Skip to main content
The Dataspike Deepfake Detection system safeguards high-trust workflows by identifying AI-generated and manipulated media across images, documents/IDs, videos, and audio.
It’s built for identity verification, KYC/AML, and digital onboarding where authenticity and compliance are critical.

​
What it is

Dataspike combines neural network ensembles, forensic signal analysis, and AI signature tracing to detect:
  • Selfie & liveness manipulation (face swaps, morphing, compositing)
  • Fake or tampered documents/IDs (edited fields, forged MRZ/barcodes, altered holograms/laminates, reprint/recapture)
  • Video deepfakes (synthetic face swaps, recomposed scenes)
  • Audio deepfakes (AI-generated/cloned voices, splice & resynthesis artifacts)
Models are continuously updated to keep pace with new generators (e.g., Veo, Sana, Flux) and emerging attack patterns.

​
Why it’s powerful

  • Multi-modal analysis — Supports evaluation of images, identity documents, video, and audio files.
  • Robust detection models — Designed to operate reliably across varied resolutions, compression levels, and device types.
  • Data-minimization approach — Media is processed transiently and not stored after analysis.
  • Structured output — Each analysis produces a consistent response schema with scores and indicators suitable for automation.
  • Flexible deployment — Available through public API, private cloud, or on-premise environments.

​
Why it’s fast

  • Optimized inference pipeline — Uses asynchronous processing and batched GPU workloads to maintain high throughput.
  • Adaptive frame selection — For video streams, only key frames are analyzed to balance accuracy and latency.
  • Lightweight result delivery — Responses include compact, pre-aggregated indicators for real-time handling.
  • Edge and mobile support — Inference components can run locally for latency-sensitive

​
Ecosystem & Tools

  • 📱 Mobile SDK (Android) — Provides on-device video analysis without requiring API calls.
    Ideal for mobile verification or offline scenarios where low latency is critical.
  • 🎥 LiveKit Integration — Enables real-time deepfake detection in live video sessions.
    The integration performs adaptive frame sampling and analysis directly within LiveKit rooms, providing detection results with minimal latency and no persistent storage.

​
Summary

Dataspike provides real-time authenticity intelligence for selfies, documents/IDs, video, and audio, helping you block synthetic identities, detect voice clones, and catch forged documents — without sacrificing performance or privacy.