Fraud Risk Identification
Expert-defined terms from the Fraud Risk Assessment and Management course at LearnUNI. Free to read, free to share, paired with a professional course.
A situation where an individual misuses their position to obtain personal benefi… #
Example: a procurement manager awarding contracts to a family‑owned supplier in exchange for kickbacks. Practical application involves mapping authority lines during risk identification to spot potential abuse points. Challenges include detecting subtle collusion and distinguishing legitimate discretionary decisions from fraudulent intent.
A deficiency that allows unauthorized users to view, modify, or delete critical… #
Example: a former employee retaining admin rights after termination, enabling data theft. During fraud risk identification, auditors review user access logs and role‑based permissions. The main challenge is balancing operational efficiency with stringent access restrictions, especially in dynamic environments.
The process of scanning public sources for information linking a vendor, partner… #
Example: discovering a supplier’s involvement in a recent embezzlement case through news alerts. Incorporating adverse media into risk identification helps prioritize high‑risk relationships. Challenges include information overload and distinguishing credible reports from rumors.
The desensitization of fraud investigators caused by excessive low‑value alerts,… #
Example: a system generating hundreds of minor duplicate‑payment alerts daily, causing analysts to ignore them. Mitigation involves calibrating detection thresholds and applying risk‑based prioritization. The challenge lies in maintaining sensitivity without overwhelming staff.
A systematic examination of financial and operational data to identify anomalies… #
Example: unexpected spikes in expense reimbursements during a particular month. In fraud risk identification, analytical review serves as a primary detection tool. Challenges include data quality issues and the need for skilled analysts to interpret subtle patterns.
The collective attitude and behaviors that discourage fraudulent activity and en… #
Example: a leadership team that openly discusses whistle‑blower protections and rewards ethical conduct. Assessing cultural factors is essential for identifying latent fraud risk. Challenges involve measuring intangible attitudes and overcoming entrenched norms resistant to change.
The illegal use or diversion of an organization’s assets for personal gain #
Example: an employee creating fictitious vendors to funnel payments. Identification requires tracing asset flows and reconciling inventory records. Challenges include hidden transactions, collusion, and the ability of perpetrators to conceal evidence.
Missing or incomplete records that impede the reconstruction of events. Example #
system logs that stop recording after a certain date, erasing potential fraud evidence. During risk identification, auditors assess the completeness of logging mechanisms. Challenges involve legacy systems, inadequate retention policies, and intentional tampering.
The tendency to trust automated fraud‑detection outputs without sufficient verif… #
Example: analysts accepting a machine‑learning flag for a fraudulent invoice without reviewing supporting documentation. Mitigating bias requires periodic manual checks and training. The challenge is maintaining efficiency while ensuring critical thinking remains part of the workflow.
Deliberate concealment of the true individual who benefits from an entity #
Example: a shell company registered in a secrecy jurisdiction masking the real owner of a procurement contract. Identifying this risk involves deep‑dive KYC processes and cross‑border data sharing. Challenges include limited public registries and legal barriers to disclosure.
The difficulty in understanding how complex algorithms generate fraud alerts #
Example: a neural network flagging a transaction as high risk without revealing the contributing factors. During risk identification, lack of transparency can hinder root‑cause analysis. Challenges include balancing predictive power with interpretability for auditors and regulators.
The potential for illicit payments to influence business decisions. Example #
a sales manager receiving cash to secure a contract with a government agency. Identification involves reviewing gift registers, third‑party due diligence, and payment patterns. Challenges include cultural differences, hidden cash flows, and the subtle nature of facilitation payments.
Fraud exposure that emerges when processes are altered without adequate controls #
Example: consolidating multiple approval steps into a single electronic signature, inadvertently removing a critical check. Risk identification requires mapping new workflows and testing control effectiveness. Challenges include rapid implementation timelines and resistance from staff accustomed to legacy processes.
Weaknesses in the management of physical cash that enable theft or manipulation #
Example: inadequate reconciliation of cash registers leading to “shrinkage.” Identification includes surprise cash counts and segregation analysis. Challenges involve high‑volume environments, employee turnover, and the difficulty of monitoring cash in real time.
Fraudulent activities conducted by third‑party partners who sell or service an o… #
Example: a reseller inflating sales numbers to qualify for performance bonuses. Identification requires monitoring partner performance metrics and conducting field audits. Challenges include limited visibility into partner operations and contractual complexities.
The process of uncovering coordinated fraudulent actions among two or more indiv… #
Example: a purchasing clerk and a vendor agreeing to overprice goods and split the excess. Identification relies on network analysis, pattern recognition, and cross‑functional data sharing. Challenges include the subtlety of coordinated behavior and the need for sophisticated analytical tools.
