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Reality Defender
New York company founded in 2021 that detects deepfake voices, video, and images in live calls, meetings, and uploaded files for banks, governments, and other enterprises.
Banks, contact centers, and government agencies that need real-time deepfake checks on calls, meetings, and identity workflows.
Small companies with low deepfake risk, or buyers who want a published price list.
Verdict
Reality Defender is a New York company that detects AI-generated voices, faces, and images in live calls, meetings, and files. It suits banks, contact centers, and public agencies that must stop impersonation before it leads to fraud. Its focus on live calls targets voice cloning, a fast-growing fraud risk for banks and contact centers.
Score Breakdown
How Reality Defender scores in the categories that matter to its buyers.
Pricing
Reality Defender does not publish enterprise prices. Its developer API includes free monthly scans, and larger deployments are quoted.
Reality Defender sells real-time detection for calls, meetings, and files to enterprises and governments, with deployment tailored to each environment.
The Field at a Glance
How Reality Defender compares with other deepfake detection vendors we reviewed, by Overall Score and relative typical engagement cost.
Reality Defender scores 8.1 in deepfake detection, ahead of GetReal Security (7.6). Relative cost lands upper for this subcategory.
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| Live call and meeting detection | Strong | Analyzes voice and video as conversations happen. |
| Multiple media types | Strong | Covers audio, video, and images. |
| Developer API | Strong | Free monthly scans for testing. |
| Industry recognition | Strong | Named Most Innovative at the 2024 RSA Innovation Sandbox. |
| Published enterprise prices | Weak | Enterprise deals are quoted. |
| Fit for small teams | Mixed | Built for high-risk enterprise channels. |
Who it’s for
Good fit
- Banks and fintechs
- Contact centers
- Government agencies
Poor fit
- Small businesses with low fraud risk
- Buyers wanting list prices
- Teams needing only image checks
Review Excerpts
Below are excerpts from public reviews. Our team scoured public reviews, forums, and chat rooms to get a balanced view of customers' experience with this company. Paid reviews and pay-for-play sites such as Clutch were excluded.
Reality Defender says its detection runs across live calls, meetings, access workflows, and executive communications, with results fed into the systems customers already run.
Reality Defender's platform was named Most Innovative at the 2024 RSA Conference Innovation Sandbox, and BNY, Samsung Next, and Fusion Fund later invested in the company.
Reality Defender lists no enterprise prices, so buyers comparing it with other deepfake detection vendors need a sales conversation to see costs.
Company Facts
- Founded
- 2021 (Y Combinator)
- Headquarters
- New York City (Y Combinator)
- Accelerator
- Y Combinator, Winter 2022 batch (Y Combinator)
- Team size
- 54 (Y Combinator)
- Strategic investors
- BNY, Samsung Next, and Fusion Fund, 2025 (Reality Defender)
- Recognition
- Most Innovative, RSA Conference Innovation Sandbox 2024 (Reality Defender)
- Website
- realitydefender.com
Key Leadership
Ben Colman
Co-founder and CEO
Methodology
This page is an independent evaluation of Reality Defender for buyers comparing options in deepfake detection. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Reality Defender did not pay for this review.
What we scored
The headline number is an Overall Score on a 0-10 scale. Eight criteria sit under it in two groups.
- Buyer outcomes (for deepfake detection)
- Real-time detection
- Coverage across voice, video, and images
- Developer access
- Price visibility
- Company & commercial
- Innovation & product leadership
- Project management & communication
- Pricing
- Contract fairness
Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.
Score Composition
| Input | Weight | What it covers |
|---|---|---|
| Reviews | 40% | A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites such as Clutch are out of scope. |
| Product | 35% | Hands-on look at screens and workflows. |
| Pricing | 15% | Whether the price looks fair for what you get. |
| Docs & training | 10% | Docs, tutorials, and training material. |
How we balanced the evidence
The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the fit pattern described above.
Scope
Reality Defender is graded here as deepfake detection. Criteria scores can move as more review volume and product checks are added.