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Scam AI vs Hive
Hive is a content-moderation platform with a serious deepfake-detection line — credible enough to win a U.S. Department of Defense contract. But its core is moderation at scale; Scam AI is fraud-first, built to protect identity and stop scams, and runs on-device where Hive is a cloud API.
- Built for fraud & identity, not general moderation
- On-device Halo — Hive is cloud/server-side
- Document-forgery & liveness for KYC flows
At a glance
| Capability | Scam AI | Hive |
|---|---|---|
| Multimodal detection (face, document, video) | Yes — one engine | Yes — moderation (image, video, audio, text) |
| On-device, real-time on live calls | Yes — Halo | Cloud |
| Document-forgery & liveness for identity flows | Yes, built in | Partial — doc-fraud + liveness |
| Explainable, evidence-backed results | Yes | Yes — attribution + boxes |
| Cloud + on-prem / VPC deployment | Yes | Cloud, on-prem (enterprise/gov) |
| Purpose-built for fraud & identity | Yes | No — moderation-first |
Comparison reflects Scam AI's assessment; verify current capabilities with each vendor.
Hive at a glance
Hive offers content moderation and AI-generated-content detection via API across image, video, audio, and text — widely used for platform moderation, with a dedicated deepfake model (generator attribution, per-face boxes) and an on-prem deployment credible enough to win a U.S. Department of Defense contract.
Where Scam AI differs
Hive does flag identity-document fraud and offers liveness — but as moderation features, not a fraud stack. Scam AI is built for fraud and identity: real-attack-trained detection across face and documents, document-forgery and liveness that drop into onboarding, and on-device meeting protection with Halo that a cloud API can't match.
Purpose-built for the attack
Hive even scans live calls in real time — but in the cloud, tuned to moderation. Scam AI is tuned to the specific plays scammers run — impersonation, forged documents, live deepfakes — and runs on-device. Already using Hive? Scam AI drops in beside it as the fraud and identity layer.
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