Policies and procedures to prevent personal interests from influencing business… #
Example: an employee failing to disclose a familial relationship with a supplier, leading to biased contract awards. During risk identification, COI registers and periodic reviews help surface hidden risks. Challenges include incomplete disclosures and the difficulty of monitoring informal relationships.
Embedding fraud‑risk identification into routine self‑assessment activities perf… #
Example: a finance team rating the effectiveness of invoice verification controls and flagging gaps. Integration promotes ownership of fraud risk across the organization. Challenges involve ensuring objectivity, avoiding “rubber‑stamp” assessments, and aligning CSA outcomes with enterprise‑wide risk registers.
Problems that compromise the accuracy, completeness, or consistency of informati… #
Example: duplicate customer records allowing a fraudster to create multiple accounts. Identification includes data profiling and reconciliation checks. Challenges revolve around large data volumes, legacy migrations, and fragmented data sources.
Methods employed by fraudsters to manipulate perceptions and conceal illicit act… #
Example: a phishing email that mimics a senior executive’s style to request a wire transfer. Recognizing deception patterns is essential for risk identification in communications and transaction monitoring. Challenges include the evolving sophistication of tactics and the need for continuous awareness training.
The creation or misuse of false digital personas to gain unauthorized access or… #
Example: a fraudster fabricating a customer profile using stolen personal data to open a credit line. Identification requires biometric checks, device fingerprinting, and anomaly detection. Challenges include rapid creation of synthetic identities and the difficulty of linking disparate data points.
The manipulation or fabrication of paperwork to deceive stakeholders. Example #
a falsified invoice bearing a legitimate vendor’s logo but containing inflated amounts. Detection involves verification of signatures, watermark analysis, and cross‑checking against source systems. Challenges include high‑quality forgeries and the volume of documents processed daily.
The possibility that the same obligation is paid more than once, either unintent… #
Example: two identical invoices submitted for the same service, both approved due to lack of unique identifiers. Identification includes matching algorithms and exception reporting. Challenges involve legitimate business scenarios that generate similar invoices and the need for nuanced rule‑sets.
The level of fraud exposure an organization is willing to accept in pursuit of i… #
Example: a start‑up accepting higher fraud risk in exchange for rapid market entry, while implementing compensating controls. During risk identification, the appetite guides prioritization and resource allocation. Challenges include aligning appetite across business units and translating abstract thresholds into actionable criteria.
A graphical representation that highlights areas of heightened fraud risk across… #
Example: a color‑coded map showing elevated risk scores in procurement and payroll functions. Creation involves aggregating risk scores from multiple assessments. Challenges include ensuring data consistency, avoiding oversimplification, and keeping the map current as risks evolve.
Defined procedures for raising suspected fraud findings to appropriate authoriti… #
Example: a policy that mandates immediate notification of the fraud risk manager when a high‑value irregularity is detected. Proper protocols ensure timely investigation and mitigation. Challenges involve unclear responsibilities, cultural reluctance to report, and integrating protocols with existing governance frameworks.
Signals originating outside the organization that suggest heightened fraud risk #
Example: a regulator issuing a warning about a new scheme targeting supply‑chain finance. Incorporating external indicators enriches the risk identification process. Challenges include filtering irrelevant alerts and maintaining up‑to‑date intelligence feeds.
Deliberate distortion of financial reports to mislead stakeholders. Example #
premature revenue recognition to meet earnings targets. Identification relies on analytical procedures, ratio variance analysis, and review of accounting policies. Challenges include distinguishing aggressive accounting from outright fraud and the potential for management pressure to influence judgments.
A conceptual model describing the three elements that typically converge to prod… #
Example: an employee facing personal financial pressure (pressure), having unrestricted access to cash (opportunity), and justifying the theft as deserved compensation (rationalization). Understanding the triangle assists in pinpointing vulnerable individuals and processes. Challenges involve measuring intangible rationalizations and preventing the triangle from reconstituting after controls are strengthened.
A documented list of identified fraud risks, their likelihood, impact, and plann… #
Example: a register entry noting “vendor invoice overpayment risk” with associated controls and remediation steps. Maintaining a dynamic register supports continuous monitoring. Challenges include keeping the register comprehensive, ensuring ownership, and avoiding duplication.
Specific data points or behavioral cues that suggest potential fraud. Example #
an employee consistently processing payments just below the approval threshold. FRIs guide monitoring systems and manual reviews. Challenges involve setting thresholds that balance sensitivity with false‑positive rates and updating FRIs as fraud tactics evolve.
Facilitated meetings where cross‑functional participants identify and assess fra… #
Example: a workshop bringing together procurement, finance, and IT to map out potential fraud scenarios in the e‑procurement platform. Workshops foster diverse perspectives and uncover hidden risks. Challenges include participant availability, divergent risk perceptions, and translating discussion outcomes into actionable items.
