Recraft earns AIUC-1 certification for enterprise AI trust

Recraft is the first AI image generation company to earn AIUC-1 certification, an independent standard for testing AI behavior in production.

AI is growing up. What started as experimental tools are now moving into real production workflows where reliability and accountability aren't optional.

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It's not enough anymore for AI models to be powerful or fast. Enterprises need something more concrete: clear signals that the systems they're adopting are built, tested, and operated with security, safety, and accountability baked in from the start.

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Recraft just earned AIUC-1 certification, becoming the first AI image generation company to meet this emerging standard for enterprise AI assurance.

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This isn't a rubber stamp. It's an independent, technically rigorous evaluation of how AI systems actually behave in real-world conditions, including the messy, adversarial scenarios that surface when you're running production workflows.

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What AIUC-1 actually means

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The Artificial Intelligence Underwriting Company created AIUC-1 to provide something like a SOC-2 trust signal, but specifically for AI systems. Instead of just reviewing organizational processes and policy documents, it evaluates concrete AI implementations across the things that actually matter: security, safety, reliability, accountability, data and privacy practices, and broader societal risk.

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The certification process involves deep technical testing. Red-team exercises simulate misuse scenarios like prompt injection, data leakage, and other failure modes that surface when AI tools meet real users in production environments. The result is a clearer, pass-or-fail signal that enterprise buyers can use when they're deciding which AI tools to deploy at scale.

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For teams integrating AI into marketing pipelines, design systems, or customer-facing workflows, this level of scrutiny matters. It helps cut through uncertainty during security reviews, procurement discussions, and legal assessments, especially as AI capabilities become more autonomous and more widely embedded in how businesses operate.

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Why this timing matters

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Public discussion around AI risk has been shifting. Recent coverage has highlighted a growing gap between how quickly AI gets adopted and how slowly enforceable safeguards and accountability mechanisms develop. Enterprises increasingly find themselves caught in the middle, trying to balance competitive pressure with responsibility and risk management.

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AIUC-1 addresses this gap by treating AI behavior itself as something that can be tested, audited, and insured rather than just assumed. That framing aligns with how enterprises already think about risk in other critical systems. It's practical, not theoretical.

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How Recraft approaches this

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Recraft's mission has always been about expanding creative possibilities while giving users control over outcomes. That principle doesn't just apply to creative quality. It extends to how the underlying technology is built and governed.

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Earning AIUC-1 certification reflects a commitment to building professional-grade AI models that enterprises can trust in real workflows, not just in polished demos. As AI continues moving closer to the core of business operations, independent technical standards like AIUC-1 will play an increasingly important role in responsible deployment.

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For more information about the AIUC-1 standard, visit the Artificial Intelligence Underwriting Company at https://www.aiuc-1.com/.

Recraft earns AIUC-1 certification for enterprise AI trust

What AIUC-1 actually means

Why this timing matters

How Recraft approaches this

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