AI-fuelled investment fraud: how AI is helping criminals scam entire companies

AI is becoming part of the wider infrastructure behind investment fraud. Criminals can now use deepfakes and other AI-enabled techniques to create believable identities and simulate human behaviour over extended periods, making fraudulent interactions increasingly difficult to distinguish from legitimate ones.

Techniques can include voice cloning, document forgery and the creation of fake digital footprints designed to support an apparently credible identity. Fraudulent trading platforms and investment websites can also be built to closely resemble legitimate businesses, using fake success stories and reviews, AI-generated team members, typosquatting domains and cloned website layouts.

These techniques are rarely used in isolation. Increasingly, they can form part of a wider fraud ecosystem designed to build credibility over time.

Jonathan Benton, founder and Chief Executive at iSanctuary said, “Investment fraud is rarely about one convincing lie. It's about building trust, removing doubt and creating just enough urgency that people stop asking the questions they normally would. The technology has changed dramatically, but the psychology behind these scams has remained consistent.”

How Separate Technologies Combine To Create A Convincing Fraud Ecosystem

Modern fraud operations can involve several technologies working together, allowing criminals to create more convincing scams and operate them at greater scale.

1. All fraud ecosystems start with mass data collection, from places such as less secure websites and databases or malware.

2. Deepfake technology then uses this data to clone voices, identities, and faces.

3. From here, further technologies can manipulate and evade fraud trackers like geo-blocking by device spoofing and proxy networks The above is the start of many scam types, indicating just how many technologies can be combined to create a comprehensive scam.

The Role Of Blockchain Tracing And Transaction Analysis During A Fraud Investigation

Also known as blockchain forensics, blockchain tracing allows investigators to follow transaction paths and investigate wallet addresses to deanonymise and link asset movement to real-world criminals.

Tracing transactions is only one part of the investigative process. Identifying where assets have moved must be combined with timely legal, investigative and operational action if organisations are to have a realistic opportunity to prevent further dispersal or support recovery.

Why Automated Analytics Require Human Judgement And Verification

Artificial intelligence can process large amounts of information and identify patterns quickly, but it does not replace the need for contextual judgement.

Seeing the bigger picture behind the data can be the difference between identifying an interesting pattern and understanding what that pattern actually means within an investigation.

That is why automated blockchain analysis still needs to be combined with human judgement and verification. Technology can surface patterns and connections, while investigators provide the context needed to interpret them.

As criminals adopt increasingly sophisticated technology themselves, that combination of technical capability and human intelligence becomes even more important.

The Importance Of Fast Cooperation Between Technology Platforms

Speed also matters once fraudulent activity has been identified. Delays between investigators, technology providers and the platforms involved can give criminals more time to move assets or complicate recovery efforts.

Faster cooperation and information sharing can help reduce that window and allow organisations to respond while the intelligence gathered during an investigation is still actionable.

Technology therefore cannot operate in isolation. Effective fraud response depends on the ability of different organisations and platforms to act on the information being produced.

AI is changing how convincingly and at what scale investment fraud can be carried out, but the underlying psychology of these scams has remained remarkably consistent.

Criminals still depend on trust, credibility and urgency. What has changed is the amount of technology they can now place around that manipulation.

Responding effectively requires the same combination in reverse: strong forensic technology, human judgement and rapid cooperation between the organisations capable of acting on what investigators uncover.