User Activity Monitoring: How It Works & 6 Best Practices

What Is User Activity Monitoring (UAM)? 

User Activity Monitoring (UAM) is the practice of tracking, recording, and analyzing individual actions and digital behavior on company devices, networks, and IT resources. It provides visibility into employee, contractor, and third-party activities, helping organizations identify suspicious behavior, detect insider threats, investigate security incidents, and meet regulatory compliance requirements.

UAM solutions collect information about user actions, such as application usage, file access, website visits, login attempts, data transfers, and system configuration changes. More advanced solutions can also capture screenshots, record user sessions, track keystrokes where legally permitted, and generate alerts when activities violate security policies.

Core features of UAM software include:

• Work-scoped monitoring: Tracking activities within corporate applications and workspaces while keeping personal browsing, files, and applications outside the monitoring scope.
• BYOD and unmanaged device support: Monitoring work-related activities on personal devices through secure browsers, virtual desktops, or isolated workspaces without requiring full device control.
• Real-time alerts and blocking: Detecting suspicious activities and enforcing policies that restrict unauthorized downloads, clipboard transfers, printing, and uploads to unapproved applications.
• Forensic search and session playback: Searching activity logs by user, application, file, or time range and replaying recorded sessions to investigate incidents and attribute actions to individual users.
• Security tool integrations: Exporting activity logs and connecting with SIEM, DLP, and identity management systems to correlate security events, investigate threats, and enforce access policies.

This is part of a series of articles about contingent workers

How User Activity Monitoring Works 

Step 1: Collecting Activity Data from Endpoint Agents, Network Traffic, and System Logs

UAM solutions gather activity data from multiple sources to provide visibility into how users access and interact with corporate resources. Endpoint agents installed on company-managed devices can capture application usage, file operations, browser activity, clipboard events, and other user actions. Some agents also support screenshots and session recordings, allowing security teams to reconstruct activities during investigations.

Network monitoring provides another layer of visibility by analyzing connections between users, applications, and external services. It can identify unusual data transfers, access to unauthorized destinations, and communication with potentially malicious servers. Meanwhile, system and application logs provide records of authentication attempts, permission changes, resource access, and administrative actions.

Combining these data sources helps organizations correlate user identities with activities and security events. However, visibility depends on the monitoring architecture. For example, network monitoring alone may not reveal actions within encrypted sessions, while endpoint agents may not be available on personal devices used by contractors or remote employees.

Step 2: Building Behavior Baselines and Triggering Risk-Based Alerts

After collecting activity data, UAM solutions analyze it to identify suspicious behavior and potential policy violations. Many platforms establish behavioral baselines by learning what normal activity looks like for individual users, departments, or organizational roles. These baselines may consider typical working hours, frequently accessed applications, common file operations, and historical data transfer patterns.

The system compares new activities against these baselines and predefined security rules. For example, an employee downloading hundreds of sensitive documents outside normal working hours might trigger an alert, particularly if the activity differs significantly from their usual behavior. Other warning signs include repeated unauthorized access attempts, unusual administrative actions, and attempts to transfer confidential files to unapproved destinations.

Advanced UAM platforms may use machine learning, behavioral analytics, and contextual risk scoring to prioritize alerts based on their potential impact. This helps security teams focus on activities that warrant investigation rather than reviewing every recorded event. Risk-based monitoring can also reduce false positives by considering factors such as user roles, authorized workflows, and the sensitivity of accessed resources.

Step 3: Storing Activity Logs and Session Recordings for Search and Playback

UAM platforms store collected activity records in centralized repositories, making them available for security investigations, compliance reviews, and internal audits. These records typically include timestamps, user identities, device information, applications accessed, and descriptions of actions performed. Some platforms also maintain screenshots or full session recordings that show how users interacted with corporate systems.

Search and playback capabilities allow security teams to reconstruct the sequence of events surrounding a suspected incident. For example, investigators can search for a user, file, application, or time period to determine whether sensitive information was accessed, modified, or transferred. Session playback can provide additional context that individual log entries might not capture, helping investigators distinguish legitimate work from unauthorized activity.

Because activity logs and recordings may contain sensitive corporate information and personal data, organizations need appropriate security and privacy controls. These include encryption, role-based access restrictions, configurable retention periods, and audit trails documenting who accessed monitoring records. Organizations should also limit collection to legitimate business and security purposes and ensure monitoring practices comply with applicable employee privacy and data protection laws.

