Access

Subjects with access to production and pre-production environments—whether as users, developers, or administrators—hold the potential to exploit or compromise highly sensitive organizational assets. Production environments, which host live applications and databases, are critical to business operations and often contain real-time data, including proprietary business information and personally identifiable information (PII). A subject with access to these systems can manipulate operational processes, exfiltrate sensitive data, introduce malicious code, or degrade system performance.

Pre-production environments, used for testing, staging, and development, often replicate production systems, though they may contain anonymized or less protected data. Despite this, pre-production environments can still house sensitive configurations, APIs, and testing data that can be exploited. A subject with access to these environments may uncover system vulnerabilities, access sensitive credentials, or introduce code that could be escalated into the production environment.

In both environments, privileged access provides a direct pathway to the underlying infrastructure, system configurations, logs, and application code. For example, administrative access allows manipulation of security policies, user permissions, and system-level access controls. Similarly, access to development environments can provide insights into source code, configuration management, and test data—all of which could be leveraged to further insider activity.

Subjects with privileged access to critical environments are positioned not only to exploit system vulnerabilities or bypass security controls but also to become targets for recruitment by external actors seeking unauthorized access to sensitive information. These individuals may be approached or coerced to intentionally compromise the environment, escalate privileges, or exfiltrate data on behalf of malicious third parties.

Given the sensitivity of these environments, subjects with privileged access represent a significant insider threat to the integrity of the organization's systems and data. Their position allows them to manipulate or exfiltrate sensitive information, either independently or in collaboration with external actors. The risk is further amplified as these individuals may be vulnerable to recruitment or coercion, making them potential participants in malicious activities that compromise organizational security. As insiders, their knowledge and access make them a critical point of concern for both data protection and operational security.

A subject with access to customer data holds the ability to view, retrieve, or manipulate personally identifiable information (PII), account details, transactional records, or support communications. This level of access is common in roles such as customer service, technical support, sales, marketing, and IT administration.

Access to customer data can become a means of insider activity when misused for purposes such as identity theft, fraud, data exfiltration, competitive intelligence, or unauthorized profiling. The sensitivity and volume of customer information available may significantly elevate the risk profile of the subject, especially when this access is unmonitored, overly broad, or lacks audit controls.

In some cases, subjects with customer data access may also be targeted by external threat actors for coercion or recruitment, given their ability to obtain regulated or high-value personal information. Organizations must consider how customer data is segmented, logged, and monitored to reduce exposure and detect misuse.

Subjects with physical access to critical hardware—such as data center infrastructure, on-premises servers, network appliances, storage arrays, or specialized equipment like CCTV and alarm systems—represent a significant insider threat due to their ability to bypass logical controls and interact directly with systems. This level of access can facilitate a wide range of security compromises, many of which are difficult to detect through conventional digital monitoring.

Physical access may also include proximity to sensitive areas such as network closets, on-premises server racks, backup repositories, or control systems in operational technology (OT) environments. In high-security settings, even brief unsupervised access can be exploited to compromise system integrity or enable ongoing unauthorized access.

With this type of access, a subject can:

• Extract or clone drives and media for offline analysis or exfiltration of sensitive data, including proprietary documents, logs, authentication secrets, and configuration files.
• Introduce malicious hardware or firmware, such as USB-based keyloggers, hardware implants, or modified components that persist beyond reboots and may evade traditional endpoint protections.
• Bypass access controls by booting from external media, altering BIOS or UEFI settings, or resetting system passwords using direct hardware manipulation.
• Install or modify software directly on the system, enabling surveillance tools, remote access backdoors, or malicious code that blends in with legitimate system processes.
• Capture network traffic by tapping physical interfaces or inserting intermediary devices such as portable switches, protocol analyzers, or rogue wireless access points.
• Disable security mechanisms, such as disconnecting monitoring systems, tampering with surveillance equipment, or disabling redundant power and failover systems to induce outages.

In operational environments, subjects with access to physical control systems (e.g., ICS/SCADA components, industrial HMIs, or IoT gateways) may alter processes, cause service disruptions, or create safety hazards. Similarly, access to CCTV or badge systems may allow them to erase footage, monitor employee movements, or manipulate access control logs.

Subjects with this form of access represent an elevated risk, especially when combined with technical knowledge or administrative privileges. The risk is compounded in environments with limited physical security controls, inadequate logging of physical entry, or weak segmentation between physical and digital assets.

Subjects with authorized access to sensitive physical spaces—such as secure offices, executive areas, data centers, SCIFs (Sensitive Compartmented Information Facilities), R&D labs, or restricted zones in critical infrastructure—pose an increased insider threat due to their physical proximity to sensitive assets, systems, and information.

Such spaces often contain high-value materials or information, including printed sensitive documents, whiteboard plans, authentication devices (e.g., smartcards or tokens), and unattended workstations. A subject with physical presence in these locations may observe confidential conversations, access sensitive output, or physically interact with devices outside of typical security monitoring.

