Glossary.

A

Adverse Media

Negative news coverage and online content suggesting involvement in financial crime or reputational risk. Screening for adverse media is a key component of enhanced due diligence (EDD) and requires natural language processing to extract insights from unstructured data across multiple sources.

Alert Management

The process of reviewing, prioritising, and resolving alerts triggered by monitoring systems — with a unified interface for investigators to triage alerts, assign tasks, and maintain audit trails.

Anti-Money Laundering (AML)

A framework of laws, procedures, and technologies designed to prevent criminals from disguising illicit funds as legitimate income. AML solutions like DetectX® help automate transaction monitoring, customer due diligence, and ongoing risk assessment.

Audit Trail

A time-stamped, tamper-proof record of system activity and decision-making that ensures accountability, enables backtesting, and supports regulatory reporting in compliance settings.

B

Backtesting

Applying detection rules or risk models to historical data to measure effectiveness and fine-tune performance. This process validates AML and fraud detection strategies before deployment.

Behavioural Analysis

Monitoring patterns in user or customer activity to detect anomalies indicating fraud or money laundering. DetectX® uses AI models to establish behavioural baselines and identify deviations in real time.

Beneficial Ownership

The individuals who ultimately own or control a legal entity. Identifying these individuals prevents misuse of corporate structures for money laundering or sanctions evasion.

C

Case Management

The consolidation of multiple alerts and related data into a single investigative case, enabling holistic review, decision documentation, and regulatory reporting support.

Client Risk Scoring

Assigning a dynamic risk score to each customer based on onboarding data, transaction history, adverse media, and behavioural patterns. This score helps financial institutions apply appropriate risk-based controls.

Customer Due Diligence (CDD)

A fundamental AML compliance component involving identifying and verifying customer identity, understanding the business relationship, and assessing potential risk. DetectX® supports CDD through data integration and real-time screening.

Customer Risk Assessment

Evaluating a client’s risk profile based on geography, business type, behaviour, and external data. This risk score informs the level of monitoring and due diligence applied.

D

Data Enrichment

Enhancing existing customer or transaction data with external sources such as sanctions lists, media content, or behavioural insights. DetectX® uses enrichment to improve screening and scoring accuracy.

E

Early Warning Indicators

Signals suggesting potential risk increases before regulatory thresholds are breached — including behaviour changes, new media mentions, or transaction pattern shifts.

Enhanced Due Diligence (EDD)

A deeper level of scrutiny applied to higher-risk customers or transactions, typically involving additional identity verification, source of funds checks, and more frequent monitoring. Link analysis is often used to uncover hidden associations and complex networks during EDD.

Entity Resolution

Identifying and linking data referring to the same individual or organisation across different sources. This unifies fragmented information and is crucial in name screening and link analysis.

F

False Positive

When a system incorrectly flags a legitimate customer or transaction as suspicious. Minimising false positives is critical for operational efficiency and investigator focus. DetectX® reduces false positives by up to 98%.

G

Geographic Risk

How a customer’s or transaction’s location impacts likelihood of involvement in financial crime. High-risk jurisdictions may be flagged based on FATF lists, local laws, or regional instability.

I

Investigations Management

Triaging, documenting, and resolving alerts from AML or fraud detection systems. DetectX® offers a unified environment for analysts to collaborate, escalate, and audit investigations with full transparency.

K

Know Your Customer (KYC)

A regulatory requirement for verifying customer identity before establishing business relationships. It includes collecting information on identity, ownership, and intended use of accounts — forming the foundation of AML compliance.

L

List Consolidation

Merging multiple external and internal watchlists into a single screening framework. This helps organisations manage complexity and maintain consistency in name screening.

M

Model Governance

Ensuring machine learning and rule-based models used in compliance systems are transparent, tested, and monitored over time. It supports accountability and aligns with regulatory expectations for explainability and control.

N

Name Screening

Checking individuals and organisations against global watchlists, sanctions, and PEP lists. DetectX® applies advanced fuzzy matching and multi-source list support to reduce false positives and increase accuracy.

O

Ongoing Monitoring

Continuous review of customer activity, data changes, and risk indicators after onboarding. It supports timely detection of emerging threats and ensures compliance with evolving regulatory expectations.

P

Politically Exposed Persons (PEPs)

Individuals holding or having held prominent public positions who may present higher risk for involvement in bribery or corruption. Effective AML systems must screen for and monitor PEPs as part of both onboarding and ongoing risk management.

R

Risk-Based Approach (RBA)

A core AML regulation principle requiring institutions to apply more scrutiny to higher-risk customers or transactions. It ensures compliance resources are prioritised where most needed.

Rule Designer

A graphical tool within DetectX® allowing compliance teams to create, test, and deploy detection logic for AML and fraud workflows. It supports both technical and non-technical users, reducing reliance on hard-coded logic.

S

Sanction Screening

Checking individuals, companies, and transactions against official sanctions lists to ensure legal compliance. DetectX® supports screening across multiple sources, including custom internal lists, using intelligent fuzzy matching.

Screening List Management

Organising and maintaining external and internal lists for name screening, including sanctions, PEPs, and private databases. DetectX® supports multi-list configurations with prioritised matching.

T

Transaction Monitoring

Ongoing analysis of financial transactions to identify unusual or suspicious activity. DetectX® supports real-time and batch monitoring with configurable rules, AI scoring, and audit-friendly investigation tools.