Catfishing: Not Just for Dating Apps Anymore—How AI is Changing the Claims Landscape

Imagine receiving a call from a policyholder you’ve spoken with before.

The voice sounds familiar. They know the details of their policy. They describe the loss clearly and confidently. Shortly afterward, supporting documents arrive in your inbox, complete with photographs that appear to confirm the damage.

Everything looks legitimate.

The claim is reported promptly. The documentation is organized. The conversation feels genuine.

The problem?

None of it is real.

The voice has been cloned using artificial intelligence. The photographs have been manipulated. The documents were generated in minutes using readily available AI tools. Even the identity of the claimant has been fabricated.

It sounds like something from a crime thriller, but it represents a very real challenge that insurers, TPAs, and claims professionals are beginning to face.

Most of us have heard the term catfishing. Traditionally, it refers to someone pretending to be someone they’re not online, usually on social media or dating platforms.

For years, it was a problem of the digital world. Today, it is becoming a claims problem.

Artificial intelligence is rapidly changing how we work, communicate, and process information. While many of these advancements bring significant benefits to the insurance industry, they also create new opportunities for fraudsters. The result is a growing challenge for claims professionals: determining not just what happened, but who is actually presenting the claim.

A New Kind of Fraud Risk

Historically, claims fraud has often involved exaggerated losses, fictitious injuries, altered invoices, or staged events. While these still exist, AI introduces an entirely new dimension.

Today, readily available tools can create:

• Convincing fake documents
• Manipulated photographs
• Synthetic voices
• Deepfake videos
• AI-generated emails and communications
• Entirely fabricated digital identities

What was once the preserve of sophisticated criminal organizations can now be produced with consumer-grade software and a modest amount of technical knowledge.

Imagine receiving a call from an insured whose voice matches previous recordings. The details appear accurate. The paperwork looks legitimate. The photographs support the loss.

Yet none of it may be genuine.

The challenge is no longer simply validating the claim. It’s validating the claimant.

Seeing Isn’t Always Believing

Claims professionals have traditionally relied on a combination of documentation, interviews, expertise and instinct.

Unfortunately, many of the indicators we’ve historically trusted can now be manufactured.

A photograph can be altered in seconds. A voice can be cloned from a few seconds of audio. An email can be generated in a tone that closely resembles a genuine sender. Even identification documents can be replicated with astonishing accuracy.

The saying “seeing is believing” has never been more relevant, nor more dangerous.

As AI-generated content becomes increasingly difficult to distinguish from authentic material, verification processes will need to evolve alongside the technology.

The Human Factor Remains Critical

Despite the headlines surrounding AI, experienced claims professionals still possess an advantage that technology cannot easily replicate.
Judgment.

Seasoned adjusters and examiners recognize inconsistencies. They understand behavior patterns. They ask follow-up questions. They identify subtle discrepancies that may not immediately appear in documentation.

Technology can assist, but experience remains one of the strongest fraud detection tools available.

Many successful investigations begin with nothing more than a claim professional asking: “Something about this doesn’t quite fit.”

That instinct continues to matter.

Fighting AI with AI

The good news is that the same technology creating new fraud risks is also helping organizations detect them.

Across the industry, AI-powered tools are being used to:

• Identify anomalies in claims submissions
• Detect potentially manipulated images and documents
• Flag suspicious patterns across large claim volumes
• Compare claims against known fraud indicators
• Support investigators with faster data analysis

AI excels at reviewing large amounts of information quickly. It can spot trends and connections that may be difficult for a human reviewer to identify manually.

Rather than replacing claims professionals, these tools are increasingly acting as force multipliers, allowing teams to focus their expertise where it is needed most.

5 Practical Steps Claims Organizations Can Take Today

While the technology continues to evolve, there are several practical measures that insurers, TPAs, and adjusters can implement immediately.

Strengthen identity verification. Multi-factor verification is becoming increasingly important for higher-risk claims. Confirming identity through multiple sources can help reduce the risk of synthetic identity fraud.

Increase scrutiny of digital evidence. Photographs, invoices, receipts, and supporting documents should be reviewed with appropriate skepticism, particularly when claim circumstances appear unusual or documentation arrives in unexpected formats.

Maintain strong claimant engagement. Direct conversations remain valuable. Skilled claims professionals often uncover inconsistencies through natural conversation and thoughtful questioning.

Invest in training. Awareness is one of the most effective controls. Claims teams should understand the capabilities of AI-generated content and the warning signs associated with emerging fraud techniques.

Leverage technology responsibly. Organizations should explore AI solutions that support validation, triage, and fraud detection while ensuring that human oversight remains central to decision-making.

The Future of Claims

The insurance industry has adapted to technological change many times before. From paper files to digital claims systems. From fax machines to real-time communication. From manual analytics to predictive modelling.

AI represents the next major evolution.

The challenge will not be deciding whether to use AI. That decision has largely been made. The challenge will be learning how to harness its benefits while protecting against its risks.

Claims organizations that successfully combine advanced technology with experienced human judgment will be best positioned to manage the new realities of the market.

Final Thought

Catfishing may have started on dating apps, but the underlying principle is the same everywhere: someone presenting themselves as something they’re not.

As artificial intelligence becomes more powerful, claims professionals will increasingly need to verify not only the facts surrounding a loss, but the authenticity of the people and evidence behind it.

Because in today’s world, the first question may still be: “Did this loss occur?”

But the second question may be even more important: “Am I really speaking with the insured?”

If you need help identifying or establishing processes to combat ever-evolving fraud and identity theft schemes, let’s talk—contact our SIU team.