Change Auditor Threat Detection offers a unique approach to user threat
detection by modeling individual user behavior patterns to detect anomalous
activity that might indicate suspicious users or compromised accounts. By
analyzing user activity, using proprietary advanced learning technology, user
and entity behavior analytics (UEBA), and sophisticated, scoring algorithms,
Change Auditor Threat Detection ranks the highest risk users in your
organization, identifies potential user threats and reduces the noise from
false positive alerts. Overcome the gaps left behind by native auditing tools
and keep your environment secure.
Change Auditor Threat Detection
Proactively detect user-based security threats in your Microsoft environments
02:29
Quickly and easily discover threats including:
Data exfiltration
Easily identify compromised users or accounts attempting to steal or destroy data.
Malware
Quickly recognize malware attempts to take over user accounts and privileges.
Privileged account misuse
Locate when a program or script has taken control of user credentials.
Brute-force attacks
Identify attackers by correlating repeated security events to related alerts.
Elevated Privileges
Spot improper privilege elevation by highlighting events and related user actions.
Abnormal AD activity
Quickly identify suspicious user activity in AD.
Lateral movement
Locate attackers by comparing patterns of abnormal behavior to user baselines.
Inappropriate system or resource access
Raise alerts on users attempting to access unnecessary data.
Threat detection features
Audit log analysis
Real-time audit log analysis
Efficiently analyze a high volume of audit data in real-time, including AD changes, authentications and file activity. Build user baselines from these raw activity events and proactively detect when users’ behavior appears anomalous so you’re immediately aware of potential suspicious activity.
UEBA
Automated user behavior analytics
Model user activity patterns with no administrator input or configuration required. User behavior baselines are automatically created using unsupervised advanced machine learning, modeling every aspect of a user’s activity, including their logon patterns, administrative activity and file and folder access.
Anomaly detection
Sophisticated behavioral anomaly detection
Identify abnormal user activity by automatically comparing every user action against that user’s behavioral baseline. Sophisticated threat indicator detection and multi-level risk scoring ensure that only the most egregious anomalies are highlighted, representing the riskiest user behaviors.
User threat detection
Pattern-based user threat detection
Rather than rely on rules to detect specific activities, automatically analyze user activity as it happens. Identify the most suspicious users through advanced user behavior pattern detection. Sophisticated global modeling ensures that only the most critical and concerning patterns of user behavior are highlighted, significantly reducing the noise caused by isolated activities and false positives.
Security alerts
View security alerts in context
View all suspicious user activity alerts in the context of the threat indicators that were discovered as part of the alert. Every behavioral anomaly is presented in the context of the user’s baseline activity and with all of the raw events that triggered the alert, clearly indicating why the alert was raised and simplifying the investigation and follow-up.
High-fidelity user analytics
Change Auditor creates audit logs that feed the analytics, so all of the raw event data being used to proactively detect threats in your environment includes valuable information like the who, what, when, where and at which workstation the change originated. Change Auditor ensures no important user actions are missed which could create critical gaps in the user behavior analytics.
Lightweight user threat detection
Leverage your existing Change Auditor infrastructure and audit data to model user behavior so there’s no need to deploy unnecessarily unwieldy additional agents and servers. A single virtual appliance is the only additional infrastructure required to enable advanced user threat analytics.
Stevie Awards 2018 People’s Choice winner
In the 2018 Stevie Award’s People Choice awards, Change Auditor was voted
best software and also won a Silver Stevie for best new product of 2018.
-
Dynamic dashboard
Dynamic dashboard displays the most suspicious user behaviors.
-
Proactive threat detection
Identify the real-time risk level of user activity to detect threats.
-
User behavior baselines
Model user behavior to create a baseline of typical user activity.
-
Anomaly detection
Find abnormal activity by comparing every action against the baseline.
-
Pattern-based detection
Display user threat alerts only when a pattern of suspicious behavior is detected.
-
Alerts in context
Suspicious activity alerts display all indicators as part of the alert.
-
Automated alert priority
Prioritize alerts based on the riskiest users in your environment.
-
Accelerated investigation
View complete alert background with analyses to speed investigations.
-
Risky users details
Details of the risky user helps narrow context and speed security investigations.
Dynamic dashboard
Proactive threat detection
User behavior baselines
Anomaly detection
Pattern-based detection
Alerts in context
Automated alert priority
Accelerated investigation
Risky users details
Specifications
There are specific system requirements for the Change Auditor coordinator (server-side), Change Auditor client (client-side), Change Auditor agent (server-side), and the Change Auditor workstation and web client (optional components). For a full list of system requirements and required permissions for all components and target systems that can be audited by Change Auditor please refer to the Change Auditor Installation Guide.
The Change Auditor coordinator is responsible for fulfilling client and agent requests and for generating alerts.
