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Imagen Network (IMAGE) Implements Secure Vision Interpreter to Enhance Multimodal Asset Validation

New Secure Vision Interpreter strengthens asset integrity and trust in Web3-native multimodal creation workflows.

Singapore, SG – November 27, 2025 – Imagen Network (IMAGE), the AI-powered decentralized visual generation platform, has introduced its Secure Vision Interpreter—a new protective intelligence layer designed to validate, analyze, and authenticate multimodal assets across Web3 environments. This advanced interpreter allows creators and decentralized applications to verify asset consistency, detect manipulations, and ensure trust in visual and hybrid content generated on-chain.

The Secure Vision Interpreter leverages next-generation multimodal analysis, pattern detection, and model-grounded visual reasoning to inspect scenes, compositions, and digital structures with exceptional precision. By evaluating contextual fit, stylistic alignment, and content integrity, the system ensures that assets uploaded, minted, or distributed within the network meet strict authenticity and coherence standards. This capability strengthens reliability across use cases such as NFT minting, AI-generated scenes, decentralized publishing, and cross-chain creative workflows.

With its introduction, Imagen Network enhances its position as a secure, creator-first platform integrating AI-driven generation with blockchain-backed validation. “Security and creativity must evolve together in the Web3 era,” said J. King Kasr, Chief Scientist at KaJ Labs. “The Secure Vision Interpreter adds a crucial layer of intelligence that protects creators, ensures asset integrity, and elevates trust in multimodal content creation.”

About Imagen Network (IMAGE)

Imagen Network (IMAGE) is a decentralized AI-powered visual creation platform that enables creators to generate, validate, and distribute multimodal assets across Web3 ecosystems. Through advanced AI tooling and blockchain-backed ownership, the network supports secure, scalable, and creator-controlled digital production.

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