This type of access can be leveraged to:

• Obtain unattended or discarded sensitive information, such as printouts, notes, or credentials left on desks.
• Observe operational activity or decision-making, gaining insight into projects, personnel, or internal dynamics.
• Access unlocked devices or improperly secured terminals, allowing direct system interaction or credential harvesting.
• Bypass digital controls via physical means, such as tailgating into secure spaces or using misappropriated access cards.
• Covertly install or remove equipment, such as data exfiltration tools, recording devices, or physical implants.
• Eavesdrop on confidential conversations, either directly or through concealed recording equipment, enabling the collection of sensitive verbal disclosures, strategic discussions, or authentication procedures.

Subjects in roles that involve frequent presence in sensitive locations—such as cleaning staff, security personnel, on-site engineers, or facility contractors—may operate outside the scope of standard digital access control and may not be fully visible to security teams focused on network activity.

Importantly, individuals with this kind of access are also potential targets for recruitment or coercion by external threat actors seeking insider assistance. The ability to physically access secure environments and passively gather high-value information makes them attractive assets in coordinated attempts to obtain or compromise protected information.

The risk is magnified in organizations lacking comprehensive physical access policies, surveillance, or cross-referencing of physical and digital access activity. When unmonitored, physical access can provide a silent pathway to support insider operations without leaving traditional digital footprints.

A subject with access to privileged groups (e.g., Domain Admins, Enterprise Admins, or Security Groups) or non-user accounts (such as service accounts, application identities, or shared mailboxes) gains elevated control over systems, applications, and sensitive organizational data. Access to these groups or accounts often provides the subject with knowledge of security configurations, user roles, and potentially unmonitored or sensitive activities that occur within the system.

Shared mailboxes, in particular, are valuable targets. These mailboxes are often used for group communication across departments or functions, containing sensitive or confidential information, such as internal discussions on financials, strategic plans, or employee data. A subject with access to shared mailboxes can gather intelligence from ongoing conversations, identify targets for further exploitation, or exfiltrate sensitive data without raising immediate suspicion. These mailboxes may also bypass some security filters, as their contents are typically considered routine and may not be closely monitored.

Access to privileged accounts and shared mailboxes also allows subjects to escalate privileges, alter system configurations, access secure data repositories, or manipulate security settings, making it easier to both conduct malicious activities and cover their tracks. Moreover, service and application accounts often have broader access rights across systems or environments than typical user accounts and are frequently excluded from standard monitoring protocols, offering potential pathways for undetected exfiltration or malicious action.

This elevated access gives subjects insight into critical system operations and internal communications, such as unencrypted data flows or internal vulnerabilities. This knowledge not only heightens their potential for malicious conduct but can also make them a target for external threat actors seeking to exploit this elevated access.

Routine reviews of user accounts and their associated privileges and permissions should be conducted to identify overly-permissive accounts, or accounts that are no longer required to be active.

Offering mental health support and conflict resolution programs to
help employees identify and report manipulative behavior in the
workplace

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.

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.

An Acceptable Use Policy (AUP) is a set of rules outlining acceptable and unacceptable uses of an organization's computer systems and network resources. It acts as a deterrent to prevent employees from conducting illegitimate activities by clearly defining expectations, reinforcing legal and ethical standards, establishing accountability, specifying consequences for violations, and promoting education and awareness about security risks.

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.

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.

Access to specific areas of a site should be restricted to only authorized personnel, through the use of controls such as locked doors, mantraps, and gates requiring an ID badge.

Background checks should be conducted to ensure whether the information provided by the candidate during the interview process is truthful. This could include employment and educational reference checks, and a criminal background check. Background checks can highlight specific risks, such as a potential for extortion.

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.

CCTV can be used to observe activity within or around a site. This control can help to detect preparation or infringement activities and record it to a video file.

A Data Loss Prevention (DLP) solution refers to policies, technologies, and controls that prevent the accidental and/or deliberate loss, misuse, or theft of data by members of an organization. Typically, DLP technology would take the form of a software agent installed on organization endpoints (such as laptops and servers).

Typical DLP technology will alert on the potential loss of data, or activity which might indicate the potential for data loss. A DLP technology may also provide automated responses to prevent data loss on a device.

Implement User Behavior Analytics (UBA) tools to continuously monitor and analyze user (human) activities, detecting anomalies that may signal security risks. UBA can track and flag unusual behavior, such as excessive data downloads, accessing a higher-than-usual number of resources, or large-scale transfers inconsistent with a user’s typical patterns. UBA can also provide real-time alerts when users engage in behavior that deviates from established baselines, such as accessing sensitive data during off-hours or from unfamiliar locations. By identifying such anomalies, UBA enhances the detection of insider events.