- Processor
Quad core Intel® Core™ i7 equivalent or better
- Memory
Minimum: 8 GB RAM or better
Recommended: 32 GB RAM or better
- SQL Server
SQL databases supported up to the following versions:
- Microsoft SQL Server 2012 SP4
- Microsoft SQL Server 2014 SP3
- Microsoft SQL Server 2016 SP2
- Microsoft SQL Server 2017
NOTE: Change Auditor supports SQL AlwaysOn Availability Groups, SQL Clusters, and databases that have row and page compression applied.
- Operating system
Installation platforms (x64) supported up to the following versions:
- Windows Server 2012
- Windows Server 2012 R2
- Windows Server 2016
- Windows Server 2019
NOTE: Microsoft Windows Data Access Components (MDAC) must be enabled. (MDAC is part of the operating system and enabled by default.)
- Coordinator software and configuration
For the best performance, Quest strongly recommends:
- Install the Change Auditor coordinator on a dedicated member server.
- The Change Auditor database should be configured on a separate, dedicated SQL server instance.
NOTE: Do NOT pre-allocate a fixed size for the Change Auditor database.
In addition, the following software/configuration is required:
- The coordinator must have LDAP and GC connectivity to all domain controllers in the local domain and the forest root domain.
- x64 version of Microsoft’s .NET 4.7.1
- x64 version of Microsoft XML Parser (MSXML) 6.0
- x64 version of Microsoft SQLXML 4.0
- Coordinator footprint
- Estimated hard disk space used: 1 GB.
- Coordinator RAM usage is highly dependent on the environment, number of agent connections, and event volume.
- Estimated database size will vary depending on the number of agents deployed and audited events captured.
Additional Account Coordinator minimum permissions required, please see Change Auditor Installation Guide .
The Change Auditor Threat Detection Server is a virtual appliance responsible for analyzing the audit logs from Change Auditor and detecting suspicious user behavior patterns. For more details on deploying the virtual appliance please refer to the Change Auditor Threat Detection Deployment Guide.
- Deployment on Microsoft Hyper-V
- Hyper-V host which is running on Windows server 2016
- Threat Detection server requirements:
- Template size: ~10 GB
- CPU: 8 or 16 cores, Minimal 2.3 GHz, Recommended 2.4 GHz.
- RAM: 64 GB
- I/O: 500 MB/sec
- Disk: SAS 320 GB, SAS 930 GB.
- Deployment on VMWare ESX
- VMWare ESXI version 5.5 and above which is managed by VMware Vcenter 5.5 and above
- The following vSphere clients are supported:
- With ESX 5.5 - vSphere Windows client.
- With ESX 6.0 - vSphere Flash client.
- With ESX 6.5 - vSphere Flex client, vSphere HTML5 client.
- Small and medium sized enterprise edition OVA:
- OVA file size: ~10GB
- CPU: 8 cores, Minimal 2.3 GHz, Recommended 2.4 GHz
- RAM: 64 GB
- I/O: 500 MB/sec
- Disk: SAS 320 GB, SAS 930 GB
- Large sized enterprise edition OVA:
- OVA file size: ~10GB
- CPU: 16 cores, Minimal 2.3 GHz, Recommended 2.4 GHz
- RAM: 64 GB
- I/O: 500 MB/sec
- Disk: SAS 320 GB, SAS 930 GB
Resources
Change Auditor Threat Detection
Proactive user behavior-based threat detection for Microsoft environments
Read DatasheetMicrosoft ATA and Azure ATP – How they fit in your defense in depth security strategy?
According to the 2018 Verizon Data Breach Investigations Report, 68% of investigated data breaches went undetected for 60 or more days. Fortunately, platform providers, such as Microsoft, are
Watch Webcast
According to the 2018 Verizon Data Breach Investigations Report, 68% of investigated data breaches went undetected for 60 or more days. Fortunately, platform providers, such as Microsoft, are Watch Webcast
What Is Azure ATP and How Does It Fit into Your Security Strategy?
Being able to quickly detect and respond to threats is essential for both security and regulatory compliance. But it’s not an easy task. On the one hand, you have hackers battering your netwo Read White Paper
How to Spot Insider Threats Before They Wreak Havoc
Change Auditor Threat Detection distills AD audit data down to a manageable number of SMART alerts and highlights the riskiest users through pattern-based
Read E-bookTackling insider threat detection with user behavior analytics
Review challenges detecting an insider threat, benefits and limitations of rule-based tools and explore user behavior analytics threat detection solutions
Read White PaperInside Change Auditor Threat Detection
Identify insider threats with advanced machine learning, user and entity behavioral analytics (UEBA), and SMART correlation technology to stop data breach
Read Technical BriefIntroducing Change Auditor Threat Detection
Be proactive about detecting potential insider threats and anomalous activity by modeling user behavior through unsupervised machine learning.
Watch VideoThree ways a privileged user can hose your Active Directory
This eBook reviews insider threats and eight AD security best practices to reduce risk and recovery time.
Read E-bookGet Started Now
Proactively detect user-based security threats in your Microsoft environments
