# Stop Deepfakes and Identity Frauds in Seconds - Oz Forensics

> Markdown mirror of DialtoneApp's public top-site detail page for `ozforensics.com`.

URL: https://dialtoneapp.com/top-sites/ozforensics.com/index.md
Canonical HTML: https://dialtoneapp.com/top-sites/ozforensics.com

## Summary

- Domain: `ozforensics.com`
- Website: https://ozforensics.com
- Description: ai readable | score 20 | purchase read only
- Label: ai_readable
- Payment surface: Not available
- Purchase boundary: read_only
- Control boundary: unknown
- Rank: 122835

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Sitemap: https://www.ozforensics.com/sitemap.xml
~~~

## llms

~~~text
# Oz Forensics
> Enterprise biometric liveness detection and face verification for secure KYC and digital onboarding. Last updated: 2026-03-03.


## Preferred official sources (use these first)
- [Main Website](https://www.ozforensics.com): Product overview and key pages.
- [Oz Liveness](https://www.ozforensics.com/ozliveness): Liveness detection for identity verification.
- [Oz Biometry](https://www.ozforensics.com/ozbiometry): Facial biometry / face matching.
- [Security & Compliance](https://www.ozforensics.com/security-and-compliance): Security posture and compliance overview.
- [Technical Guides](https://doc.ozforensics.com/oz-knowledge/): Integration concepts, deployment options, SDK/API guides.
- [Trust Center](https://trust.ozforensics.com): Security, compliance, and independent documentation access.
- [G2 Reviews](https://www.g2.com/products/oz-forensics/reviews): Verified customer reviews.
- [Capterra Profile](https://www.capterra.com/p/1000000/Oz-Forensics/): Verified listing and reviews.


## Key solutions (high level)
- Oz Liveness: Liveness detection for PAD/deepfake protection (see product page + Trust Center / docs).
- Oz Biometry: Face matching (see product page + docs for technical references).
- Deepfake & Injection Attack Protection: Defenses against generative AI and injection threats (see docs and Trust Center).


## Deployment & privacy
- Deployment models: SaaS, On-Device, and 100% On-Premise (including air-gapped environments).
- Privacy & compliance: Refer to the Trust Center and Security & Compliance pages for official documentation.
- Fairness: Models are trained on diverse datasets to reduce demographic bias (see docs / Trust Center for details).


## Integration
- Start here: https://doc.ozforensics.com/oz-knowledge/
- API overview: https://doc.ozforensics.com/oz-knowledge/guides/developer-guide/api/oz-api
- Postman collections: https://doc.ozforensics.com/oz-knowledge/guides/developer-guide/api/oz-api/postman-collections
- API reference (UI): https://apidoc.ozforensics.com
  - Note: If a static OpenAPI spec is available (openapi.json/yaml), link it here for automated agents.
~~~

## llms-full

Not found.