Attestiv CEO about utilizing DLT to battle faux information, insurance coverage fraud and deep fakes


On March 18, Attestiv, an organization that fights digital fraud and deepfakes utilizing blockchain know-how, introduced that it has greater than $ 2 million in a seed providing.

Cointelegraph lately spoke with Attestiv's CEO Nico Vekiarides to investigate his views on the position of blockchain in combating faux information and digital fraud within the insurance coverage business.

Cointelegraph: Can we get an outline of how the Attestiv platform works?

Nicos Vekiarides: Attestiv supplies authenticity to digital photographs, movies and paperwork by registering a fingerprint on a blockchain when a digital merchandise is captured.

Though it doesn’t comprise the asset itself, the digital fingerprint is securely chargeable for all asset content material and necessary metadata corresponding to time stamp and site. It additionally contains different elective options, corresponding to consumer or context delicate info. At any time sooner or later, the asset might be in contrast in actual time to the ledger fingerprint to find out whether it is being modified in any approach.

Behind the scenes, your complete course of contains AI, heuristics, and even forensics to trace and decide authenticity, detention, and even perceive minor modifications, reformatting, resizing, and so forth. As a result of we’re ledger impartial, we associate with each private and non-private blockchains or ledgers, and can announce companions quickly.

CT: What are some purposes for the Attestiv platform?

NV: Our first use circumstances deal with the insurance coverage ecosystem, the place many stakeholders don't all the time share a standard system or belief.

Our purchasers vary from insurance coverage brokers, specialists, carriers and even regulation enforcement officers. The insurance coverage business is already going through $ 30- $ 40 billion in actual property & sufferer fraud solely within the US (in response to the FBI).

With digital transformation and self-service cellular consumer interfaces, both in rollout or on the horizon, there’s a rising have to detect and stop fraud, notably based mostly on latest enhancements in AI-based photograph and video modifying instruments – which can be found for nearly everybody.

CT: Are there any tasks for which elements of the $ 2 million improve are earmarked?

NV: Completely. We’re increasing our perceptual fingerprint know-how to cowl extra use circumstances, corresponding to video that has been redacted, transcoded or at a loss. We construct forensic know-how that works in tandem with our blockchain-based sabotage prevention. Lastly, we create optimum consumer experiences for our clients by means of apps or APIs that combine seamlessly into present purposes.

CT: Are you able to say one thing concerning the position of blockchain know-how within the battle in opposition to faux information?

NV: Blockchain can play a giant position in combating faux information to the extent that the business is prepared to set a brand new customary for capturing photographs and movies.

To a sure extent, the traces get blurry when editorialization comes into the image – and there are particular cases the place we are able to greatest create demonstrable approval of a information article moderately than show its authenticity.

Social media is struggling to carry order to this area, however deep fakes laws are nonetheless within the early levels and albeit evolve often. For instance, what’s satire versus faux information can generally be skilled in a different way by completely different folks.

Now we have discovered that faux information might be very problematic throughout a pandemic. Early on a video was unmasked that reportedly confirmed the Wuhan market the place the COVID-19 pressure originated and was shot someplace within the Philippines. However the fact got here out after a major quantity of sharing.

Individuals are clearly extra susceptible and usually tend to consider in photographs, movies or prints when they’re in a panic. With the ability to distinguish between what’s actual, what’s faux and what you suppose is essential in these circumstances.

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