Fraud risk search and reporting platform
This project brings risk searches, mobile protection, user reporting and analyst review into one connected workflow. Individuals can check suspicious contact, account or online indicators, receive practical guidance and submit supporting evidence. Authorised teams can review cases, correlate approved intelligence and maintain risk classifications through a controlled administration platform.
Risk search and user guidance
01Users can search supported contact, account, platform and network indicators associated with suspicious activity.
Different indicator formats are handled through one consistent search workflow.
Results present clear risk levels with practical fraud-prevention guidance.
Automated matches are presented as guidance rather than final proof.
Timely alerts and trend summaries help users stay informed about emerging fraud patterns.
Mobile protection and structured reporting
02Device-level checks can warn users when an online destination matches maintained risk information on supported mobile platforms.
Incoming-call screening can identify potentially suspicious callers and support user-managed blocklists.
Registered users can report suspicious communications, accounts or online activity and attach relevant evidence.
Submission safeguards help reduce spam and misuse before reports enter the analyst-review process.
Approved intelligence updates and notifications can be distributed to users through the mobile application.
Analyst review and intelligence governance
03Authorised reviewers can assess submitted reports, supporting evidence and relevant technical context through a central administration workspace.
A controlled classification workflow separates unverified signals from analyst-confirmed risk indicators and records reviewer decisions.
Submission-quality signals help teams prioritise reports and identify possible misuse without treating community reports as verified facts.
Approved internal and external intelligence can be correlated through controlled integrations.
Automated analysis supports case triage and contextual assessment, while authorised reviewers retain control over final risk classifications.
