Solutions/AI Content Auth

AI Content Authentication

If you build generative AI, you own the provenance problem. Authenticate every output, track model attribution, and ship responsible AI compliance—without slowing your inference pipeline.

API: v3.PROVENANCE
C2PA v2.0 READY
WATERMARK ENCODE/DECODE

Authentication & Provenance Modules

QUERY: SELECT * FROM content_auth
AIC-PRV-01
AUTH MODULE

Output Provenance Tracking

Embed cryptographic provenance records into every image your model generates. Trace any output back to the specific model version, prompt hash, and generation timestamp—even after redistribution.

PROVENANCE CHAINPROMPT HASHINGREDISTRIBUTION TRACKING
AIC-ATR-02
AUTH MODULE

Model Attribution

Determine which generative model produced an image—yours or a competitor's. Identify outputs from DALL-E, Midjourney, Stable Diffusion, Flux, and custom fine-tuned checkpoints with high confidence.

MODEL FINGERPRINTINGCHECKPOINT IDCOMPETITIVE INTEL
AIC-WMK-03
AUTH MODULE

Watermark Detection

Detect, verify, and decode invisible watermarks across all major schemes including SynthID, Stable Signature, and Tree-Ring. Confirm whether content carries your watermark or has been stripped.

SYNTHIDSTABLE SIGNATUREWATERMARK STRIPPING
AIC-C2P-04
AUTH MODULE

Content Credentials (C2PA)

Issue and validate Coalition for Content Provenance and Authenticity manifests. Attach tamper-evident metadata that persists through social media compression, cropping, and format conversion.

C2PA MANIFESTTAMPER-EVIDENTCROSS-PLATFORM
AIC-TDV-05
AUTH MODULE

Training Data Verification

Audit your training datasets for undisclosed synthetic content. Detect when scraped data contains AI-generated images that could introduce distribution shift or licensing liability into your models.

DATASET AUDITDISTRIBUTION SHIFTLICENSE COMPLIANCE
AIC-RAI-06
AUTH MODULE

Responsible AI Compliance

Generate compliance artifacts for the EU AI Act, NIST AI RMF, and industry self-regulation frameworks. Automate disclosure reporting for synthetic content outputs at scale.

EU AI ACTNIST AI RMFDISCLOSURE AUTOMATION
PROVENANCE ENGINE

Prove What Your Model Created

Regulators, platforms, and users are demanding proof of origin for AI-generated content. Retroactively labeling outputs is fragile. Sightova embeds provenance at the generation layer—cryptographically signed, compression-resistant, and verifiable by any third party.

  • Embed C2PA manifests inline with zero measurable impact on inference latency.
  • Detect and decode watermarks surviving JPEG compression, resizing, and screenshot capture.
  • Automated EU AI Act disclosure artifacts generated per-output for compliance archives.
SIGHTOVA CONTENT AUTH ENGINE

POST /v3/provenance/authenticate


{
  "trace_id": "prv_c91f4e28a706",
  "origin": "verified_synthetic",
  "model_attribution": {
    "family": "DALL-E_3",
    "confidence": 0.9654,
    "checkpoint": "prod-2026-03"
  },
  "watermark": {
    "scheme": "SynthID",
    "intact": true,
    "decode_confidence": 0.9912
  },
  "c2pa_manifest": "signed_valid",
  "eu_ai_act_disclosure": true
}

[OK] Provenance verified. C2PA manifest attached.

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Authenticate Your AI Outputs

Ship provenance-ready generative AI. Embed content credentials, detect watermarks, and automate compliance—all through a single inference-time API call.

Integrate Provenance API View All Solutions