Top Deepfake Detection Tools for Insurance in 2026

Insurers shopping for deepfake detection in 2026 have more choice than they did a year ago. General-purpose deepfake detectors have added insurance use cases. Established claims-fraud platforms have added media modules. A few vendors built their products around claims files from the start.

This article maps the tools insurers most often evaluate and what each vendor publicly documents. It is a landscape, not a ranking.

Disclosure: deetech™ is our product. We list it first because it is ours, not because we scored it. Every competitor fact below comes from the vendor’s own website, press releases, or independent reporting, checked in September 2026. Vendors change quickly, so verify anything that matters to your decision directly with them.

What Insurers Should Compare

An insurer needs more than a detector that flags deepfakes. It needs a tool that fits how claims actually move:

Media coverage. Does it handle the photos, documents, audio, and video your claims actually contain?
Claims fit. Does it work around claims files and SIU review, or is it a general-purpose scanner?
Integration. Does it offer an API, webhooks, or a documented connector for your claims platform?
Evidence output. Does it produce reports that an investigator or expert can review and cite?
Performance on your media. Will the vendor test on a sample of your own claims media rather than quote a benchmark?
Pricing model. Can you afford to screen every claim, or only the ones you escalate?

deetech™ — Insurer-First Media Authentication

deetech™ is built around claims workflows. Its insurer product at deetech.ai includes an insurance case workspace, document analysis, forensic reports for SIU review, and API access. It shares one media-authenticity platform with our general product at dee.tech and our audio product at deetech.au.

Media coverage. Image deepfake detection, document manipulation analysis, and uploaded audio and video detection. Document analysis runs structural, arithmetic, and fabrication checks, edit-history analysis, confidence-gated OCR, and pixel forensics on supported scans. Supporting checks include configured forensic signals, C2PA content-credential verification, metadata analysis, and reverse image search through configured providers. Findings are review inputs for your team, not identity decisions or automated claim outcomes.

Claims fit. The case workspace organizes evidence and analyses for an investigation. Reused-photo matching fingerprints every uploaded image and flags exact and near-duplicate copies that turn up again in another of the organization’s claims, and reverse image search checks for photos lifted from the web.

Integration. A REST API with scoped API keys and signed webhooks. A batch API takes up to 20 image, audio, or document files per request on standard plans and up to 100 on Enterprise. Your team connects these to Guidewire, Duck Creek, or an in-house claims system.

Live channels and deployment. Enterprise plans include live call detection and live meeting detection on Zoom, Microsoft Teams, and Google Meet. They also offer on-premises, air-gapped, and private deployment.

Evidence output. Forensic PDF reports document the results, the methods used, and their limitations, so qualified reviewers can examine and cite them. Tenant-scoped audit logging records supported actions.

Performance. Our audio model ranked #1 of 23 systems on the Podonos audio deepfake detection benchmark (studio track), with 99.56% accuracy. Benchmarks for image, video, and document detection are available under NDA, so ask us. We also recommend testing on a sample of your own claims media.

Pricing. Credit-based. The free Pilot plan includes 50 credits on signup, then 10 a month. Enterprise plans start at 100,000 credits a month on negotiated terms. A Scan costs 1 credit and a Deep Scan 2. Audio and video are charged per started minute.

Reality Defender

Reality Defender is a venture-backed deepfake detection company based in New York. It closed a US$33 million Series A in 2024 and added strategic investors including BNY and Samsung Next in 2025. As of June 2026, it describes itself as a “Market Shaper” in Gartner’s emerging-market view of deepfake detection.

Products: RealScan (browser-based file analysis), RealAPI (developer API with Python, TypeScript, Go, Rust, and Java SDKs), RealCall (live call detection), and RealMeeting (meeting detection).
Media coverage: image, audio, and video on its current RealScan and API pages.
Insurance: its solutions page lists an insurance use case: examining claim photos, video, and caller voices before servicing or settlement decisions.
Pricing (published): a free API tier (50 image or audio scans a month), a Business plan at US$399 a year for 1,000 scans a month, and custom Enterprise pricing that includes on-premises options.
Integration: API and SDKs. It does not publicly document a native claims-platform connector (as of September 2026).

For a detailed comparison, see deetech™ vs Reality Defender.

Sensity AI

Sensity AI is based in Amsterdam and was founded in 2018. It focuses on forensic analysis for law enforcement, government, and identity verification (KYC). In 2026, it closed a US$2.1 million round and was selected for €4.9 million in European Innovation Council funding.

Media coverage: video, image, and audio, plus KYC checks for face manipulation, AI-generated faces, and virtual-camera injection.
Evidence output: Sensity describes its reports as “court-ready” forensic reports with audit trails and metadata insights.
Performance claims (self-reported): 98% accuracy on public datasets. Sensity also says it saves about 35 minutes of manual review per case.
Deployment: web app, API, and SDK, in the cloud or on-premises. Its KYC page states ISO 27001 certification.
Insurance: Sensity has published insurance guidance, including image-authenticity checks on claim photos. Its main markets are forensic and identity work.
Pricing: not published.

See deetech™ vs Sensity AI for a full comparison.

Attestiv

Attestiv, based in Lehi, Utah, sells digital file validation to insurers, lenders, HR teams, and media organizations.

