Unauthorized VPN Client

By only allowing pre-approved software to be installed and run on corporate devices, the subject is unable to install software themselves.

Network Access Control (NAC) manages and regulates devices accessing a organization's network(s), including personal devices under a Bring Your Own Device (BYOD) policy. NAC systems ensure that only authorized and compliant devices can connect to the network, reducing security risks.
 

NAC performs the following functions:

• Device Authentication and Authorization: Checks whether the device meets the organization’s security policies before granting access.
• Compliance Checks: Verifies that devices have up-to-date security patches and configurations. Non-compliant devices may be denied access or placed in a quarantined network zone.
• Segmentation and Isolation: Restricts devices' access to sensitive areas, limiting potential impact from compromised devices.
• Continuous Monitoring: Tracks connected devices for ongoing compliance and can automatically quarantine or disconnect those that fall out of compliance.
• Policy Enforcement: Applies security policies to ensure devices can only access appropriate resources based on their security status.

NAC functionality can be provided by dedicated NAC appliances, next-generation firewalls, unified threat management devices, and some network switches and routers.

Network Intrusion Prevention Systems (NIPs) can alert on abnormal, suspicious, or malicious patterns of network behavior, and take autonomous actions to stop the behavior, such as resetting a network connection.

An agent capable of Endpoint Detection and Response (EDR) is a software agent installed on organization endpoints (such as laptops and servers) that (at a minimum) records the Operating System, application, and network activity on an endpoint.

Typically EDR operates in an agent/server model, where agents automatically send logs to a server, where the server correlates those logs based on a rule set. This rule set is then used to surface potential security-related events, that can then be analyzed.

An EDR agent typically also has some form of remote shell capability, where a user of the EDR platform can gain a remote shell session on a target endpoint, for incident response purposes. An EDR agent will typically have the ability to remotely isolate an endpoint, where all network activity is blocked on the target endpoint (other than the network activity required for the EDR platform to operate).

An agent capable of User Activity Monitoring (UAM) is a software agent installed on organization endpoints (such as laptops); typically, User Activity Monitoring agents are only deployed on endpoints where a human user Is expected to conduct the activity.

The User Activity Monitoring agent will typically record Operating System, application, and network activity occurring on an endpoint, with a focus on activity that is or can be conducted by a human user. The purpose of this monitoring is to identify undesirable and/or malicious activity being conducted by a human user (in this context, an Insider Threat).

Typical User Activity Monitoring platforms operate in an agent/server model where activity logs are sent to a server for automatic correlation against a rule set. This rule set is used to surface activity that may represent Insider Threat related activity such as capturing screenshots, copying data, compressing files or installing risky software.

Other platforms providing related functionality are frequently referred to as User Behaviour Analytics (UBA) platforms.

An agent capable of User Behaviour Analytics (UBA) is a software agent installed on organizational endpoints (such as laptops). Typically, User Activity Monitoring agents are only deployed on endpoints where a human user is expected to conduct the activity.

The User Behaviour Analytics agent will typically record Operating System, application, and network activity occurring on an endpoint, focusing on activity that is or can be conducted by a human user. Typically, User Behaviour Analytics platforms operate in an agent/server model where activity logs are sent to a server for automatic analysis. In the case of User Behaviour Analytics, this analysis will typically be conducted against a baseline that has previously been established.

A User Behaviour Analytic platform will typically conduct a period of ‘baselining’ when the platform is first installed. This baselining period establishes the normal behavior parameters for an organization’s users, which are used to train a Machine Learning (ML) model. This ML model can then be later used to automatically identify activity that is predicted to be an anomaly, which is hoped to surface user behavior that is undesirable, risky, or malicious.

Other platforms providing related functionality are frequently referred to as User Activity Monitoring (UAM) platforms.

Network Intrusion Detection Systems (NIDS) can alert on abnormal, suspicious, or malicious patterns of network behavior. 

Depending on the type of VPN appliance or service used, VPN logs can provide detailed records of user activity. These logs typically include information such as user IDs, device types, IP addresses, and connection timestamps. By analyzing VPN logs, security teams can identify deviations from normal usage patterns, such as connections from unusual geographic locations, access during odd hours, or unusually large data transfers. Anomalies in VPN usage can serve as early indicators of suspicious behavior, potentially signaling attempts at data exfiltration or other unauthorized activities. Alerts triggered by these irregularities allow for further investigation to assess potential threats.