Industry-leading protection against altered or tampered digital media
The Attestiv Platform is built on our patent-pending AI technology to authenticate, validate, and protect the integrity of important digital media and data.
Our technology takes any digital media (including photos, videos, documents, sensor data, telemetry data, etc.) that is captured by Attestiv apps and APIs or imported from any external source to identify if it has been altered or tampered with.
We forensically scan each item to detect anomalies and store a fingerprint on a blockchain (distributed ledger) where it cannot be changed, enabling validation at any point in the future. We offer additional analysis to help automate and simplify processing of digital media, including text extraction and object recognition.
How it works
Capture or Import
Capture or import digital media files like images, video, documents or data from mobile devices, cameras, drones, surveillance systems, or legacy digital media libraries through the Attestiv mobile or web app or APIs. Learn more about our Products.
Attestiv uses the media data to create a secure fingerprint. This fingerprint becomes a unique representation of the digital media asset, similar to human fingerprint and can identify future changes or alterations.
Real-Time Media Tamper Detection
In less than a second, Attestiv uses AI to detect photo or video anomalies and/or fraud attempts by using a 6-point forensic scan resulting in an aggregate tamper score. The 6-points scan includes metadata, provenance, photo of photo, image integrity, image quality, and a reverse search scoring of each piece of media.
Attestiv puts the fingerprint in a tamper-proof blockchain. The digital media associated with the fingerprint does not have to be stored with the fingerprint and are generally vaulted separately meaning that you can keep them private and prove authenticity at any time in the future using Attestiv as a privacy silo.
Attestiv provides document analysis to read and process text within documents eliminating manual entry and also recognizes objects within images and videos.
Patent-pending real-time verification informs viewers of the digital media whether it is authentic, imported, unknown or altered.
Tamper-proof photos & videos
As data is captured from cameras or imported from digital media libraries, Attestiv tags the digital media with metadata and stores a unique “fingerprint” in an encrypted, tamper-proof blockchain distributed ledger.
Attestiv makes extensive use of AI algorithms to perform image categorization, text extraction, and authentication. Attestiv can even authenticate versions of an original photo or video that have been saved in different resolutions or formats.
Multiple authenticity levels
Attestiv verifies authenticity throughout the digital media file’s lifecycle and chain of custody. From Authenticated capture, to Imported, Scanned, Endorsed, or Altered.
Secure, evidence-grade proof
Because fingerprints are stored in a tamper-proof blockchain ledger to ensure authentication, your data cannot be compromised. Traditional chain of custody protocols are no longer needed as digital media can be securely vaulted or shared with trusted parties. Regardless, Attestiv can identify changes or alterations, even eliminating insider threats.
Attestiv is designed to meet enterprise security and compliance requirements, offering a storage agnostic architecture allowing secure storage of data virtually anywhere, ledger-agnostic architecture compatible with a choice of public or private distributed ledgers and enterprise ACLs that operate seamlessly with your existing user management.
Optimized User Experience
Whether your goal is to streamline workflows to save time and money or retain your existing branded front-end without altering familiar interfaces, Attestiv solutions will meet your user experience goals while you modernize the handling, tracking and validation of digital media files.
Attestiv Products, Solutions & Technology
Scalable. Secure. Compliant.
From the Blog
Learn about how automated detection operates, two of the approaches typically used and the pros and cons of each.