What you actually get from Attestiv
Attestiv is a Lehi, Utah based startup that sells a forensic media-authentication tool called DeepScan, built to flag deepfake video, face swaps, lip-sync manipulation, and other edits in submitted files. It targets high-risk decision workflows such as insurance claims, underwriting, lending, and compliance, and offers both a web dashboard and an API for scanning uploaded files or social-media video links. Each scan returns a 1 to 100 suspicion rating rather than a binary verdict, and the company also offers a fingerprinting feature that seals media to an immutable ledger so later tampering can be detected. Attestiv is a small, seed-stage company (about $4.24 million raised) rather than a large enterprise security vendor.
Attestiv pricing
Attestiv does not publish a public rate card. No published pricing. Attestiv's own FAQ states plans are custom-tailored per client; there is no public pricing page.
Source: attestiv.com/helpie_faq/does-attestiv-offer-different-pricing-, read 2026-09-07.
No public rate card. Any number you see quoted for Attestiv on a comparison site is a third-party report, not a vendor price. Ask for the contract minimum and the termination clause on the first call.
Strengths
- Covers video, image, audio, and document authentication in one platform rather than a single media type
- 1 to 100 suspicion score plus flagged categories (generative content, face replacement, lip sync, edits) instead of a bare true/false verdict
- Web app and API access, with support for scanning direct file uploads or social-media video links (YouTube, TikTok, LinkedIn, X, Facebook)
- Fingerprinting to an immutable ledger lets a customer later verify a file has not been altered since it was scanned
- Reports a 97 percent plus AUC accuracy benchmark for its detection models
Weaknesses
- No self-serve pricing anywhere on the site; every plan requires a sales conversation
- Video scans are limited to about 5 minutes of footage by default, with longer scans requiring a support request
- Small, seed-stage company (about $4.24M raised) compared with better-funded deepfake-detection competitors
- Not all social platforms allow link-based scanning, so some content still requires manual upload
Best for
- Insurance and claims teams validating submitted photos or video before paying out
- Compliance or fraud teams that need document, image, video, and audio checks under one vendor
- Organizations that want an API to screen inbound media rather than a manual reviewer workflow
Not ideal for
- Buyers who want to see a price before talking to sales
- Teams needing to scan long-form video (over roughly 5 minutes) without a support request
- Organizations that only need a single, narrow detection type such as audio-only deepfake screening
Telling you about the problem is the cheap half of the problem
Attestiv detects well. Detection is genuinely useful and it is genuinely hard, and knowing about something early is worth real money.
Detection and remediation are different businesses, and this category consistently sells the first while implying the second. An alert tells you something exists. It does not contact the platform, build the policy argument, escalate to the host, or produce the counter-material that changes what a search returns. The buyer receives a notification and the work still starts at zero.
Alerts arrive at machine speed. Remediation happens at human speed.
The gap shows up as a queue nobody is staffed to clear. Alerts arrive at machine speed. Remediation happens at human speed, and needs people who know each platform’s actual policy language. You end up paying a subscription that converts an unknown problem into a known one and stops there. That feels like progress for about two months.
Where this lands in 2026
At the AI layer the gap is at its widest. Monitoring tools report that a model said something false about you. That is the easy half. Changing the answer means working the sources the model retrieves from and re-measuring until it moves, and few products in this category do that part.
That is why this review sits on the site of a firm that competes with Attestiv. The argument is not that Attestiv is a bad product. Its category was designed against a version of your problem that no longer describes the whole surface. The part it was never built to cover is the part growing fastest.
A detection score is evidence, not a remedy. The work that ends a deepfake is the takedown chain: platform reports, hosting complaints, registrar escalation, and the paper trail that survives a re-upload.
Key facts
- Founded 2018 by Mark Morley
- Headquartered in Lehi, Utah
- Raised about $4.24 million across 5 funding rounds, including Plug and Play Tech Center, Borderless, and Castle Island Ventures
- Reports 97 percent plus AUC accuracy on its detection models
- Product name for the detection tool is DeepScan, accessed via web app or API
Attestiv covers one lane. We cover the surface.
You get deepfake & synthetic-media removal as one protocol inside a measured engagement, not as a standalone subscription. Your exposure is measured first against a Bayesian baseline, then the counter-strike work runs, then your surface stays monitored across search, review platforms, and the AI answer layer.
Sources checked
- attestiv.com/deepfake-video-detection-software/
- attestiv.com/helpie_faq/does-attestiv-offer-different-pricing-plans-for-differ
- www.linkedin.com/company/attestiv
- www.thecompanycheck.com/company/b/attestiv/p5abvpqlgm6yrg0al
We read the vendor's own pages for every price on this review and record the date we read them. Where a figure comes from a third party we say so. Method: review methodology.