How to correct inaccurate information about you on a compliance database

Over the last few years, we have been increasingly approached by individuals concerned that incorrect or misleading information recorded about them on compliance databases is having a detrimental impact on their personal and professional lives. These concerns frequently arise in circumstances where individuals are adamant that the data being relied upon by financial institutions, payment providers or other regulated entities does not accurately reflect reality.

The consequences of inaccurate compliance data can be significant. Individuals may face reputational harm, difficulties accessing banking facilities, restrictions on financial products or broader disruptions to their commercial activities. In many cases, the affected individual is left attempting to navigate an opaque system with limited visibility as to what information is being relied upon and why adverse decisions have been taken.

In this article, we consider why inaccuracies arise on compliance databases, the practical implications of incorrect data and the steps that may be taken to seek correction.

The growing influence of compliance databases

Compliance databases now play a central role in financial and regulatory risk management. Financial institutions operate within increasingly stringent anti-money laundering (AML), counter-terrorist financing (CTF), sanctions and fraud prevention frameworks. As part of these obligations, institutions rely heavily on external intelligence providers and screening systems.

The modern regulatory landscape subjects financial institutions to intense and evolving obligations. Regulators increasingly expect firms not merely to identify financial crime, but to implement systems capable of preventing it. This emphasis on prevention naturally drives institutions toward more cautious and risk-sensitive decision-making. Within this framework, compliance databases function as critical risk management tools, designed to flag potential indicators of concern at an early stage, often before any misconduct has been established.

However, from the perspective of the individual concerned, the consequences of being associated with adverse or inaccurate data may feel indistinguishable from a finding of misconduct. A database entry may not constitute an allegation, yet its downstream effects — enhanced scrutiny, transaction friction or account closure — can be very real.

This tension between regulatory precaution and individual impact sits at the heart of many compliance database disputes.

Function of compliance databases

To review how inaccuracies can be corrected, it is first necessary to understand how compliance databases operate.

Compliance databases typically aggregate and categorise information from a wide range of sources. These may include public records, corporate registries, regulatory publications, sanctions lists and media reporting. Many databases also incorporate analytical layers, where data is interpreted and classified for risk assessment purposes.

These systems are not primarily designed to determine guilt. Their purpose is to support institutional decision-making within a risk management framework.

Financial institutions use compliance databases to answer questions such as:

• Does this customer present heightened regulatory risk?
• Is enhanced due diligence required?
• Does this relationship trigger AML or sanctions considerations?
• Are additional controls necessary?

The database itself does not make decisions – rather, it informs institutional judgements.

Where the underlying information is inaccurate, however, the judgements based upon that inaccurate information may also be flawed.

How does incorrect compliance information arise?

Inaccurate data on compliance databases can arise for numerous reasons, many of which are procedural or systemic rather than malicious.

One common source of difficulty stems from the reliance on media reporting. Compliance systems frequently incorporate adverse media screening, meaning that biased, incomplete or factually incorrect articles may influence risk assessments. Where media coverage lacks context or contains inaccuracies, this may be replicated within compliance records.

Media reporting presents unique challenges. Articles may be written quickly, based on incomplete information, or framed in language designed to attract attention rather than convey precision. Even if technically accurate, reporting may omit critical nuance. Compliance databases that aggregate such material may not reassess its reliability or evolving relevance.

Errors may also arise where databases fail to conduct sufficient due diligence or where regulatory classifications are misapplied. This is particularly relevant in relation to categories such as Politically Exposed Persons (PEPs). Incorrect PEP classification can trigger enhanced scrutiny, transaction monitoring, and, in some cases, restrictive institutional decisions.

Additionally, inaccuracies may result from:

• Identity matching errors;
• Outdated information;
• Administrative mistakes;
• Misinterpretation of legitimate activity; or
• Technical or data entry errors.

While individually mundane, these issues may produce disproportionately serious consequences.

Why accuracy matters

The presence of inaccurate compliance information may lead to:

• Bank account restrictions or closures;
• Delays in transactions;
• Rejection of financial applications;
• Disruption to business relationships; and
• Reputational concerns.

These consequences reflect the broader risk-based regulatory landscape. Financial institutions are incentivised to prioritise risk mitigation. Where uncertainty arises, institutions frequently adopt precautionary positions.

We have previously examined how these challenges are not limited to public figures or high-profile individuals. On the contrary, many lawful customers encounter adverse outcomes driven by risk-based decision-making processes.

For further discussion, see our related articles:

• “Why has my bank account been closed?”
• “Why has my business bank account been closed?”
• “Am I entitled to a basic bank account in the UK?”
• “How to challenge crypto-related bank account closures”

 

These issues illustrate a recurring theme: modern financial decisions are increasingly shaped by risk perception rather than established misconduct.

Risk assessment vs misconduct

A critical conceptual distinction must be recognised: compliance databases typically reflect risk indicators, not findings of misconduct.

Financial institutions operate under regulatory obligations that encourage precautionary behaviour. Decisions are often driven by perceived risk exposure rather than any proven misconduct. Nevertheless, inaccurate or misleading data may still produce serious real-world consequences.

This distinction is more than academic – it fundamentally shapes correction strategies.

Challenging factual inaccuracies involves demonstrating objective error. Challenging risk assessments requires engaging with evaluative reasoning. The two processes differ significantly in both complexity and evidentiary requirements.