The creation of hypothetical fraud events to test the robustness of controls #
Example: simulating a vendor collusion scheme to evaluate detection capabilities. Modelling helps prioritize controls and identify gaps. Challenges involve realistic scenario development, resource intensity, and ensuring scenarios stay relevant to emerging threats.
The danger that stolen personal information will be used to commit fraud #
Example: a data breach exposing employee Social Security numbers, later used to file fraudulent tax returns. Identification includes monitoring for unusual activity on credential repositories. Challenges include rapid exploitation cycles and the difficulty of tracking misuse across jurisdictions.
The quantitative limit below which a fraud event is considered unlikely to affec… #
Example: setting a threshold of $5,000 for individual expense reimbursements to trigger detailed review. Determining appropriate thresholds aids in focusing resources. Challenges involve balancing cost of investigation against potential cumulative impact of many small frauds.
A shortfall where existing controls fail to prevent or detect fraud. Example #
lack of dual‑authorization for high‑value wire transfers. Identification requires control testing and walkthroughs. Challenges include the tendency to overlook informal controls and the resource demands of remediation.
Ensuring that KRIs accurately reflect fraud risk exposure. Example #
monitoring the ratio of approved to rejected high‑value invoices as a KRI for procurement fraud. Alignment improves early warning capability. Challenges involve selecting meaningful KRIs, avoiding metric overload, and maintaining data integrity.
Fraud perpetrated by employees whose primary function is intellectual or analyti… #
Example: a consultant submitting falsified billable hours. Identification may require time‑tracking analysis and peer review. Challenges include the high trust placed in knowledge workers and the difficulty of detecting non‑monetary fraud such as intellectual property theft.
A documented exception allowing a transaction that would normally violate contro… #
Example: a one‑time purchase of an expensive item without competitive bidding, approved by senior management. During risk identification, LBUs must be scrutinized to ensure they are not abused as cover for fraud. Challenges include inadequate documentation and lack of periodic review.
Falsifying cash‑flow statements to present a healthier liquidity position #
Example: inflating cash inflow figures by recording fictitious sales. Detection involves cash‑flow analysis and reconciliation with bank statements. Challenges include complex cash‑flow structures and management pressure to meet liquidity covenants.
The degradation of predictive accuracy over time as fraud patterns evolve #
Example: an algorithm trained on historic invoice data missing new types of invoice manipulation. Regular monitoring of model performance is essential in fraud risk identification. Challenges include establishing drift detection thresholds and allocating resources for continual model updates.
Fraudulent activity involving a third party who deceives both the seller and buy… #
Example: a customs broker demanding a bribe to expedite clearance, then pocketing the payment. Identification requires due‑diligence on intermediaries and transaction monitoring. Challenges include limited visibility into the intermediary’s internal controls and cultural acceptance of facilitation payments.
The possibility that financial information is misstated due to fraud. Example #
overstating inventory levels to improve asset ratios. Identification leverages analytical procedures and substantive testing. Challenges involve distinguishing accidental errors from deliberate deception and the potential for collusion.
When continuous monitoring leads to reduced vigilance, allowing fraud to go unno… #
Example: a compliance team overwhelmed by daily transaction reviews, missing a large fraudulent transfer. Mitigation includes rotating monitoring duties and automating low‑risk alerts. Challenges include resource constraints and maintaining engagement over long monitoring periods.
Using data‑science techniques to visualize and detect connections among individu… #
Example: identifying a cluster of vendors and employees with frequent reciprocal transactions. This method enhances fraud risk identification by revealing hidden networks. Challenges involve data privacy concerns, computational complexity, and the need for specialized expertise.
Tracking indicators that are not monetary but may signal fraud, such as employee… #
Example: a sudden increase in overtime among a specific department coinciding with unexplained expense claims. NFIs broaden the risk identification lens. Challenges include establishing causal links and avoiding false assumptions.
Incorporating fraud considerations into the broader operational risk framework #
Example: evaluating how a new automated payment system may introduce both operational and fraud risks. This holistic view improves prioritization. Challenges include aligning different risk taxonomies and avoiding duplication of effort.
Fraud exposure arising from activities performed by external vendors. Example #
a payroll processing firm manipulating employee data to divert salaries. Identification requires thorough vendor assessments and continuous monitoring. Challenges involve limited contract language on fraud controls and jurisdictional enforcement issues.
Techniques and tools used to identify fraudulent payment transactions. Example #
real‑time velocity checks that flag multiple high‑value ACH transfers to the same beneficiary within a short period. Effective detection reduces loss exposure. Challenges include balancing customer experience with security measures and keeping pace with emerging payment technologies.
Creating a non‑existent vendor in the procurement system to issue fraudulent pay… #
Example: an employee adds a vendor named “ABC Supplies” with a bank account they control, then processes invoices. Identification involves vendor master data reviews and segregation of duties analysis. Challenges include the ease of creating vendor records in some ERP systems and the potential for collusion.
