Attestiv

Attestiv

Attestiv is an enterprise digital media validation platform that checks photos, videos, documents, and audio for tampering, deepfakes, and fraud. Each file gets a tamper score from 1 to 100, with lower scores indicating trustworthy content. You can upload through a drag-and-drop dashboard or integrate via REST APIs and SDKs.

Most detection tools flag synthetic content in isolation. Attestiv also runs files against your custom business rules, claim data, and external records, so a photo that passes pixel analysis can still fail if metadata or contextual checks do not match. Its DeepScan feature adds pixel-level heat maps that show where an image was edited, and fingerprinting stores asset signatures for duplicate detection without altering originals.

Insurance carriers, financial services firms, cybersecurity teams, news publishers, and HR departments use Attestiv to validate claims photos, loan collateral, source media, and candidate submissions. The platform targets organizations facing touchless automation workflows where fraud prevention cannot rely on manual review alone.

Top Features:
  1. Scores every photo, video, and document on a 1 to 100 tamper scale where lower means trustworthy

  2. DeepScan renders pixel-level heat maps showing exactly where images were edited

  3. Runs 8 detection models covering metadata, shallow fakes, deepfake, reuse, and reverse image search

  4. Fingerprints assets for duplicate detection without modifying original files

  5. Built for touchless claims workflows where insurers expect 70% of standard claims to go touchless

  6. Validates uploads against customizable business rules and external claim data

  7. Integrates via REST APIs, SDKs, and insurance platforms including Duck Creek and Insurity

Pros:
  1. Covers photos, videos, documents, and audio in one platform with a unified tamper score.

  2. Offers both a drag-and-drop web dashboard and full API access for enterprise integration.

  3. Fingerprinting stores asset signatures for duplicate detection without modifying original files.

  4. Validates files against customizable business rules and external data, not just pixel-level signals.

Cons:
  1. No public pricing page; customized plans require contacting sales for a quote.

  2. Trial access starts through a sales contact form on the Analysis Starter Service page, not instant self-serve signup.

  3. Enterprise insurance and financial services focus may be more than a small team needs for basic media checks.

FAQs:

Does Attestiv offer a free trial?

Yes. Attestiv lets you start a trial of its full photo, video, and document analysis platform, including API access, through the Analysis Starter Service page on attestiv.com. You contact a sales representative via the form on that page to begin.

What file types can Attestiv analyze?

Attestiv validates photos, videos, documents, and audio recordings. Its platform covers image manipulation, deepfake video detection, document fraud, and generative AI content from tools like DALL-E, Stable Diffusion, and Midjourney.

How does Attestiv score tampered files?

Attestiv assigns each analyzed file a tamper score from 1 to 100, with lower scores considered trustworthy and higher scores flagged for review. Subcategory scores from models like metadata, shallow fakes, deepfake, and contextual analysis explain what triggered the rating.

Does Attestiv integrate with existing business systems?

Yes. Attestiv integrates through REST APIs and SDKs into workflows such as insurance claims platforms. Partner logos on attestiv.com include Duck Creek and Insurity, and dashboard functionality is fully accessible via API.

How long does Attestiv take to analyze a file?

Attestiv typically analyzes a file in seconds, depending on file size, resolution, and the number of anomalies detected. The platform page states that photo or video anomalies appear in a comprehensive dashboard within seconds of upload.

What industries use Attestiv?

Attestiv serves insurance, financial services, news and media, cybersecurity, and human resources teams. Common use cases include claims photo validation, collateral verification for lenders, source media authentication for publishers, and deepfake phishing defense.

Category:

Pricing:

Paid

Tags:

Deepfake Detection
Document Verification
Fraud Prevention
Media Authentication
Digital Forensics
Insurance Technology

Tech used:

Chakra UI
jQuery
WordPress
Cloudflare
Google Cloud
Google Tag Manager
HubSpot
Google Fonts
Font Awesome
PHP
Ruby
Elementor
Webpack
Emotion
Styled Components
Tailwind CSS
YouTube

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