Infringement
Disruption of Business Operations
Excessive Personal Use
Exfiltration via Email
Exfiltration via Media Capture
Exfiltration via Messaging Applications
Exfiltration via Other Network Medium
Exfiltration via Physical Medium
- Exfiltration via Bring Your Own Device (BYOD)
- Exfiltration via Disk Media
- Exfiltration via Floppy Disk
- Exfiltration via New Internal Drive
- Exfiltration via Physical Access to System Drive
- Exfiltration via Physical Documents
- Exfiltration via Target Disk Mode
- Exfiltration via USB Mass Storage Device
- Exfiltration via USB to Mobile Device
- Exfiltration via USB to USB Data Transfer
Exfiltration via Web Service
Harassment and Discrimination
Inappropriate Web Browsing
Installing Unapproved Software
Misappropriation of Funds
Non-Corporate Device
Providing Access to a Unauthorized Third Party
Public Statements Resulting in Brand Damage
Sharing on AI Chatbot Platforms
Theft
Unauthorized Changes to IT Systems
Unauthorized Printing of Documents
Unauthorized VPN Client
Unlawfully Accessing Copyrighted Material
- ID: IF021
- Created: 29th October 2024
- Updated: 29th October 2024
- Contributor: Matt Barr
Harassment and Discrimination
A subject engages in unauthorized conduct that amounts to harassment or discriminatory behavior within the workplace, targeting individuals or groups based on protected characteristics, such as race, gender, religion, or other personal attributes. Incidents of harassment and discrimination may expose the organization to legal risks, potential reputational damage, and regulatory penalties. Additionally, individuals affected by such behavior may be at higher risk of retaliating or disengaging from their work, potentially leading to further insider risks.
Prevention
ID | Name | Description |
---|---|---|
PV039 | Employee Mental Health & Support Program | Offering mental health support and conflict resolution programs to |
PV042 | Employee Vulnerability Support Program | A structured program, including a helpline or other reporting mechanism, designed to assist employees who feel vulnerable, whether due to personal issues, coercion, or extortion. This process allows employees to confidentially raise concerns with trusted teams, such as Human Resources or other qualified professionals. In some cases, it may be appropriate to discreetly share this information with trusted individuals within the Insider Risk Management Program to help prevent and detect insider threats while also providing necessary support to the employee. |
PV022 | Internal Whistleblowing | Provide a process for all staff members to report concerning and/or suspicious behaviour to the organization's security team for review. An internal whistleblowing process should take into consideration the privacy of the reporter and the subject(s) of the report, with specific regard to safeguarding against reprisals against reporters. |
PV001 | No Ready System-Level Mitigation | This section cannot be readily mitigated at a system level with preventive controls since it is based on the abuse of fundamental features of the system. |
Detection
ID | Name | Description |
---|---|---|
DT047 | Agent Capable of User Behaviour Analytics | 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. |
DT040 | Microsoft Exchange Message Trace | Message trace is a feature within Exchange that permits the ability to identify inbound and outbound emails within the organization. This can be used to see which mailboxes have sent or received emails, the time, the subject line, and recipients. |
DT094 | Microsoft Purview Audit Search | Microsoft's Purview portal has a feature named Audit that permits access to critical audit log event data to gain insight and further investigate user activities. This can be used to investigate activity from a range of Microsoft services, such as SharePoint, OneDrive, and Outlook. Searches can be scoped to a specific timeframe, user account, and platform using the extensive filters available. |
DT049 | Social Media Monitoring | Social Media Monitoring refers to monitoring social media interactions to identify organizational risks, such as employees disclosing confidential information and making statements that could harm the organization (either directly or through an employment association). |