Recording and analyzing instances where internal policies are breached, which ma… #
Example: logging repeated overrides of the purchase‑order limit. Tracking provides early warning signs. Challenges include ensuring consistent logging and distinguishing intentional violations from inadvertent errors.
Applying process‑mining techniques to uncover deviations from standard operating… #
Example: discovering that a subset of invoices bypasses the usual three‑step approval chain. This approach enhances fraud risk identification by revealing hidden process variations. Challenges involve data extraction from multiple systems and interpreting complex process maps.
Fraud types specific to public procurement, such as collusive bidding. Example #
contractors agreeing to submit inflated bids with predetermined winners. Identification requires market price analysis and transparent bidding records. Challenges include political pressures, limited competition, and opaque award criteria.
Assigning numeric scores to transactions based on fraud likelihood. Example #
a score of 85 out of 100 for a large, first‑time vendor payment, prompting immediate review. Scoring aids prioritization. Challenges include model bias, data availability, and the need for periodic calibration.
A centralized collection of documented fraud red flags and case studies. Example #
a repository entry describing “multiple invoices from the same address with different vendor names.” This resource supports consistent identification across units. Challenges involve keeping the repository up‑to‑date and ensuring accessibility for analysts.
Risk of violating laws that could result in penalties and reputational damage #
Example: failing to detect a transaction that breaches sanctions, leading to regulatory fines. Identification aligns fraud risk with compliance monitoring. Challenges include overlapping jurisdictions and evolving regulatory expectations.
Fraud risks that increase when employees work offsite. Example #
an employee submitting falsified expense claims while working remotely, with limited supervisory oversight. Identification includes reviewing remote access logs and expense patterns. Challenges involve reduced physical controls and the need for robust digital monitoring.
Distorting the timing or amount of recognized revenue to meet targets. Example #
recording sales before product delivery is confirmed. Analytical review and contract testing help identify this risk. Challenges include complex revenue contracts and pressure from senior management.
Ensuring that identified fraud risks are evaluated against the organization’s wi… #
Example: a company with a low appetite for procurement fraud prioritizes high‑value contract reviews. Alignment drives resource allocation. Challenges involve communicating appetite across silos and updating it as business conditions change.
Adjusting the criteria that determine color coding on a fraud heat map to reflec… #
Example: redefining “high risk” thresholds after a major fraud incident. Calibration improves decision‑making relevance. Challenges include data consistency and avoiding over‑simplification.
A situation where a single individual can execute incompatible functions, increa… #
Example: the same person both creates and approves vendor payments. Identifying SoD conflicts involves reviewing role assignments and system permissions. Challenges include small organizations where staff wear multiple hats and the need for compensating controls.
Weaknesses that allow fraudsters to manipulate individuals into breaching securi… #
Example: an employee being tricked into revealing login credentials via a convincing email. Identification includes simulated attacks and user behavior analysis. Challenges involve human factors and the constantly evolving tactics of attackers.
Fraudulent activities occurring within the supply network. Example #
a supplier delivering substandard components while invoicing for premium parts. Identification requires supplier audits and quality checks. Challenges include complex multi‑tiered supply chains and limited visibility beyond the first‑tier supplier.
Predefined criteria that trigger alerts on suspicious activity. Example #
flagging any wire transfer above $100,000 to a high‑risk jurisdiction. Effective rule design supports early fraud detection. Challenges involve rule maintenance, false positives, and adapting to new fraud patterns.
An event where an individual gains access to systems or data without permission #
Example: a former employee using a shared workstation to retrieve confidential financial data. Identification includes log analysis and intrusion detection. Challenges include distinguishing malicious intent from accidental access and rapid containment.
Patterns in vendor interactions that deviate from norm. Example #
a vendor suddenly receiving a surge of high‑value orders after a long dormant period. Detection involves trend analysis and benchmarking. Challenges include legitimate business changes that mimic fraudulent patterns.
Illicit schemes designed to evade or reclaim tax improperly. Example #
a company inflating invoices to claim excessive VAT refunds. Identification requires tax‑return analysis and cross‑border transaction tracking. Challenges include complex tax regulations and the speed at which fraudsters exploit loopholes.
Systems that enable employees to report suspected fraud safely. Example #
an anonymous online portal that logs concerns and routes them to the fraud risk team. Effective mechanisms increase detection likelihood. Challenges involve ensuring confidentiality, preventing retaliation, and encouraging usage.
Assessing how a zero‑trust security model influences fraud risk. Example #
requiring multi‑factor authentication for every transaction reduces the chance of credential theft leading to fraud. Identification includes evaluating how new security paradigms affect control effectiveness. Challenges include integration complexity and potential user friction.