Preventions
- ID: PV050
- Created: 23rd April 2025
- Updated: 24th April 2025
- Contributor: The ITM Team
Social Media Screening
A subject’s publicly accessible online presence may be examined prior to, or during, their association with the organization through the application of Open Source Intelligence (OSINT) techniques. This form of screening involves the systematic analysis of publicly available digital content—such as social media profiles, posts, comments, blogs, forums, and shared media—to assess potential risks associated with an individual.
Social media screening is typically conducted to identify indicators of reputational risk, conflicting motives, or behavioral patterns that may suggest the potential for insider threat activity. Content of concern may include public expressions of hostility toward the organization, affiliation with extremist or high-risk groups, or engagement with topics unrelated to the subject's role that could indicate potential misuse of access.
Trusted service providers specializing in OSINT and digital risk intelligence may be engaged to perform this screening on behalf of the organization. These providers use automated tools and analyst-driven review processes to ensure consistent, legally compliant, and policy-aligned assessments of online behavior.
When implemented as part of pre-employment screening or ongoing risk monitoring, social media screening can serve as a proactive measure to detect insider threat indicators early. To be effective and ethical, such programs must follow applicable privacy laws, data protection regulations, and internal governance standards. When responsibly executed, social media screening enhances the organization's ability to identify individuals who may present an elevated risk to information security, personnel safety, or corporate reputation.
Sections
| ID | Name | Description |
|---|---|---|
| IF022.004 | Payment Card Data Leakage | A subject with access to payment environments or transactional data may deliberately or inadvertently leak sensitive payment card information. Payment Card Data Leakage refers to the unauthorized exposure, transmission, or exfiltration of data governed by the Payment Card Industry Data Security Standard (PCI DSS). This includes both Cardholder Data (CHD)—such as the Primary Account Number (PAN), cardholder name, expiration date, and service code—and Sensitive Authentication Data (SAD), which encompasses full track data, card verification values (e.g., CVV2, CVC2, CID), and PIN-related information.
Subjects with privileged, technical, or unsupervised access to point-of-sale systems, payment gateways, backend databases, or log repositories may mishandle or deliberately exfiltrate CHD or SAD. In some scenarios, insiders may exploit access to system-level data stores, intercept transactional payloads, or scrape logs that improperly store SAD in violation of PCI DSS mandates. This may include exporting payment data in plaintext, capturing full card data from logs, or replicating data to unmonitored environments for later retrieval.
Weak controls, such as the absence of data encryption, improper tokenization of PANs, misconfigured retention policies, or lack of field-level access restrictions, can facilitate misuse by insiders. In some cases, access may be shared or escalated informally, bypassing formal entitlement reviews or just-in-time provisioning protocols. These gaps in security can be manipulated by a subject seeking to leak or profit from payment card data.
Insiders may also use legitimate business tools—such as reporting platforms or data exports—to intentionally bypass obfuscation mechanisms or deliver raw payment data to unauthorized recipients. Additionally, compromised service accounts or insider-created backdoors can provide long-term persistence for continued exfiltration of sensitive data.
Data loss involving CHD or SAD often trigger mandatory breach disclosures, regulatory scrutiny, and severe financial penalties. They also pose reputational risks, particularly when data loss undermines consumer trust or payment processing agreements. In high-volume environments, even small-scale leaks can result in widespread exposure of customer data and fraud. |