Types of User Activity UAM Captures 

Application, Website, and AI Tool Usage

UAM solutions track which applications and websites users access, how frequently they use them, and how much time they spend interacting with different services. This visibility helps organizations identify:

• Unauthorized software
• Risky browsing behavior
• The use of applications that fall outside approved security policies

For example, monitoring may reveal employees accessing personal cloud storage services or using unapproved collaboration platforms to handle confidential business information. AI tool usage monitoring is becoming increasingly important as employees adopt generative AI assistants and other AI-powered applications. 

UAM can help detect shadow AI usage, including interactions with unapproved chatbots, AI coding assistants, and external AI services. Depending on the monitoring technology, organizations may also identify sensitive information being copied or uploaded into AI tools, helping reduce the risk of accidental data exposure.

File Transfers, Clipboard Actions, Printing, and USB Use

UAM solutions monitor how users access, modify, copy, and transfer files across corporate systems. This includes tracking downloads, uploads, file deletions, and transfers between local devices, network shares, and cloud storage platforms. Monitoring these operations helps organizations identify:

• Unusual data movement
• Unauthorized sharing
• Potential attempts to remove sensitive information from the corporate environment

Clipboard monitoring provides visibility into copy-and-paste actions that could expose confidential data. For example, a user might copy customer records from an internal application and paste them into a personal email account or an unauthorized AI service. Similarly, print monitoring can identify attempts to produce physical copies of sensitive documents, while USB monitoring detects file transfers to removable storage devices.

Advanced endpoint security and monitoring solutions can combine these signals with data loss prevention (DLP) policies to prevent unauthorized transfers rather than simply recording them. For instance, organizations may block copying sensitive files to personal applications, restrict printing, or prevent data from being saved to external drives. These controls are particularly useful in BYOD environments, where separating corporate information from personal device activity helps maintain security without unnecessarily monitoring private usage.

Privileged User Sessions and Administrative Commands

Privileged accounts have elevated permissions that allow users to:

• Modify system configurations
• Access sensitive databases
• Manage identities
• Perform administrative operations

Because these accounts can make significant changes to corporate infrastructure, UAM solutions often provide more detailed monitoring of privileged sessions than ordinary user activities.

Privileged session monitoring can capture administrative logins, command execution, configuration changes, file access, and interactions with critical infrastructure. Some solutions record complete sessions, allowing security teams to review the actions taken by system administrators, external IT contractors, and other users with elevated access. This visibility helps detect unauthorized privilege escalation, suspicious command sequences, and attempts to disable security controls.

Organizations can integrate UAM with privileged access management (PAM) systems to associate recorded activities with specified identities, access requests, and approved administrative tasks. For example, if an administrator modifies permissions or exports sensitive database records, investigators can review the corresponding session to determine whether the actions were authorized. Detailed records also support compliance audits by providing evidence of how privileged access was used and whether security policies were followed.

Why Organizations Use User Activity Monitoring 

Detecting Insider Threats and Compromised Accounts

Insider threats can originate from employees, contractors, or other authorized users who intentionally or accidentally expose sensitive information. Traditional security tools may struggle to detect these threats because the activities often involve legitimate accounts and approved applications. User activity monitoring helps identify suspicious behavior within authorized sessions, such as unusual file downloads, unauthorized data transfers, or attempts to access information outside a user’s normal responsibilities.

UAM also helps detect compromised accounts by identifying deviations from established behavioral patterns. For example, an attacker using stolen credentials might access unfamiliar systems, download large volumes of sensitive information, or perform administrative actions that the legitimate user rarely executes. Behavioral analytics can flag these activities even when authentication succeeds.

By combining activity records with risk-based alerts, organizations can investigate potential threats before they escalate into major incidents. Session recordings and detailed audit logs also help security teams reconstruct suspicious activities, determine the scope of an incident, and identify which information or systems were affected.

Meeting Compliance and Audit Requirements (HIPAA, PCI DSS, SOX, ISO 27001)

Organizations in regulated industries must demonstrate that they protect sensitive information, control access to critical systems, and maintain appropriate records of security-relevant activities. UAM supports these objectives by collecting user activity logs, documenting access to sensitive resources, and providing evidence for internal and external audits.

