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AI Validation & Forensic Technology
Industry-leading automated validation with protection against altered digital media
The Attestiv Platform is built on our patented AI technology to authenticate, validate, and ensure the integrity of important digital media and data.
Our technology takes any digital media (including photos, videos, audio, documents, etc.) that is uploaded via UI, API, or captured by Attestiv web apps to determine its validity. In combination with externally fed data and customized business rules, Attestiv saves time, money and stops fraud.
We score each item from 0 to 100 based on anomalies detected by multiple models. We optionally store a unique fingerprint enabling validation or duplicate detection at any point in the future. Additional contextual analysis helps automate and simplify processing of digital media, including text extraction, object recognition and even arithmetic validation.
Our Process
Intake via app or API
Analysis and tamper detection
Validation & Reporting
Automation
(optional)
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Intake via app or API
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Real-time analysis & tamper detection
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Validation & Reporting
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Automation
Attestiv Scoring System
Every item that gets analyzed by our system is given a score ranging between 1 to 100. Items scoring lower on the spectrum are considered to be valid and need no further review.
We also group and analyze related images into an Analysis Report that summarizes and calls out areas needing review.
Our AI models explained
Many editing or AI-generation tools leave traces in an image’s metadata. Additionally, bad actors may directly edit this data in an attempt to cover their tracks. This model searches through the image metadata for signs of manipulation.
The shallow fakes model looks for files that have been edited or modified using editing tools. For photos, tools such as Photoshop, or for documents, PDF editors are usually indicative of manipulation. Pre-existing versions of files are checked and compared if present as well as visual signs of alteration.
Images only
The reuse model identifies photos of other photos or screens (television, computer monitors, etc.)
Images & Documents
The deepfake model finds evidence of AI tampering in the image file itself. This includes AI-generated content, mismatched file extensions and corrupted contents.
Images only
The internet web search model performs a reverse image search against a wide range of websites.
Documents Only
This model ensures that contextual aspects of documents are valid ranging from layouts, numeric calculations and other logical indicators including agreement with external file data, claims data or business rules.
Videos only
This model characterizes the video intent, whether its educational, deceptive, satirical, etc.
Videos only
This model checks for audience sentiment (if applicable), fraud/scam risk and emotional manipulation
Features
Patented technology
Attestiv makes extensive use of AI to perform media analysis, categorization, text extraction, and authentication. The easy to understand scoring system breaks down results in categories with a easy to understand description of potential manipulations.
Enterprise-ready
Attestiv is designed to meet enterprise security and compliance requirements for regulated industries, offering highest levels of data encryption at rest and in flight, APIs that purge all data after analysis, and ACLs to securely manage and administer settings for your organization.
Web UI, APIs or Web Apps
Attestiv analyzes data from any source, whether from the point of capture or whether it originated externally from an outside party, offering the ultimate flexibility to work on any files, anywhere.
Optimized User Experience
Whether your goal is to save time and money on media inspection or to prevent fraud and cyberthreats, Attestiv solutions will meet your user experience goals while helping you automate the handling and validation of digital media.
Attestiv Products, Solutions & Technology
Scalable. Secure. Compliant.
From the Blog
Media and Document Validation Isn’t One-Size-Fits-All. Why Rule Customization Changes Everything.
Businesses are coming to the realization that validation and fraud detection aren’t the hard part. Decisioning is. Here’s what can be done.
Automated Validation Doesn’t Just Reduce Fraud — It Saves Money Everywhere
Automated validation solutions can pay for themselves beyond stopping fraud—because they reduce costs across everyday operations.
Sora Is Gone. Deepfake Video Risk Isn’t. Here’s Why.
Sora’s retirement does not mean deepfake video threats will ratchet down. If anything, it’s the opposite.