudit Plus to receiving predefined reports and alerts in under 30 minutes, without any professional help.
Competitive pricing
ADAudit Plus is licensed per-server, unlike other IT auditors which are licensed per-user. With per-server licensing, even with a growing number of users each year, you can continue to ingest log data without additional costs.
Unified visibility
ADAudit Plus consolidates auditing, security, and compliance across Active Directory, Entra ID, Windows servers, workstations, and file servers into a single pane of glass, eliminating the need to juggle multiple tools.
Frequently asked questions
UBA software applies machine learning to user activity data to build behavioral baselines and flag deviations. Rather than matching known signatures, it surfaces threats that rules miss: compromised accounts authenticating at unusual hours, insiders exfiltrating data gradually, and attackers moving laterally after bypassing the perimeter.
A UBA tool ingests Windows security event data from domain controllers, member servers, and workstations, then builds a per-user behavioral baseline. When activity diverges, such as an unusual logon time, a spike in failed authentications, or first-time host access, the deviation surfaces in a dedicated anomaly report for investigation.
UBA detects insider threats, compromised accounts, and active attack techniques that signature-based tools miss. ADAudit Plus provides dedicated anomaly reports covering logon deviations, file activity spikes, privilege escalation, and first-time access events.
UBA detects insider threats by building a per-user behavioral baseline and alerting on deviations: unusual logon hours, file deletion spikes, first-time access to a sensitive resource, or a sudden increase in admin activity. In ADAudit Plus, these anomalies surface through 31 dedicated UBA reports with real-time alerting.
Yes. The Attack Surface Analyzer detects 25+ named Active Directory attack techniques, including Kerberoasting, Golden Ticket, DCSync, pass-the-hash, and RID hijacking, plus 15+ network attacks and 20+ process attacks. Each detection includes a forensic timeline covering activity before, during, and after the event.