Different regulatory frameworks and standards establish requirements that UAM can help address:

• HIPAA: Supports audit controls for systems containing electronic protected health information (ePHI), helping healthcare organizations review access and investigate potentially inappropriate activity.
• PCI DSS: Helps organizations monitor and record access to cardholder data and critical systems, supporting requirements for audit logging, user accountability, and security monitoring.
• SOX: Supports internal controls over financial reporting by helping organizations track administrative actions, access to financial systems, and changes that could affect the integrity of financial data.
• ISO 27001: Supports information security controls related to logging, monitoring, access management, and the protection of organizational information assets.

UAM does not automatically establish compliance with these frameworks. However, it can provide supporting evidence through searchable activity logs, session records, and audit trails. Organizations must also configure monitoring, retention, access restrictions, and privacy safeguards according to the requirements applicable to their operations.

Securing Contractors, Remote Workers, and BYOD Devices

Remote work and third-party access introduce security challenges because users may connect to corporate applications from personal computers, unmanaged endpoints, and external networks. Organizations often have limited visibility into how sensitive information is handled outside company-controlled infrastructure, increasing the risk of unauthorized transfers, accidental disclosures, and data remaining on devices after an engagement ends.

UAM helps organizations maintain visibility into work-related activities regardless of where users are located. For example, security teams can monitor access to corporate applications, identify unusual downloads, and investigate attempts to transfer sensitive files to unauthorized destinations. This is particularly valuable for contractors who require temporary access to confidential information but do not use company-issued devices.

For BYOD environments, monitoring should focus on corporate resources rather than unrestricted surveillance of personal devices. Organizations can use secure enterprise browsers, virtual desktops, or company-controlled secure enclaves to isolate business applications and data from the personal environment. These approaches can support monitoring and enforcement of corporate security policies while limiting visibility into employees’ personal applications, browsing, and files.

Related content: Read our article about contingent workforce management software

Identifying Productivity Gaps and Workflow Bottlenecks

Beyond cybersecurity, organizations may use UAM to understand how employees interact with business applications and identify inefficiencies in everyday workflows. Activity data can reveal frequently used tools, repetitive manual processes, excessive application switching, and tasks that require more time than expected.

For example, monitoring might show that employees repeatedly transfer information between disconnected applications or spend significant time navigating complicated internal systems. These patterns can help IT and operations teams identify opportunities for automation, simplify workflows, and improve the usability of business applications. Aggregated activity data can also support decisions about software licensing and resource allocation by showing which tools employees actively use.

However, activity monitoring should not be treated as a direct measure of employee productivity. Time spent in an application, keyboard activity, or the number of completed interactions does not necessarily reflect work quality or business outcomes. Organizations should prioritize aggregated insights, transparent monitoring policies, and clearly defined business objectives rather than relying on invasive individual surveillance.

UAM vs. UEBA, DLP, and SIEM 

UAM vs. User and Entity Behavior Analytics (UEBA)

UAM focuses on recording and tracking user activities, while UEBA analyzes behavioral patterns to identify anomalies and potential threats:

• UAM solutions capture actions such as application usage, file access, data transfers, and administrative commands. This information helps security teams understand what individual users did, when they did it, and which corporate resources were involved.
• UEBA takes a broader analytical approach by examining activity patterns across users and other entities, including devices, applications, and service accounts. It uses statistical analysis, machine learning, and behavioral baselines to identify unusual activities that could indicate insider threats, compromised credentials, or unauthorized access. For example, UEBA might flag an employee accessing unfamiliar systems at unusual hours, while UAM provides detailed records of the actions performed during that session.

The technologies complement each other. UAM provides granular activity data that can support behavioral investigations, while UEBA helps prioritize suspicious behavior across large environments. Some advanced UAM platforms also incorporate UEBA capabilities, allowing organizations to combine activity tracking with automated anomaly detection.

UAM vs. Data Loss Prevention (DLP)

UAM provides visibility into how users interact with corporate information, while DLP focuses on detecting and preventing unauthorized exposure or transfer of sensitive data:

• UAM records activities such as file downloads, clipboard operations, printing, and transfers to external storage devices. These records help organizations investigate how information was accessed or moved.
• DLP solutions inspect or classify data based on its content, sensitivity, and organizational policies. They can detect attempts to share confidential documents, customer records, or financial information through unauthorized channels. Depending on the implementation, DLP can block file transfers, restrict uploads to personal cloud storage, prevent copying sensitive information, or warn users before potentially risky actions.