Media coverage: photos, PDFs, invoices, estimates, screenshots, video, and audio. It flags edits, generative-AI deepfakes, splicing, and document alterations.
Output: a 0–100 suspicion score, with configurable business rules.
2026 update: in July 2026 it launched DeepScan, which pairs detection with rules that check a file against the business workflow it arrived in.
Integration: APIs and SDKs. It is a Duck Creek solution partner, and its photo validation is available in Duck Creek’s Content Exchange.

Verisk Digital Media Forensics

Verisk Digital Media Forensics runs on ClaimSearch, the contributory claims database that many US insurers already use.

Capabilities: it finds duplicate images from prior ClaimSearch claims and flags images sourced from the internet. It also checks image metadata against claim details and analyzes images for alterations. Verisk has added alerts for AI-generated or manipulated images.
2026 update: on September 8, 2026, Verisk announced Fraud Discovery. The platform combines fraud intelligence, network analysis, digital media forensics, and case management, and analyzes images and documents for manipulation, alteration, and deepfakes.
Strength: cross-carrier data. A reused photo can match a claim filed at another insurer.

FRISS Media Check

FRISS is a trust and fraud-scoring platform for insurers. In January 2026, it acquired the SIU case-management vendor Polonious.

Media Check: detects manipulated, reused, and AI-generated images and PDFs in claims media. It supports JPG, PNG, GIF, TIFF, BMP, and PDF files.
Integration: FRISS lists integrations with Guidewire, Duck Creek, and Sapiens, and with data providers such as Verisk.

See deetech™ and FRISS for how a dedicated media layer and a fraud-scoring platform fit together.

Truepic Vision

Truepic takes a provenance-first approach. Truepic Vision authenticates photos and videos at the moment of capture, then applies AI analysis for virtual inspections in insurance, auto warranty, and lending. Truepic is a founding member of the C2PA content-credentials standard.

Best fit: inspections where the insurer controls the capture app. It is less suited to media that arrives already captured, such as email attachments or photos from a claimant’s own camera roll.

Shift Technology: A Complement

Shift Technology is a claims fraud platform, not a deepfake detector. It scores claims, entities, and networks. It has also published work on media: a case study of reused-photo detection with image-similarity scoring, and research on detecting AI-generated images.

Many insurers will run a fraud-scoring platform like Shift or FRISS alongside a dedicated media-authentication layer. The Shift Technology comparison explains how the two fit together.

Research-Era Tools: Worth Knowing, Not Buying

Two early tools still appear in deepfake detection lists. Neither is a practical option for claims:

Microsoft Video Authenticator was announced in 2020 as part of Microsoft’s Defending Democracy Program. It gave a confidence score for photos and video, but only organizations in the AI Foundation’s Reality Defender 2020 program could use it. In 2023, a Microsoft moderator said it had not been made generally available. Microsoft’s current effort centers on Content Integrity tools built on Content Credentials.
Intel FakeCatcher was announced in November 2022. It analyzes subtle blood-flow signals in video of faces, and Intel claims 96% accuracy. It does not cover photos without faces, documents, or audio. When the BBC tested it in 2023, it several times flagged real videos as fake. Intel does not publicly document current commercial availability or pricing (as of September 2026).

Publicly Documented Capabilities at a Glance

Vendor	Insurance focus	Media covered (as documented)	Integration route	Public pricing
deetech™ (ours)	Insurer-first product at deetech.ai	Image, document, audio, video	REST API + webhooks; batch API	Free Pilot; Enterprise from 100,000 credits/month
Reality Defender	Insurance listed as a use case	Image, audio, video	API + SDKs	Free tier; Business US$399/year; Enterprise custom
Sensity AI	Forensic and KYC focus; insurance guidance published	Video, image, audio	Web app, API, SDK	Not published
Attestiv	Insurance a core market	Photos, documents, video, audio	API, SDK; Duck Creek partner	Not published
Verisk DMF	Built for insurers	Images, documents	Runs on ClaimSearch	Not published
FRISS Media Check	Built for insurers	Images, PDFs	Guidewire, Duck Creek, Sapiens	Not published
Truepic Vision	Insurance inspections	Photos, video (captured in-app)	Capture SDK and platform	Not published

How We Built This List

Sources: vendor websites, product pages, press releases, and independent reporting, all checked in September 2026.
Scope: tools that analyze claims media, or that insurers commonly ask about.
No scores: we don’t score competitors, and we don’t rank ourselves. A vendor comparison written by a vendor should give you facts to check, not a verdict.

Choosing the Right Tool

Test on your own media. Benchmark accuracy on clean datasets doesn’t predict performance on compressed claims photos. Run a proof of concept on a representative sample.
Map the media you actually receive. If your claims include documents and recorded statements, a photo-only tool leaves gaps.
Check the integration path. Ask whether the vendor offers a documented connector for your claims platform or an API and webhooks your team will build on, and budget for the difference.
Read a sample report. If a finding leads to a claim denial, the report has to hold up to review by your experts and counsel.
Model the cost of screening every claim. Per-claim or credit-based pricing at claims volumes looks very different from per-investigation forensic pricing.

For a framework to compare categories of tools, see Deepfake Detection Tools Compared. For a buyer’s checklist that covers traditional fraud analytics too, see Insurance Fraud Detection Software. The deepfake detection FAQ for insurance companies covers questions that come up during evaluation. The board-level briefing on generative AI fraud gives executive context.

For insurers and claims teams that want to see deetech™ on their own claims media, request a demo.