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Record W2994245200

Mastering the Payment Card Industry Standard: Private Framework Seeks to Shield Credit and Debit Card Account Information

2008· article· en· W2994245200 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of accountancy online/Journal of accountancy · 2008
Typearticle
Languageen
FieldComputer Science
TopicDigital Rights Management and Security
Canadian institutionsnot available
Fundersnot available
KeywordsDebit cardCard security codeBusinessCredit cardPayment processorPayrollPayment cardPaymentData breachATM cardComputer securityFinanceAccountingComputer science
DOInot available

Abstract

fetched live from OpenAlex

[ILLUSTRATION OMITTED] EXECUTIVE SUMMARY * Becoming familiar with the Payment Card Industry Data Security Standard is a prerequisite to understanding the regulatory environment in which many businesses that accept credit and debit cards operate. * PCI dovetails with a CPA's core competencies in attest work, risk management, internal audit support and fraud prevention. * PCI is not a standard affecting only merchants and card issuers. Through its three frameworks, it sets new standards of reasonable care and responsible safeguarding of cardholder data throughout many sectors of the economy. Simply accepting debit or credit cards or outsourcing such functions can trigger responsibilities to safeguard data or properly oversee business partners. * PCI is a different animal from Sarbanes-Oxley or SAS no. 70, Service Organizations, and requires separate investments. Fulfilling the demands of the standard may require sophisticated access control, activity logging and data encryption. ********** In January 2007, TJX Companies Inc. began notifying its customers and business partners along with regulators and law enforcement agencies that it suspected someone had hacked into an area of the company's computer network that held data from credit card, debit card and check transactions and pilfered sensitive information. TJX, the parent company of retailers T.J. Maxx and Marshalls, first reported that the hacking might have affected more than 45 million accounts. The tally of affected accounts may be closer to 94 million, according to documents in a law suit filed by banks and banking associations against TJX and Fifth Third Bancorp, the bank that handled its card transactions. The highly visible breach has been costly for the company's reputation and balance sheet. In September, TJX agreed to settle customer class action lawsuits in the U.S. and Canada related to the security breach. Estimated costs for the settlement and other expenses stemming from the crime were reflected in TJX's second quarter filing as a charge of $118 million and an estimated future charge of $21 million. One question asked in the wake of the TJX breach was whether the retailer complied with the Payment Card Industry Data Security Standard (PCI DSS) at the time of the attack. When a card fraud or breach occurs within a business, the five major credit and debit card corporations--Visa Inc., MasterCard Worldwide, American Express, Discover Financial Services and Japan Credit Bureau (JCB)--use the standard as the starting point for determining compliance and potential liability. The standard is now the metric through which global credit and debit card organizations define standards of due care. While complying with the standard is not required by law, businesses of all sizes that accept cards as payment and those that process card transactions must meet the requirements as a condition of doing business with the five major payment card networks. They also must provide each credit card company they work with proof of their compliance with the standard. Regardless of whether or not a business suffers a data breach, failing to live up to the core data security framework of the standard can, under the terms of a business's contract with a payment card company, result in sanctions, increased audits or bans prohibiting businesses from issuing or accepting credit or debit cards or otherwise playing a role in such transactions. For financial institutions that authorize a merchant to accept credit card payment, working with noncompliant businesses can result in fines levied by credit and debit card networks. CPAs who serve financial institutions that play a role in card transactions or merchants that accept credit or debit cards must be knowledgeable about the standard. This article will highlight PCI's major components and the role CPAs can play in its implementation. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.533
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.010
Open science0.0020.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.250
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it