For example, if an employee attempts to upload a confidential document to a personal storage account, DLP may block the transfer based on the document’s classification. UAM can provide additional context by showing which applications the employee used and what activities preceded the attempt. Combining both technologies helps organizations understand potential data exposure incidents while enforcing preventive security controls.

UAM vs. Security Information and Event Management (SIEM)

UAM focuses on detailed user interactions, while SIEM aggregates and correlates security events from multiple systems across the organization: 

• UAM solutions collect activity records from endpoints, applications, and user sessions, providing visibility into actions such as file access, application usage, and administrative operations.
• SIEM platforms collect logs and events from a much wider range of sources, including firewalls, servers, identity providers, cloud services, endpoint security tools, and network infrastructure. They normalize and correlate this information to identify potential security incidents, generate alerts, and support centralized investigation and reporting. However, SIEM platforms typically do not provide the same level of direct user-session visibility as dedicated UAM solutions.

Integrating UAM with SIEM allows security teams to correlate individual user actions with broader security events. For example, a SIEM might detect suspicious authentication activity followed by an unusually large data transfer, while UAM records help investigators determine which files were accessed and what actions occurred during the session. This combination improves incident investigation by connecting high-level security alerts with detailed user activity evidence.

Challenges and Drawbacks of User Activity Monitoring 

Alert Fatigue and False Positives

UAM solutions can generate large volumes of activity data, especially in organizations with hundreds or thousands of employees. Monitoring file operations, application usage, browser activity, and administrative commands may produce numerous alerts, many of which involve legitimate business activities. Without proper filtering and prioritization, security teams can become overwhelmed by notifications and struggle to identify genuine threats.

False positives are particularly common when monitoring rules lack sufficient context. For example, an employee downloading large numbers of files might trigger a data exfiltration alert, even though the activity is part of an authorized migration project. Similarly, employees working outside normal business hours may be flagged as suspicious despite following legitimate schedules. Excessive false positives can reduce analyst productivity and increase the likelihood that important alerts are overlooked.

Organizations can address these challenges by establishing behavioral baselines, adjusting alert thresholds, and incorporating contextual risk factors such as user roles, device trust, and data sensitivity. Integrating UAM with behavioral analytics and automated alert prioritization can help security teams focus on high-risk incidents rather than investigating every unusual action.

Employee Trust, Morale, and Privacy Concerns

User activity monitoring can create concerns about workplace surveillance, particularly when organizations collect detailed information about application usage, browsing activity, keystrokes, or screen content. Employees may perceive extensive monitoring as a lack of trust, potentially affecting morale, engagement, and workplace relationships. These concerns become more pronounced when monitoring extends beyond security-related activities into individual productivity tracking.

Privacy risks arise when monitoring tools capture personal information unrelated to legitimate business purposes. For example, screenshots or session recordings might inadvertently capture private messages, personal accounts, financial information, or sensitive employee data. Organizations must also consider applicable privacy and employment laws, which may require transparency, proportionality, consultation, or other safeguards before certain monitoring practices can be implemented.

To minimize these concerns, organizations should establish clear monitoring policies that explain what information is collected, why it is needed, and who can access it. Monitoring should be limited to legitimate security and operational objectives, with appropriate retention periods and access controls. Where possible, organizations can restrict monitoring to corporate applications and work environments rather than collecting information about employees’ personal activities.

Coverage Gaps on Unmanaged and Personal Devices

Traditional UAM solutions often rely on endpoint agents installed directly on users’ computers. While this approach works for company-managed devices, it becomes more difficult when employees, contractors, and third-party partners access corporate resources from personal or unmanaged endpoints. Organizations may lack the administrative permissions required to install monitoring software, or users may be unwilling to accept agents that could observe personal activity.

Agentless monitoring methods also have limitations. Network-based monitoring may identify connections and data transfers but cannot always reveal detailed actions within encrypted applications. Cloud application logs can provide visibility into authentication events and file operations, but they may not capture clipboard activity, local downloads, or interactions outside the monitored application. These gaps make it harder to reconstruct incidents and consistently enforce data protection policies.

