Category: Fraud Detection Analytics
Case Management
Simply put
The evidence provided defines case management only in healthcare and legal contexts, such as coordinating medical and psychosocial services for patients or organizing legal cases. It does not describe case management as the term is used in payment security, fraud investigation, dispute or chargeback handling, or PCI DSS compliance. A precise, authoritative definition for this publication's domain cannot be produced from the supplied sources.
Formal definition
Available sources characterize case management as a collaborative, multi-step process for assessing, planning, coordinating, implementing, and monitoring services—framed for healthcare (e.g., coordinating medical and psychosocial services for a person living with HIV/AIDS; a professional helping a client develop a coordinated care plan) and for legal practice (systematic organization and coordination of legal matters). No evidence in this packet addresses fraud case management, alert or dispute workflows, chargeback or investigation lifecycle handling, or any control governed by PCI DSS, PCI PIN, PCI P2PE, PCI 3DS, or the PCI Software Security Framework. Producing a payment-security definition would require facts not established in the evidence; the term as scoped for this publication is therefore not supported and should be sourced from domain-appropriate evidence before publication.
Why it matters
For a payment security, fraud prevention, and PCI DSS compliance audience, the term "case management" typically evokes fraud alert triage, dispute and chargeback handling, or the investigation lifecycle within a fraud operations team. However, the evidence supplied for this entry does not support any of those meanings. The available sources define case management exclusively in healthcare contexts—such as coordinating medical and psychosocial services for patients—and in legal practice, where it refers to the systematic organization and coordination of legal matters. None of the supplied evidence addresses fraud case management, alert workflows, dispute or chargeback lifecycle handling, or any control governed by PCI DSS or related standards.
Who it's relevant to
Fraud analysts and investigations teams
Practitioners who work with fraud alert triage and investigation workflows may search for this term expecting a payment-domain definition. They should note that the evidence here covers only healthcare and legal case management, and should consult domain-appropriate sources for fraud operations terminology.
Dispute and chargeback operations
Teams handling dispute and chargeback lifecycles may associate case management with their own workflows. The supplied evidence does not address dispute or chargeback handling, so no authoritative definition for that use can be drawn from these sources.
Compliance officers and PCI DSS assessors
Those mapping terms to PCI DSS, PCI PIN, PCI P2PE, PCI 3DS, or the PCI Software Security Framework should be aware that no supplied evidence connects case management to any control under these standards. Any compliance-relevant definition must be sourced from domain-appropriate evidence before publication.
Inside Case Management
Case Record
The central object that aggregates the facts, evidence, and status of a single investigation, such as a suspected fraud event, disputed transaction, or compliance exception. It typically references transaction identifiers, entities involved, and a timeline of actions taken.
Alert Intake and Triage
The process by which alerts from detection systems, such as fraud scoring engines or transaction monitoring rules, are received, prioritized, and either escalated into cases or dismissed. Triage decisions balance false-positive and false-negative trade-offs, since not every alert reflects genuine fraud.
Evidence and Artifacts
Supporting material attached to a case, which may include transaction logs, authentication results such as 3-D Secure or EMV outcomes, chargeback documentation, and analyst notes. Care should be taken that sensitive authentication data is not stored improperly, as it must not be retained after authorization even when encrypted.
Workflow and Status Model
The defined states a case moves through, for example open, under investigation, escalated, resolved, or closed, along with assignment rules that route cases to fraud analysts, compliance officers, or risk teams.
Disposition and Outcome Coding
The categorized result of an investigation, such as confirmed fraud, false positive, first-party or friendly fraud, or account takeover. Consistent coding supports later analysis, though categories should reflect distinct fraud types rather than a single label.
Audit Trail
A tamper-resistant, time-stamped record of who took what action on a case and when, supporting accountability, quality review, and evidentiary needs. Access to case data should follow least-privilege and access-control principles.
Reporting and Metrics
Aggregated views of case volume, aging, disposition rates, and analyst performance used to tune detection rules and staffing. Exact figures depend on source, period, and methodology and should not be treated as fixed benchmarks.
Common questions
Answers to the questions practitioners most commonly ask about Case Management.
Is a case management system the same thing as a fraud detection engine?
No. A fraud detection engine (rules, scoring models, or anomaly detection) generates alerts or flags transactions, while case management is the workflow layer that organizes those alerts into reviewable cases, routes them to analysts, tracks investigation steps, and records dispositions. The two are complementary: detection identifies potential risk, and case management governs how humans review and resolve it. Treating them as a single system can obscure the fact that detection quality and investigation workflow have separate tuning, staffing, and audit considerations.
