At the Anti Money Laundering Network (AML Network), we are committed to ethical, evidence-based reporting that supports global efforts to expose financial crime, strengthen transparency, and uphold privacy-conscious accountability. This Reporting Policy outlines our editorial standards, source handling protocols, fact-checking process, and user contribution guidelines.
All AML Network content — including investigations, database entries, profiles, reports, and explainers — is created to:
We are independent, non-partisan, and not affiliated with any government, corporation, or financial institution.
We adhere to the following core principles in all published material:
We use a multi-layered sourcing approach to build entries and reports:
Where possible, we cross-reference facts with multiple independent sources before publication. In cases of urgency or whistleblower risk, source anonymity is protected under our Whistleblower Policy.
Entities, individuals, or transactions are added to our open databases (e.g., Shell Companies Database, Corporate Laundering Database, PEPs Database) based on:
Inclusion does not imply criminal liability — it reflects exposure to laundering vulnerabilities or risks worth public scrutiny.
We welcome feedback and correction requests. If a user or subject believes an entry contains factual errors, they may:
Valid requests will be reviewed and, where appropriate, updated or redacted within 7–10 business days. We are not obligated to respond to abusive or legally unfounded takedown threats.
We encourage ethical disclosures from:
You may submit data or tips anonymously or under a pseudonym. We do not track IP addresses and do not require user registration. All contributor data is encrypted and stored securely.
We will never share contributor identities with third parties, including law enforcement, without your explicit, informed consent — unless legally compelled.
If you are the subject of an AML Network report or database entry and wish to respond:
We believe in open, documented dialogue over censorship.
Some analytical processes and data classification tools on AML Network use AI-powered assistance. All outputs are:
We do not rely solely on AI to produce investigative content.
AML Network contributors, editors, and partners must disclose:
Any potential conflict is transparently disclosed on author profiles or article footnotes.
We operate within the boundaries of international digital rights, responsible journalism, and anti-corruption laws. Our reporting:
To submit a correction, request a redaction, propose a collaboration, or ask about reporting methodology, contact our editorial team.