Organizations can reduce these limitations by adopting architectures that separate corporate activities from personal device environments. Virtual desktop infrastructure (VDI), enterprise browsers, and secure enclaves can provide controlled workspaces where business applications and data remain subject to corporate security policies. Depending on the solution, these approaches can support activity monitoring, restrict unauthorized data transfers, and enable access revocation without requiring unrestricted monitoring of the employee’s personal device.

Key Features to Look for in UAM Software 

Work-Scoped Monitoring That Keeps Personal Activity Private

Traditional UAM tools may capture activity across an entire endpoint, including personal applications, browsing sessions, and files unrelated to work. This creates privacy concerns, particularly when employees use their own computers. Work-scoped monitoring limits visibility to corporate applications, data, and sessions, allowing organizations to investigate security incidents without collecting unnecessary personal information.

Look for solutions that can distinguish corporate activity from personal activity through:

• Application-level controls
• Secure workspaces
• Isolated enterprise environments

For example, a solution might record file transfers and clipboard actions within a managed corporate workspace while leaving personal browsers, messaging applications, and local files outside its monitoring scope.

The platform should also support configurable monitoring policies, role-based access to activity records, and retention limits. These capabilities help organizations apply monitoring proportionately, reduce unnecessary data collection, and meet applicable privacy requirements.

Support for BYOD and Unmanaged Devices Without Full Device Control

UAM software should support employees and contractors who access company resources from personal or unmanaged computers. Traditional endpoint monitoring tools often require administrative privileges, device enrollment, or installation of agents with extensive operating system permissions. These requirements can make deployment difficult and raise concerns about corporate visibility into personal devices.

Look for monitoring solutions that secure corporate activities without requiring full management of the underlying device. Technologies such as secure enterprise browsers, virtual desktops, and company-controlled secure enclaves can provide visibility into work-related interactions while maintaining separation from personal applications and data.

Organizations should also evaluate whether the solution supports:

• Secure onboarding and offboarding
• Conditional access policies
• Remote removal of corporate information

For example, when a contractor’s engagement ends, administrators should be able to revoke access and remove company data from the controlled workspace without affecting the contractor’s personal files or applications.

Real-Time Alerts, Blocking, and Policy Enforcement

Effective UAM software should do more than record user activity for later investigation. Real-time monitoring and policy enforcement help organizations identify potentially risky actions as they occur and, where supported, prevent unauthorized activities before sensitive information leaves the corporate environment.

Look for configurable policies that detect events such as:

• Unusual file downloads
• Attempts to copy confidential information
• Unauthorized application usage
• Transfers to unapproved destinations

Advanced solutions may combine predefined rules with contextual signals, including user identity, application sensitivity, and historical behavior, to prioritize alerts and reduce false positives.

Blocking capabilities are particularly valuable for preventing data loss. Depending on the platform, administrators may be able to restrict clipboard transfers, file downloads, printing, screen capture, or uploads to personal cloud storage and AI applications. The solution should also support exceptions for legitimate business workflows and maintain records of blocked activities for investigation and auditing.

Forensic Search and Session Playback with User Attribution

UAM software should make it easy for security teams to investigate suspicious behavior without manually reviewing large volumes of unrelated activity records. Forensic search capabilities allow investigators to locate relevant events using criteria such as:

• User identity
• Device
• Application
• File name
• Activity type
• Time range

Session playback provides additional context by allowing investigators to review recorded interactions surrounding a security event. For example, if an employee is suspected of copying sensitive customer information, investigators can examine the sequence of application interactions, file operations, and data transfers to understand what happened. The level of detail available depends on the solution, with some platforms providing visual session recordings and others relying on event logs.

Reliable user attribution is equally important. The platform should associate recorded actions with authenticated identities, including employees, contractors, and privileged users. Look for integration with identity providers, searchable timestamps, tamper-resistant records, and access-controlled playback to support investigations while protecting the sensitive information contained in activity recordings.

Log Export and Integration with SIEM, DLP, and Identity Tools

UAM software should integrate with an organization’s existing security tools rather than operate as an isolated monitoring system. Log export and API integrations allow security teams to:

• Correlate user activities with broader security events
• Automate investigations
• Enforce consistent security policies across different platforms

Integration with security information and event management (SIEM) systems enables centralized collection and correlation of activity records. Data loss prevention (DLP) integrations can help connect user behavior with sensitive data movement, while identity and access management (IAM) integrations provide context about user roles, permissions, authentication events, and account status.