Individuals often approach these matters believing they must “clear their name”. In practice, the legal exercise frequently concerns correcting inaccurate data rather than disputing allegations.

The challenges arising from compliance database errors

One of the most challenging aspects of compliance database disputes lies in their indirect nature.

Unlike regulatory investigations, individuals are rarely notified of database entries. Instead, they experience consequences as a result of the deployment of those entries. Institutional decisions may reference internal policies, regulatory obligations or risk frameworks without disclosing underlying data sources.

This opacity can create considerable uncertainty. Individuals may struggle to determine:

• Whether inaccurate data exists;
• Which database is involved;
• What specific information is problematic; and
• How correction may be pursued.

In many cases, multiple databases may influence institutional decision-making simultaneously.

What can you do if information is incorrect?

Individuals who believe inaccurate information is being processed about them may have legal and procedural routes available to them.

1. Seek visibility of the data

A common starting point involves submitting a request under applicable data protection legislation, often referred to as a Data Subject Access Request (DSAR).

A DSAR may assist in identifying:

• What data is being held;
• The source of the information;
• How the data is being used; and
• Whether inaccuracies exist.

While disclosure exemptions may apply, particularly in fraud prevention contexts, DSARs frequently provide valuable clarity.

2. Identify the nature of the inaccuracy

Correction strategies depend heavily on whether the issue concerns:

• Factual errors;
• Identity mismatches;
• Outdated information;
• Misclassification (such as PEP status); or
• Contextual misrepresentation.

Precision is essential. Broad objections rarely succeed where targeted correction is required.

3. Prepare evidence-based submissions

Successful challenges typically rely on structured, evidence-driven representations. This may include:

• Identity documentation;
• Transaction records;
• Supporting correspondence;
• Regulatory filings; and
• Expert clarification.

Assertions without supporting evidence are unlikely to persuade database operators or institutions.

4. Engage with database operators

Many compliance database providers maintain formal procedures for disputing or correcting data. Clear, legally grounded submissions are generally more effective than informal complaints.

Database operators frequently evaluate:

• Whether information is accurate;
• Whether retention is justified;
• Whether processing is lawful; and
• Whether contextual clarification is required.

These processes often require careful legal framing.

CIFAS markers and related issues

We are also being increasingly approached by individuals concerned about the wrongful imposition of fraud prevention markers against them, including CIFAS entries.

CIFAS markers present distinct challenges. Unlike adverse media or classification issues, fraud prevention entries may directly influence institutional behaviour across multiple financial entities.

If a CIFAS marker has been applied incorrectly, a robust challenge will often involve demonstrating, through evidence, that:

• No breach of terms occurred;
• Transactions were legitimate; and
• Regulatory obligations were satisfied.

 

We have previously published articles exploring:

• How to remove a CIFAS Marker
• Challenging a crypto-related CIFAS Marker

 

These matters frequently require detailed factual analysis.

 

Navigating institutional challenges

Inaccurate compliance data frequently intersects with broader financial institution-related issues, including:

• De-banking;
• Account freezes;
• Transaction restrictions; and
• Enhanced due diligence measures.

These matters often require careful legal analysis, particularly where disclosure is limited or decisions are framed in risk-based terms.

Modern financial regulation encourages precautionary behaviour. Institutions may act defensively where uncertainty exists. This regulatory context shapes both the emergence and resolution of compliance disputes.

The strategic importance of structured engagement

Compliance database correction is rarely achieved through informal correspondence.

Effective strategies typically involve:

• Precise issue identification;
• Evidence-based reasoning;
• Legal accuracy;
• Structured submissions; and
• Awareness of regulatory context.

Emotional arguments, while understandable, rarely succeed where objective clarification is required. 

The broader pattern of compliance database disputes

As noted in our retrospective overview of compliance database matters, 2025 – A year in compliance database corrections, individuals increasingly encounter challenges linked to inaccurate or misunderstood compliance information.

These matters often share recurring characteristics:

• Limited transparency;
• Risk-based institutional reasoning;
• Complex evidentiary requirements; and
• Interconnected institutional effects.

Understanding these patterns is essential when assessing potential correction strategies.

How Gherson can assist

Challenges involving compliance databases sit at the intersection of regulatory law, financial crime frameworks and data protection rights.

Gherson’s Regulatory, White-Collar and Investigations team has extensive experience assisting individuals facing:

• Bank account freezes or closures;
• Compliance-driven restrictions;
• Fraud prevention markers; and
• Adverse database entries.

 

This may include submitting Data Subject Access Requests, analysing institutional responses and advising on appropriate strategies for correction or challenge.

Where inaccurate compliance information is affecting your financial relationships or reputation, expert legal advice can assist with identifying potential corrective strategies.

If you would like to speak to us in respect of any of the issues raised in this blog or about your specific circumstances, do not hesitate to contact us for advice, send us an e-mail, or alternatively, follow us on X, Facebook, or LinkedIn to stay-up-to-date.

The information in this blog is for general information purposes only and does not purport to be comprehensive or to provide legal advice.  Whilst every effort is made to ensure the information and law is current as of the date of publication it should be stressed that, due to the passage of time, this does not necessarily reflect the present legal position.  Gherson accepts no responsibility for loss which may arise from accessing or reliance on information contained in this blog.  For formal advice on the current law please do not hesitate to contact Gherson.  Legal advice is only provided pursuant to a written agreement, identified as such, and signed by the client and by or on behalf of Gherson. 

©Gherson 2026

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