Motive
Coercion
Espionage
Fear of Reprisals
Hubris
Human Error
Joiner
Lack of Awareness
Leaver
Misapprehension or Delusion
Mover
Personal Gain
Political or Philosophical Beliefs
Recklessness
Resentment
Self Sabotage
Third Party Collusion Motivated by Personal Gain
- ID: MT012.001
- Created: 26th July 2024
- Updated: 22nd September 2024
- Contributor: The ITM Team
Social Engineering (Inbound)
A third party deceptively manipulates and/or persuades a subject to divulge information, or gain access to devices or systems, or to otherwise cause harm or undermine a target organization.
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. |
PV012 | End-User Security Awareness Training | Mandatory security awareness training for employees can help them to recognize a range of cyber attacks that they can play a part in preventing or detecting. This can include topics such as phishing, social engineering, and data classification, amongst others. |
PV038 | Insider Threat Awareness Training | Training should equip employees to recognize manipulation tactics, such as social engineering and extortion, that are used to coerce actions and behaviors harmful to the individual and/or the organization. The training should also encourage and guide participants on how to safely report any instances of coercion. |
Detection
ID | Name | Description |
---|---|---|
DT045 | Agent Capable of User Activity Monitoring | 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. |
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. |
DT041 | Email Gateway | Email gateway solutions offer the ability to trace inbound and outbound emails to an organization. This can be used to retrieve information such as emails sent or received, the subject line, content, attachments, timestamps, and recipients. |