Look for support for standard log formats, documented APIs, webhooks, and integrations with commonly used security platforms. The solution should preserve important context, including user identity, activity timestamps, affected resources, and policy decisions, when exporting records. This enables security teams to investigate incidents across multiple systems without losing the relationship between user actions and security alerts.

Best Practices for Implementing User Activity Monitoring

Here are some of the ways that organizations can better monitor user activity.

1. Publish a Written Monitoring Policy and Inform Users Before Rollout

Before deploying UAM software, establish a written policy that explains what activities will be monitored, why monitoring is necessary, and how collected information will be used. The policy should identify the applications, devices, and data covered by monitoring, along with the circumstances under which security teams may review individual activity records. It should also explain whether monitoring includes screenshots, session recordings, or other potentially sensitive information.

Inform employees, contractors, and other affected users before monitoring begins. Depending on applicable laws and employment arrangements, organizations may need to provide notices, consult employee representatives, or obtain consent where legally required. Monitoring policies should also be reviewed by legal, HR, and security teams to ensure they align with relevant privacy and employment regulations.

Clear communication helps establish expectations and reduce concerns about excessive surveillance. Organizations should explain that monitoring is intended to protect corporate systems and information rather than continuously evaluate individual employees. Periodically reviewing the policy also helps ensure that monitoring practices remain appropriate as technologies, business requirements, and regulations change.

2. Limit Monitoring to Work Applications and Company Data

Collecting activity data from an entire device can expose unnecessary personal information, especially when employees use personal computers for work. Apply the principle of data minimization by limiting monitoring to corporate applications, files, and business-related interactions. This reduces privacy risks while keeping security teams focused on activities relevant to protecting organizational resources.

For BYOD environments, consider solutions that separate corporate applications and data from the user’s personal environment. Secure enterprise browsers, virtual desktop infrastructure (VDI), and company-controlled secure enclaves can establish monitored workspaces without requiring unrestricted access to personal files, browsing history, or applications. Depending on the technology, organizations can also enforce restrictions on copying, downloading, or transferring corporate information outside these environments.

Configure monitoring policies according to the sensitivity of the information being accessed and the risks associated with different workflows. For example, activities involving financial records or customer databases may require more detailed logging than routine access to internal collaboration tools. Avoid collecting sensitive content when metadata or event-level records are sufficient for the intended security purpose.

3. Apply Extra Monitoring to Privileged Users and Third-Party Contractors

Not all users present the same level of security risk. System administrators, database operators, external IT providers, and contractors may have access to sensitive information or critical infrastructure. Use risk-based monitoring policies that provide greater visibility into privileged activities and high-risk third-party access without imposing the same level of monitoring on every employee.

For privileged users, consider recording administrative sessions, command execution, permission changes, and access to critical systems. Integrating UAM with privileged access management (PAM) can help associate activities with individual identities, approved access requests, and administrative tasks. Alerts should identify potentially dangerous actions, such as unauthorized privilege escalation or attempts to disable security controls.

Contractor monitoring should focus on corporate resources and the duration of the engagement. Organizations can use isolated work environments to monitor business activities on contractor-owned computers without observing unrelated personal usage. Access permissions and monitoring policies should be reviewed regularly, and organizations should revoke access and remove corporate data from controlled workspaces when contracts end.

4. Tune Alerts to Risk Scores Instead of Individual Events

Monitoring every unusual action independently can overwhelm security teams with alerts that do not represent genuine threats. For example, a large file download might be legitimate for an employee preparing a report, while working outside normal business hours may be expected for someone collaborating across time zones. Use contextual risk scoring to evaluate combinations of activities rather than treating every event as a separate security incident.

Risk scores can incorporate factors such as user identity, access privileges, device trust, data sensitivity, historical behavior, and the sequence of observed actions. An employee downloading confidential files, copying them into an unauthorized application, and attempting to transfer them externally may warrant a higher-priority alert than an isolated file download.

Organizations should continuously refine alert thresholds based on investigation outcomes and changes in business operations. Security analysts can review false positives, identify recurring legitimate activities, and adjust detection rules accordingly. Where supported, behavioral analytics can help identify deviations from normal usage patterns and prioritize incidents that require immediate investigation.

5. Set Data Retention Limits and Restrict Access to Recordings

UAM systems can collect large volumes of sensitive information, including application activity, file access records, screenshots, and user session recordings. Retaining this information indefinitely increases storage costs, privacy exposure, and the potential impact of a security breach. Establish retention periods based on legal obligations, compliance requirements, and legitimate investigation needs.

