deetech™ vs Reality Defender: Deepfake Detection for Insurers
How deetech™ and Reality Defender compare for insurance claims: evidence types, document checks, reports, case workflow, deployment and pricing.
Insurance carriers evaluating deepfake detection will almost certainly look at both deetech™ and Reality Defender. Both detect AI-generated and manipulated media. Both serve enterprise buyers. Both now talk about insurance.
The difference is where each product starts. Reality Defender is a broad enterprise platform, built across financial services, government, media and other sectors. deetech™ is insurer-first: its workflow is built around claims, with a case workspace, document analysis, forensic reports and SIU review.
This article sets out how the two compare for a claims operation.
Reality Defender at a Glance
Reality Defender was founded in 2021 and is based in New York. It expanded its Series A to US$33 million in October 2024, led by Illuminate Financial (PR Newswire). BNY, Samsung Next and Fusion Fund followed with strategic investments in April 2025, and KPMG LLP took a minority stake in September 2026. Gartner named the company a Market Shaper in deepfake detection in June 2026.
Its product family includes RealScan (browser-based file review), RealAPI (programmatic analysis), RealCall (live calls) and RealMeeting (video meetings), covering audio, video and images. Its solutions page lists financial services, government, insurance and healthcare payers, and describes examining claim photos, video and caller voices before servicing or settlement decisions.
Reality Defender is a capable, well-funded detection platform with broad cross-industry reach. For an insurer, the question is how much of the claims workflow sits around the detection engine.
deetech™: Built Around Claims Workflows
deetech™ starts from the claims file, not from the detector. The product is organized around the evidence a claims team actually receives and the people who review it.
Every evidence type in a claim
- Photos. Analysis for synthetic or manipulated-media indicators, with configured forensic signals that show investigators what drove a result.
- Documents. Deterministic structural, arithmetic and fabrication checks, edit-history analysis, confidence-gated OCR, and pixel forensics on supported scans. These look for manipulation in repair quotes, invoices, receipts and certificates. They do not verify identity.
- Audio. Uploaded-audio analysis for synthetic speech in recorded statements and voice notes, ranked #1 on the Podonos audio deepfake benchmark (details below).
- Video. Uploaded-video analysis for dashcam, CCTV and property walkthrough footage.
Evidence context
- C2PA content-credential verification reports whether a file carries valid credentials. Missing credentials are treated as unknown, not as proof of a fake.
- Reused-photo matching. Every uploaded image is fingerprinted and matched against your organization’s earlier submissions, flagging exact and near-duplicate copies (resized, re-compressed or lightly edited) that turn up again in another claim. Reverse image search through configured providers then checks for photos lifted from the web.
- Source attribution on Deep Scan organizes available provenance, metadata and detector evidence into advisory candidates.
Investigation workflow
- Case workspace. Investigators organize evidence and analyses for a claim in one place.
- Forensic PDF reports. Plain-language findings, methodology and limitations, written for SIU investigators and retained experts.
- Human review by design. Every output is a review input for a qualified person; deetech™ supports adjuster and SIU decisions rather than making them.
Enterprise options
- Live call detection, and live meeting detection on Zoom, Microsoft Teams and Google Meet, for claims interviews and video inspections.
- On-premises, air-gapped and private deployment for carriers with strict data-governance requirements.
Head-to-Head for a Claims Operation
Evidence Coverage
Claims evidence is more than faces and voices. It is damage photos, dashcam clips, repair quotes, invoices and recorded statements, and much of it arrives compressed, re-saved or stripped of metadata by messaging apps and email.
deetech™ analyzes images, documents, audio and video in one product and API. Reality Defender’s RealScan covers images, audio and video; it does not publicly document PDF or invoice forensics (as of September 2026). For claims teams, document tampering is a large share of the problem, so this is worth testing directly.
Accuracy
Both vendors describe multi-signal detection, and published benchmark numbers rarely transfer directly to claims media.
For audio there is one independent, like-for-like result. On Podonos’s independent audio deepfake benchmark (September 2026, 23 systems, 4,524 clips scored against labels only Podonos holds), deetech™ ranked #1 at 99.56% accuracy; Reality Defender scored 71.27%, with 17.2% of clips returned without a verdict. See how deetech™ ranked first on the Podonos benchmark.
For image, video and document performance, deetech™ benchmarks are available under NDA. The fairest comparison is a proof-of-concept evaluation of both products on a representative, lawfully handled sample of your own claims media.
Integration and Workflow
| Capability | deetech™ |
|---|---|
| REST API and signed webhooks | Yes |
| Batch API | Up to 20 image, audio or document files per request on standard plans, up to 100 on Enterprise |
| Case workspace for claims evidence | Yes |
| Document manipulation analysis | Yes: structural, arithmetic and fabrication checks, edit-history analysis, confidence-gated OCR, pixel forensics on supported scans |
| C2PA content-credential verification | Yes |
| Forensic PDF reports for qualified review | Yes |
| Live call and meeting detection | Enterprise plans (Zoom, Microsoft Teams, Google Meet) |
| On-premises / air-gapped deployment | Enterprise plans |
deetech™ connects to claims platforms through its REST API and webhooks; your team or implementation partner places results in the claims or SIU system you already use.
Speed
Images often return in seconds. Video, large documents and deeper analyses run asynchronously and can take minutes, with webhooks notifying your system when results are ready. Video is submitted individually rather than in batch.
For catastrophe events, plan capacity with us in advance: surge volumes need a customer-specific capacity and cost plan.
Reporting
deetech™ reports are written for the people who act on them: plain-language findings for claims staff, and methodology and limitations for the experts who assess them. Reports document available findings for investigators and experts. They support qualified review but do not guarantee regulatory alignment, evidentiary reliability or legal admissibility.
Pricing
deetech™ uses credits. The free Pilot plan includes 50 credits on signup and 10 per month after that. Enterprise plans start at 100,000 credits a month and are negotiated. A Scan uses 1 credit and a Deep Scan uses 2, with audio and video charged per started minute.
When deetech™ Is the Better Fit
deetech™ is the stronger choice for insurers that:
- Want one product for photos, documents, audio and video in claims
- Need document manipulation checks on quotes, invoices and certificates
- Want a case workspace and forensic reports built for SIU and expert review
- Want to start free on the Pilot plan and scale on credits
- Need live claims-call or video-inspection coverage, or on-premises deployment, on an Enterprise plan
Using Both
Some large carriers run a broad enterprise platform for corporate use cases, such as executive impersonation, hiring and communications security, and a claims-focused product for claims operations. That is a reasonable architecture. For most insurers, though, claims is where the financial exposure concentrates, and the state of deepfake fraud in insurance shows why that exposure is growing.
Making the Decision
For insurance carriers, the question isn’t only “which detector scores best on a benchmark?” It is “which product fits how our claims team works: the evidence we receive, the documents we check, the reports our investigators need, and the review process we already run?”
The deepfake detection FAQ for insurance covers the questions carriers ask most often. For a wider market view, see our top deepfake detection tools for insurance in 2026.
To see how deetech™ helps insurers and claims teams verify the media behind every claim, visit our solutions page or request a demo.