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Forensic watermarking to trace leaks and prove provenance
Updated
Steg.AI provides forensic watermarking technology for digital content security. It develops deep learning models for watermarking and poisoning, deployed through APIs, web applications and on-premises solutions.
Steg.AI embeds an imperceptible forensic watermark, or an obvious visible one, in each copy of an asset. If a copy leaks, the mark is decoded to trace the source. It runs as a REST API, a web app or at the edge, with integrations for drives, digital asset managers and creative software.
Media companies, brands and teams that share sensitive visual content. The vendor cites a $25 million average cost per leak or breach and lists recognition from SBIR, NSF I-Corps, C2PA and the NVIDIA Inception Program.
Steg.AI points to a pricing page, but tiers were not visible in the content reviewed. Check the vendor for current plans.
IMATAG pairs watermarking with web monitoring, while Landing AI, Clarifai and Viso Suite are general vision platforms. Steg.AI centers on deep learning watermarks.
Pricing Model
QUOTE BASED
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Compliance Standards
SOC 2 Type II
EnterpriseISO 27001
EnterpriseGDPR Compliant
GlobalHIPAA
HealthcarePCI DSS
FinanceCCPA
PrivacyFedRAMP
GovernmentCSA STAR
CloudDeployment & Data
Data Residency Options
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Full-stack AI platform for vision, models and compute orchestration
YOLO models and a platform for training and deploying vision AI
