Detect Fakes and Fraud with AI Photo Analysis

A picture may be worth a thousand words, but today it takes far fewer words than that to prompt a generative AI model to create fake photographs. Photo manipulation has been a concern for years with the rise of advanced editing software, but only recently has the game changed entirely. With models that can generate surprisingly lifelike photos that only continue to improve, businesses that rely on photographic data face serious risks. The time to control this risk and fight fraud is now, and AI photo analysis can help.

It can be surprisingly difficult for a human employee to detect some types of deepfake images. In high-volume applications, manually reviewing every photograph for authenticity could be beyond the scope of what a business can accomplish. With intelligent automation platforms such as Tungsten TotalAgility and the integration of an AI detection solution, businesses can achieve greater safety at scale.

The Tungsten Marketplace, a destination for custom-developed solutions to extend and enhance existing automation investment, hosts a solution ideal for this purpose: Attestiv. Let’s explore more about why such a solution is necessary and reveal what this powerful platform can do for your teams.

What are the Challenges Facing Businesses Today?

There are many businesses that require the submission of photos and media from customers, clients or even other partner businesses as part of certain processes. Consider an insurance company collecting information on a claim filed over a damaged vehicle, for example. While the business may eventually dispatch an adjuster to examine the claim in person, initial submissions often rely on photos supplied by the insured themselves. Fake photographs could lead to the potential for fraud, such as a simple claim approved without further inspection.

There are other processes affected, too, such as know-your-customer (KYC) compliance or user onboarding. Some sensitive processes may require users to submit personal information, such as identification documents, government paperwork, or individual photos. Without a reliable means for the detection of deepfake photos, these processes are also vulnerable to fraud and disinformation. Ultimately, that can even lead to serious security threats for a business, financial losses or damage to a brand's carefully built reputation.

What Industries Face the Biggest Risks?

The risk of encountering faked digital photos is a threat facing a broad number of industries. We've touched on how the insurance sector faces particular risks from this brand of fraud, but there are many other potential targets, too. Some of the others that may wish to investigate anti-deepfake technologies include:

• Banking and finance.
• Manufacturers and maintainers of the Internet of Things.
• Security.
• IT.
• Compliance managers, and more.

While the threat landscape is complex, there are solutions available right now.

Introducing Attestiv Realtime AI Photo Analysis

Attestiv is an AI technology solution designed with a specific purpose: provide a trustworthy means of verifying the authenticity of digital photographs submitted to businesses through any means. Attestiv is a cloud-scale platform that enables businesses to conduct a deep, thorough AI analysis of digital photos to detect fraud in real time.

Highly scalable, Attestiv can handle low or very high volumes of images. Through direct, full integration with TotalAgility, automated workflows can ingest photos and pass them over to Attestiv for analysis, then return output results for further action or decisioning.

For businesses, it's essential to control the costs of fraud and limit their potential damage to a brand's reputation and trustworthiness. Attestiv makes it possible with a resilient, flexible service.

A Quick Look at How Attestiv Works

The analysis process begins with data input into the Attestiv solution. Supported formats include the most common types of digital photo submission formats, JPEG and PNG. Once ingested, the Attestiv solution applies multiple AI models to analyze the contents of the image in depth. Upon the conclusion of analysis, the model generates a "tamper score" on a scale of 1 to 100, indicating the likelihood that the photo has been faked or manipulated.

Scores below a 50 indicate an image that is more likely to be genuine and therefore acceptable. Scores greater than 50 indicate possible fraud and can trigger a human review process, which TotalAgility workflows facilitate with speed and accuracy. Attestiv includes six additional tamper scoring models to provide more detail and insight into other aspects of the submitted photo, including the following:

• Metadata tampering. Receive a score that indicates whether someone may have altered or faked the metadata for a file, such as when or where the photo was taken.
• Provenance and reverse search scoring. Determine the likelihood that a photo was stolen from a known source or downloaded from the internet.
• Photos of photos. Discover whether someone has taken a screen capture or a photo of a screen instead of providing an original document.
• Quality and integrity. Identify possible artifacts and traces of inconsistency that indicate generative AI created the photograph. Determine whether a photo may have been deliberately blurred or submitted in low quality to obscure important facts.

With this level of comprehensive analysis, preventing fraud is far simpler. Humans only need to review the photos with scores that indicate potential problems, allowing employees to focus on valuable tasks over tedious and manual verification of legitimate photos. Users of Attestiv can realize savings of up to 60-80% compared to fully manual inspections, and the savings created by fraud prevention can be just as noticeable.

Improve Your Anti-Fraud Technologies Today

The risk of deepfakes and fraud might be on the rise, but companies aren’t without recourse. With the power of multiple AI models and highly detailed fraud scoring, solutions such as Attestiv deliver the scalable support necessary in insurance, public safety, healthcare and many other areas. With integration directly into a TotalAgility workflow, it’s possible to automate the flow of data through and out of Attestiv to empower your teams to stop fraud at the source and enhance process outcomes.

This innovative solution is just one example of the value you can discover in the Tungsten Marketplace. With solutions that can let you leapfrog over long development cycles to quickly implement robust functionality, you not only obtain the tools you need, but you can do so cost-effectively and with a clear, fast path to a positive ROI. Explore more about AI photo analysis in the Marketplace today.