Different categories of monitoring data may require different retention periods. For example, security event logs might need to be retained longer than detailed screenshots or session recordings. Organizations should implement automated deletion policies and establish procedures for preserving relevant evidence when an active investigation or legal hold requires it.

Access to monitoring records should follow least-privilege principles. Only authorized personnel should be able to search activity logs, view recordings, or export sensitive information. Use role-based access controls, encryption, multi-factor authentication, and audit logs to protect monitoring data. Organizations should also periodically review access permissions to ensure that employees no longer responsible for investigations cannot retrieve historical recordings.

6. Feed UAM Data Into Your SIEM and Incident Response Workflow

UAM becomes more valuable when its activity records can be correlated with events from other security systems. Integrate UAM with your security information and event management (SIEM) platform to combine user actions with authentication logs, endpoint detections, network events, and cloud security alerts. This gives investigators a more complete understanding of suspicious activities across the organization.

For example, an identity provider might detect a login from an unfamiliar location, while UAM identifies unusual file access and attempts to transfer sensitive information during the same session. Correlating these signals can help security teams identify potentially compromised accounts more accurately than relying on either source independently. Integrations with DLP and identity management tools can provide additional context about data sensitivity and user permissions.

Include UAM evidence in established incident response workflows by defining how alerts are triaged, escalated, and investigated. Where supported, security orchestration tools can automate actions such as creating incident tickets, notifying analysts, or initiating access reviews. High-confidence threats may also trigger predefined containment measures, such as terminating a corporate session or temporarily restricting access, subject to appropriate authorization and safeguards.

How to Monitor User Activity Without Compromising Privacy with Venn

Venn’s Blue Border® is a secure workspace that protects company data, applications, and AI workflows on any Mac or PC, without VDI or fully managing the endpoint. Blue Border creates a company-controlled secure enclave directly on the device, where work applications run locally and business activity is governed by IT. Everything outside the enclave, including personal apps, files, and browsing, stays private and cannot be seen, tracked, or monitored by the company or by Venn. This gives organizations visibility and control over work activity performed by employees, contractors, offshore teams, and BPO staff while respecting user privacy.

Key capabilities of Blue Border:

• Work-scoped secure enclave: All work happens inside a company-controlled enclave where company data is encrypted, access is governed by IT, and business activity is isolated from any other use on the same computer.
• Built-in user privacy: Only activity inside Blue Border is governed. A blue line around work application windows gives users a clear visual cue separating work from personal activity.
• Real-time insight into user activity: Security teams can see where, when, and from which device a user accessed a work application or sensitive data.
• Any worker, any device: Full-time employees, contractors, offshore teams, and BPO staff get secure access in minutes on company-issued, third-party, or BYOD Macs and PCs, whether managed or unmanaged.
• Native-speed application support: Locally installed and browser-based applications, such as Office, Slack, Zoom, Salesforce, and custom line-of-business apps, run inside the enclave without streaming or lag.
• AI governance at the source: IT can block shadow AI as a category, allow only approved tools, restrict access to company tenants, and limit corporate AI access to trusted locations, across both browser and desktop AI.
• No device management required: Management and data removal apply only to the contents of the secure enclave, leaving device configurations and personal activity untouched.

Learn more about Venn’s Blue Border and see how it secures remote work on any device.

Securing contractors and remote employees doesn’t have to be a pain. For years, IT teams were stuck choosing between virtual desktops that are slow, complex, and expensive. Or buying, locking down, and shipping laptops across the globe. Thankfully, there’s a better way. Introducing Venn, a breakthrough in remote work security. Venn creates a secure enclave on any unmanaged PC or Mac used by contractors and remote employees. No VDI, no need to fully manage the device, and no compromise on security and compliance. Work applications run locally within the enclave, visually indicated by Venn’s blue border, protecting and isolating work from personal activity on the same computer. Both browser and installed apps run locally, natively, and securely. No hosting and no virtualization whatsoever. This approach preserves full app performance and user experience, while ensuring your organization’s DLP policies are always enforced. No file transfers, copy paste screenshots, or any other actions that could lead to data loss or compromise. Ready to see the future of remote work? Well, on behalf of all of us at Venn, we invite you to step inside the blue border. Find out more at Venn dot com.