Attestiv

AI validation for submitted photos, documents, video and audio

Intermediate API
Screenshot of Attestiv, AI validation for submitted photos, documents, video and audio

What is Attestiv?

Attestiv is an audio analysis tool. Attestiv validates submitted photos, documents, audio and video using AI detection, forensic signals, metadata, duplicate checks and configurable business rules. It targets insurance, financial services, cybersecurity, news and HR teams that need to flag manipulated or fraudulent files before they affect decisions.

Attestiv is a file validation platform built for organizations that receive digital evidence from outside parties and need to know whether it can be trusted before it drives a decision. Claim photos, loan documents, invoices, screenshots, recorded calls and video clips all arrive through normal business channels, and any of them can be altered, duplicated, generated by AI or simply wrong. Attestiv runs those submissions through a layered analysis that combines AI detection models with forensic signals, metadata inspection, duplicate checks and configurable business rules. The product is aimed at teams where a bad file carries a real cost: insurance claims and underwriting, financial services lending and disputes, cybersecurity groups tracking impersonation and social engineering, newsrooms verifying imagery before publication, and HR departments screening candidate materials. Those buyers typically have a review process already, and Attestiv is positioned as the automated gate in front of it rather than a replacement for human judgment. Results are meant to route suspicious files for closer inspection and let clean ones move through faster. The practical workflow starts with a submission, either through the platform or through the APIs described on the site. Attestiv returns findings across several dimensions at once: whether media looks synthetic, whether document structure and calculations hold up, whether a file appears elsewhere, and whether it satisfies rules the customer defines. That rule layer is what separates it from a plain deepfake detector, because a lender or insurer can encode its own policy into the check rather than reading a generic score. Attestiv sits in the content detector space but leans enterprise. Consumer deepfake checkers are cheaper and quicker to try, while Attestiv emphasizes platform and API access, vertical playbooks for insurance, finance, media and HR, and a validation workflow with human review. Buyers should expect a sales-led evaluation rather than self-serve signup. The site does not publish prices or a public plan grid.

How do you use Attestiv?

  1. 1Review the platform and API options
    Read how the Attestiv platform and its APIs are structured to decide whether validation runs through the hosted workflow or inside an existing system.
    Attestiv — Review the platform and API options
  2. 2Pick the vertical playbook that matches your submissions
    Pages for insurance, financial services, cybersecurity, news media and HR describe the file types and risks each team handles.
    Attestiv — Pick the vertical playbook that matches your submissions
  3. 3Understand the detection technology
    The technology page explains how AI analysis, forensic signals and metadata inspection are combined on a single file.
    Attestiv — Understand the detection technology
  4. 4Request the analysis starter service
    Start with the guided starter service to run real submissions through the analysis before committing to a wider rollout.
    Attestiv — Request the analysis starter service
  5. 5Set up the validation and review workflow
    Configure the rules that decide which submissions pass, which get flagged and which route to a human reviewer.

Pros and cons

Pros

  • Combines AI detection with metadata, forensics, duplicate checks and business rules instead of relying on a single model scoreAI
  • Vertical playbooks for insurance, financial services, cybersecurity, news media and HR map to real review processesAI
  • API and platform access support automated validation inside existing submission workflowsAI
  • Configurable rules let organizations encode their own policy rather than reading a generic verdictAI
  • Covers documents and audio alongside images and video, which many detectors ignoreAI

Cons

  • No published pricing or plan comparison, so cost has to be established through a sales conversationAI
  • No self-serve trial described on the homepage, which slows down any independent testingAI
  • Detection accuracy claims are not backed by published benchmark numbers or false positive ratesAI
  • Document, audio and video depth varies by vertical, so fit depends heavily on the specific use caseAI
  • A layered result set takes more interpretation than a single pass or fail scoreAI

How much does Attestiv cost?

Support

Attestiv maintains a support page and a frequently asked questions page, with a contact form for direct inquiries.

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Features

Analysis of submitted photos, documents, audio and video combining AI detection, forensic signals, metadata inspection, duplicate checks and configurable business rules. Includes a validation workflow with review routing, an analysis starter service for onboarding, and platform plus API access. Vertical configurations cover insurance claims and underwriting, financial services, cybersecurity deepfake and impersonation defense, newsroom verification and HR screening.

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Frequently asked questions about Attestiv

  • Does Attestiv have an API?
    Yes, Attestiv offers an API.
  • How do you use Attestiv?
    The walkthrough on this page covers 5 steps: 1. Review the platform and API options 2. Pick the vertical playbook that matches your submissions 3. Understand the detection technology 4. Request the analysis starter service 5. Set up the validation and review workflow.
  • What platforms does Attestiv support?
    Attestiv is available on Web App.
  • What are the limitations of Attestiv?
    No published pricing or plan comparison, so cost has to be established through a sales conversation. No self-serve trial described on the homepage, which slows down any independent testing. Detection accuracy claims are not backed by published benchmark numbers or false positive rates.

Status

StatusActive
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Outbound clicks0
Added10/22/2026

Platforms

Web App

Pricing

Paid