Our 50th software release ushers in exciting new technology People say that every photograph tells a story. Here at Attestiv, we can always find at least two. First, there’s the […]
Attestiv uses AI to detect photo anomalies and fraud by scanning for evidence across a variety of attributes. Once our process is complete, each image receives an easy to understand tamper score.
At Attestiv, we are able to secure data by fingerprinting each item to the blockchain to prevent potential inside and outside threats.
Attestiv named as a Representative Adversarial Attack Resistance Vendors in the AI TRiSM Market in 2011 Gartner Market Guide
Similar to digital media processing, contextual anomalies are not a sure sign of fraud, but are useful in identifying cases where straight through processing is not appropriate and further interaction may be necessary.
While processing can occur totally inadvertently as a result of internal operations, poorly maintained chain of custody and/or tracking changes to the media, companies should review these methods to ensure they aren’t causing more harm than good.
Duplication is the use of the same photos across multiple claims, whether within an insurance carrier or across carriers and this may be a sign of fraud. The ability to detect duplicate photos within or across carriers is an important tool to prevent potential fraud.
Malicious tampering of digital media is typically a sign of fraud. When media has been altered to change the state or appearance of an insured asset, the media should be rejected and/or replaced. Malicious tampering can happen in a number of ways.
By having a process that immediately detects low quality and then automatically requests a customer to resubmit that image or video is the ideal way to prevent issues whether it be a claim, quote or other transaction.
Photos and videos should be of high enough resolution to meet the needs of transactions and claims. When relying on images to make decisions and support automated operations, the details within the photo matter.