Does having a case management workflow satisfy PCI DSS requirements on its own?
Not by itself. Case management supports operational and investigative processes, but PCI DSS obligations depend on how any cardholder data or sensitive authentication data within the case management environment is handled, stored, protected, and validated. Note that sensitive authentication data must not be retained after authorization even when encrypted, and that requirement wording and numbering differ between PCI DSS versions. Whether case management activity is in scope depends on implementation and should be confirmed against the current published standard rather than assumed from the presence of a workflow tool.
What data should be captured in a case record versus kept out of it?
A case record typically needs enough context to support investigation and decisioning, such as transaction metadata, alert reasons, analyst notes, and disposition history. It should avoid storing sensitive authentication data such as full track data, CAV2/CVC2/CVV2/CID, or PIN blocks, which must not be retained after authorization. Where cardholder data such as the PAN is referenced, consider whether truncation, masking, or tokenization can meet the investigative need, since their effect on scope depends on implementation and validation, not on the label alone.
How should cases be routed and prioritized among analysts?
Routing and prioritization commonly reflect factors such as risk score, potential exposure, case type, and any regulatory or timing constraints. Queues can be segmented by fraud type, for example card-not-present review, account takeover, or chargeback-related cases, so analysts work within their specialization. Because detection controls carry false-positive and false-negative trade-offs, prioritization schemes are intended to focus analyst time on higher-risk items while managing the review burden created by lower-confidence alerts; the balance typically requires ongoing tuning.
What should be logged for audit and quality-assurance purposes?
An audit trail generally captures who accessed a case, what actions were taken, disposition decisions, and timestamps, supporting accountability and later review. Logging can also feed quality assurance, such as sampling closed cases to check decision consistency, and feedback loops that inform detection tuning. Access to case data and logs should follow least-privilege principles, and log handling should account for any cardholder data exposure. Confirm applicable logging and access-control expectations against the current published PCI DSS version.
How do case outcomes connect to detection tuning and chargeback processes?
Confirmed and cleared case dispositions can serve as feedback to refine rules and models, helping reduce false positives and improve detection over time, though this is an iterative process rather than a one-time fix. Case outcomes may also feed downstream actions such as chargeback handling or dispute representment. Note that chargeback rules and liability allocation are governed by card brand and network rules, which vary by region and change over time, so case workflows should reference the applicable current rules rather than fixed assumptions.
Common misconceptions
A case management system prevents fraud.
Case management is intended to help organize, investigate, and resolve alerts after they are generated; it is a workflow and record-keeping capability, not a detection or prevention control. It may help reduce losses through faster response, but it does not by itself stop fraudulent transactions, and it depends on upstream detection controls that carry their own false-positive and false-negative trade-offs.
Storing all transaction and authentication data in a case makes investigations stronger and is always permitted.
Sensitive authentication data, such as full track data, CAV2/CVC2/CVV2/CID, and PINs or PIN blocks, must not be stored after authorization, even when encrypted. Only certain cardholder data may be retained under defined controls, and case records should apply masking, truncation, or other protections consistent with the applicable requirements of the current published PCI DSS standard.
Case management is governed by a single PCI standard and has fixed requirement numbers.
Case management practices touch controls addressed across data protection, access control, and logging expectations, and requirement numbering and wording differ between PCI DSS versions. It should not be conflated with separate standards such as PCI PIN, PCI P2PE, or PCI 3DS, and readers should confirm specific obligations against the current published standard rather than assuming a fixed number.
Best practices
Define a clear workflow and status model with assignment rules so alerts are triaged and routed consistently to the appropriate fraud, compliance, or risk teams.
Apply least-privilege access controls and role-based permissions to case data, and confirm that sensitive authentication data is not retained after authorization while cardholder data is masked or truncated where full values are not needed.
Maintain a tamper-resistant, time-stamped audit trail of every action taken on a case to support accountability, quality review, and evidentiary needs.
Use consistent disposition coding that distinguishes fraud types such as card-present fraud, card-not-present fraud, account takeover, friendly or first-party fraud, and chargeback fraud, so outcomes can be analyzed accurately.
Feed investigation outcomes back into detection rule tuning, acknowledging the false-positive and false-negative trade-offs involved rather than treating any single control as decisive.
Validate that case management data handling aligns with the current published PCI DSS standard and does not conflate obligations from separate standards, confirming requirement details against the applicable version.