Deepfake detection companies, products & suppliers

Detecting synthetic or manipulated media of people or events. Jobs: media authenticity checks; call-centre deepfake alerts; broadcast verification.

What is Deepfake detection?

Detecting synthetic or manipulated media of people or events. Jobs: media authenticity checks; call-centre deepfake alerts; broadcast verification.

What problems does it solve?

Audio and video can impersonate staff and customers.

Typical business use cases

  • Media authenticity checks
  • Call-centre deepfake alerts
  • Broadcast verification

Important capabilities

  • Detectors
  • Media types
  • Scores

What buyers should evaluate

  • Error rates
  • Latency
  • Whether it claims forensic certainty

Risks and governance considerations

A detector treated as courtroom proof.

Procurement checklist

  • Intended use
  • Error rates
  • Human review

Relevant AI Trustmark assurance

AI Trustmark independent findings appear only when an assessment or certificate exists. Category membership does not imply verification.

Methodology · How verification works

Products and providers

Open a product profile for its catalogue details, or use the provider link for the company profile. Claimed listings appear first, then by name. Payment never changes the order.

  • By DeepMedia

    Deep Media provides polyagentic analysis of surface, deep, and dark web sources to help organizations and individuals protect their users, likenesses, and reputations from digital

  • By DuckDuckGoose

    DuckDuckGoose provides forensic deepfake detection for images and video. Used by leading platforms for fraud prevention, identity security, and compliance workflows. Sub-second res

  • By GetReal Security

    GetReal’s deepfake detection software gives enterprises real-time deepfake protection across video calls, voice, and hiring. Detect deepfakes and stop impersonation fraud. Book a d

  • By Hive

    Hive's APIs enable developers to integrate pre-trained AI models that address technically challenging content understanding needs into their applications. Hive Deepfake Detect

  • By Hiya

    Hiya delivers AI-native voice security and branded caller ID for operators, businesses, and people — blocking spam, scams, and deepfakes at network scale. Hiya Deepfake Voice Detec

  • By iProov

    iProov Dynamic Liveness is iProov's software product, from iProov Limited. Published at iproov.com/products/dynamic-liveness. Directory filing: Biometrics. Deployment options: API

  • By Pindrop

    Pindrop is the enterprise deepfake detection and identity verification platform. Independently validated at 99% accuracy and proven across 5 billion real-world interactions. Pindro

  • By Reality Defender

    Reality Defender's robust deepfake detection helps enterprises, platforms, and institutions stop deepfakes before they become a problem. Reality Defender is Reality Defender's

  • By Resemble AI

    Resemble AI powers real-time deepfake detection for enterprise. Verify media and satisfy AI content compliance standards. On-prem or cloud, built to scale. Resemble Detect is Resem

  • By Sensity

    Sensity AI Deepfake Detection is Sensity's software product, from Sensity B.V. Published at sensity.ai/deepfake-detection-for-video-image-audio. Directory filing: Deepfake detectio

  • By Truepic

    Truepic authenticates inspection photos and videos at capture, surfaces structured insights, and helps businesses reduce risk and act with confidence. Truepic Vision is Truepic's s

Products

Claimed products appear first. Ranking packs and payment do not change this list.

Also used in this category

These products have a different primary category so they do not compete for the same ranking queries. They are listed here because buyers still encounter them in this job.

Related categories

Relevant procurement and assurance guides

Frequently asked questions

What is Deepfake detection?

Detecting synthetic or manipulated media of people or events. Jobs: media authenticity checks; call-centre deepfake alerts; broadcast verification.

What should not be listed as Deepfake detection?

Products whose buyer job is AI-content detection of text, provenance watermarking, or biometrics. Those belong on their own category page so search queries are not split.

Has AI Trustmark independently assessed every Deepfake detection supplier?

No. A category listing is descriptive. Independent assessment is shown only on company or product pages that carry Trustmark evidence.

What model or provider changes should a buyer insist on being told about?

Material change usually includes a new model family, new region, new subprocessor, new write-capable tool, or a change that affects logging, privacy or human oversight. Those changes should trigger evidence refresh rather than a silent release.

How should buyers verify where AI customer data is processed?

Ask for the named processing locations, cloud regions and any subprocessors that see prompts, files or outputs. A directory listing is not evidence of residency. Independent assessment records the locations that were in scope on the assessment date.

Does a TrustMark on one product cover the rest of the company?

No. Independent assessment is scoped to the named organisation and, where relevant, the named product. Category pages list suppliers as a topic label. They do not imply that every listed company has been assessed.

What incident-handling evidence is useful for AI suppliers?

Buyers should see how AI-specific failures are detected, contained and notified — including unsafe outputs, data leakage and unauthorised agent actions. An incident policy that never mentions models, prompts or tools is incomplete for this class of product.

What security testing evidence should buyers request for an AI product?

Ask what was tested, against which version, whether prompt-injection, data-exfiltration and tenant isolation were in scope, and where failed prompts were stored. A generic ISO certificate or a vendor scanner screenshot is not by itself an AI TrustMark assessment.