Deepfake Detection & AI Impersonation Protection
Find Synthetic Media. Verify It. Remove It.

Deepfake detection is the process of identifying AI-generated or AI-manipulated video, audio, and images. Detection models analyze visual artifacts (blend seams, lighting inconsistencies, unnatural eye and mouth movement), audio cadence, and generation fingerprints to determine whether media is synthetic. Hunto AI pairs that analysis with monitoring, so deepfakes targeting your brand are found where they spread, not just verified when uploaded.

No detector is perfect — generation models improve constantly, so accuracy depends on recency and layered signals. Hunto AI combines multiple detection models (visual artifacts, audio analysis, metadata, distribution context) and routes sensitive cases to human analysts before enforcement, which keeps real-world precision high enough to act on.

Yes. Audio models analyze cadence, breathing patterns, spectral artifacts, and prosody to flag cloned voices — the vector behind CEO fraud calls and fake customer-support lines. Enrolled executive voice samples materially improve detection of targeted clones.

Detection alone doesn't reduce risk — removal does. Confirmed synthetic media flows into Hunto AI's automated takedown engine: evidence packaging, platform-specific abuse routing across 90+ channels, follow-up, and removal verification, the same workflow used for phishing site and impersonation takedowns.

Free detectors verify a file you already have. Brand protection requires the opposite: finding synthetic media you don't know exists, across social platforms, video sites, ads, and app stores — then removing it. Hunto AI does continuous discovery, verification, and enforcement in one workflow.

Any organization whose executives, brand, or customers can be monetized by impersonation: financial services and fintech (payment fraud), consumer brands (fake endorsements and product scams), crypto and investing (fake founder videos), healthcare, and public figures. If your CEO's face or voice appearing in a scam would cost you money or trust, you need monitoring.