Multi-format file validation
Analyze submitted photos, documents, audio, and video for authenticity concerns, fraud indicators, errors, and business-context mismatches.
Attestiv is a digital file validation platform for organizations that need to assess submitted photos, documents, audio, and video before making business decisions. It combines AI analysis, forensic signals, metadata review, duplicate checks, and configurable rules through a web dashboard or APIs.
Attestiv is a digital file validation platform for reviewing submitted photos, documents, audio, and video. It combines AI analysis with forensic signals, metadata review, duplicate and reuse checks, business-data checks, and configurable business rules to assess files before they influence business decisions.
The platform is designed for workflows such as insurance claims, lending and underwriting, disputes, investigations, cybersecurity reviews, media verification, and hiring. It can identify indications of fraud, errors, omissions, synthetic media, manipulation, and mismatches with available context, helping teams determine whether a file should pass, be flagged, require more information, or be escalated for review.
Attestiv supports both a web dashboard and API-based workflows. Its DeepScan capability analyzes images at pixel and file level, while tamper scoring, reporting, and asset fingerprinting provide structured ways to review suspicious files and detect duplicates or reuse over time.
Analyze submitted photos, documents, audio, and video for authenticity concerns, fraud indicators, errors, and business-context mismatches.
Analyze images at pixel and file level to indicate how and where manipulation may have occurred, including signals associated with synthetic or altered media.
Assign each analyzed item a score from 1 to 100. Lower scores are described as more trustworthy; higher scores are treated as suspicious and include subcategory scores and descriptions of identified findings.
Add an automated fraud-detection layer to document-processing workflows so original documents can be checked for alterations without relying exclusively on manual inspection.
Use a drag-and-drop web dashboard for analysis and reporting, or access the dashboard’s functionality through APIs and SDKs for incorporation into existing workflows.
Create a unique fingerprint for a digital asset to support future authenticity checks and duplicate detection, and group related images into analysis reports that highlight areas for review.
Review claim and underwriting photos, documents, audio, and video for manipulation, reuse, missing support, or other fraud signals before claims decisions and investigations.
Validate submitted documents, collateral images, screenshots, audio, and video before lending, underwriting, disputes, investigations, or high-risk transactions.
Screen suspicious media, synthetic audio or video, and manipulated files that may be used in social engineering or attacks targeting executives or organizations.
Check questionable images and videos before publication or use in investigations, providing an additional validation step for content that may affect public understanding.
Help identify synthetic media, impersonation attempts, and suspicious submitted materials in recruitment and workforce processes.
Attestiv describes validation for submitted photos, documents, audio, and video. The platform can assess these files for fraud, manipulation, AI-generated content, metadata signals, duplicates or reuse, and business-rule conditions.
Each analyzed item receives a tamper score from 1 to 100. Higher-scoring items are treated as more suspicious and include subcategory scores and descriptions of identified findings. Related images can also be grouped into an Analysis Report.
Yes. The site describes a web dashboard as well as APIs and SDKs that expose dashboard functionality for integration into existing applications and workflows.
The site lists Photoshop edits, generative-AI deepfakes, image splicing, content insertion, and document alterations among the manipulation types its detection software can identify.
No detection system is described as infallible. Attestiv presents its analysis as scoring and decision support, and organizations can configure workflows to pass, flag, request more information, or escalate files for review.
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