GPUs are bringing expansive scale to media fraud detection

GPU example inage

Over the past few years, AI-based technologies have been driving digital innovation in the insurance sector in areas such as digital fraud detection. However, the tools that detect signs of fraud, such as altered digital media, are often run offline due to intensive processing requirements. Within insurance Special Investigation Units (SIU), where unusual or suspicious claims are sent for further analysis tools can run on a random case basis or on an as-needed basis to detect if the digital media being used for an insurance record contains fraud or other anomalies. While this approach can track down some fraud, it is unable to scale to handle hundreds of millions, if not billions, of media files used for insurance claims annually. Furthermore, the approach may not be proactive enough to prevent payment of fraudulent claims.

What types of solutions can be used to enable large scale, real-time fraud prevention? 

 

It turns out there are a couple of ways to go about this:

  1. Real-time fingerprinting at the point of capture for photos and videos that validates the contents, time/date and location of each media file when it is processed

     

  2. Real-time AI analysis that occurs inline with every transaction that analyzes and scores each media file on the basis of fraud likelihood

While the former can be used when redesigning processes like claims, the latter can apply to any existing process and to photos captured from any source. In tandem, both solutions provide the highest degree of fraud protection. Imagine data from a claim landing at its destination with an initial fraud analysis attached, regardless of where the data originated.

Real-time fraud analysis

By utilizing GPUs in a scalable cloud environment, real-time fraud analysis becomes a reality. At Attestiv, we have seen over an order of magnitude reduction in processing time for media fraud detection using GPUs. That’s enough latency reduction to enable the analysis to run real-time, without affecting the user experience, but spotting more fraud and stopping it in its tracks. The result? A fraud protection solution that covers every transaction, proactively.

Learn more about AI solutions for insurance

AWS and NVIDIA recently hosted a panel featuring a variety of experts in the InsureTech sector, including Attestiv, Cape Analytics, and Root Insurance, who offered their perspectives on where we are today in terms of AI and the insurance sector: what’s working, what’s not, and what are the most pressing issues we need to acknowledge and solve.

Watch the recording here and let us know what you think.

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Nicos Vekiarides

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Attestiv provides authenticity and validation for digital photos, videos and documents using patented tamper-proofing blockchain technology and AI analysis. 

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Nicos Vekiarides

Nicos Vekiarides

Nicos Vekiarides is the Chief Executive Officer & co-founder of Attestiv. He has spent the past 20+ years in enterprise IT and cloud, as a CEO & entrepreneur, bringing innovative new technologies to market. His previous startup, TwinStrata, an innovative cloud storage company where he pioneered cloud-integrated storage for the enterprise, was acquired by EMC in 2014. Before that, he brought to market the industry’s first storage virtualization appliance for StorageApps, a company later acquired by HP.

Nicos holds 6 technology patents in storage, networking and cloud technology and has published numerous articles on new technologies. Nicos is a partner at Mentors Fund, an early-stage venture fund, a mentor at Founder Institute Boston, where he coaches first-time entrepreneurs, and an advisor to several companies. Nicos holds degrees from MIT and Carnegie Mellon University.

Mark Morley

Mark Morley is the Chief Operating Officer of Attestiv.

He received his formative Data Integrity training at Deloitte. Served as the CFO of Iomega (NYSE), the international manufacturer of Zip storage devices, at the time,  the second fastest-growing public company in the U.S.. He served as the CFO of Encore Computer (NASDAQ) as it grew from Revenue of $2 million to over $200 million. During “Desert Storm”, Mark was required to hold the highest U.S. and NATO clearances.

Mark authored a seminal article on Data Integrity online (Wall Street Journal Online). Additionally, he served as EVP, General Counsel and CFO at Digital Guardian, a high-growth cybersecurity company.

Earlier in his career, he worked at an independent insurance agency, Amica as a claims representative, and was the CEO of the captive insurance subsidiary of a NYSE company.

He obtained Bachelor (Economics) and Doctor of Law degrees from Boston College and is a graduate of Harvard Business School.