Attestiv Fake Image Detector vs Polygraf AI Data Provenance: Side-by-Side Comparison (2026)

Attestiv Fake Image Detector

Security and communications teams handling user-generated content or supply chain imagery will get the most from Attestiv Fake Image Detector because it catches both AI-generated and manually manipulated images in real time, blocking deepfakes before they circulate internally or externally. The tool maps directly to NIST DE.AE (Adverse Event Analysis), meaning it spots the anomaly itself rather than just flagging suspicious metadata. Skip this if your use case is isolated identity verification or liveness detection; Attestiv is built for volume screening across image libraries, not single-frame authentication.

Polygraf AI Data Provenance

Mid-market and enterprise security teams handling high-volume content risk,marketing, communications, legal review,should evaluate Polygraf AI Data Provenance for its source tracing capability, which catches synthetic or manipulated files before they circulate internally. The 98%+ fraud detection accuracy and real-time visibility into modified content address the DE.CM and DE.AE functions that most organizations still handle manually. Skip this if your deepfake risk is theoretical rather than operational, or if you need detection integrated with response automation; Polygraf focuses narrowly on identifying and authenticating content, not orchestrating downstream actions.