Solving the AI "Black Box" Problem at Scale Foundation AI, especially deep-learning neural networks, operates as a "black box" which makes it difficult for organizations to fully understand, correct, or attribute AI model behavior.Authentrics.ai MRI, a patent-pending AI resilience solution, changes that paradigm by allowing teams to: Directly measure AI model health in near real-timePerform precise result attribution to training datasets and model versionsModify or correct past training effects without costly full retrainingConduct sensitivity analysis and meta-tuning to optimize model performance By integrating directly into existing AI/ML pipelines, MRI provides a continuous trust layer, enabling businesses to diagnose, validate, and course-correct AI models before costly errors or compliance risks arise.
Google Cloud's scale and security make it the ideal platform for this next-generation AI resilience solution.” Derrick will be available for discussions throughout Google Cloud Next to explore how enterprises can strengthen AI accountability, increase ROI, and ensure compliance in an era of rapidly evolving AI regulations.Authentrics.ai will also be participating in the 2025 Google Startups Innovate Program.
LAS VEGAS, April 09, 2025 (GLOBE NEWSWIRE) -- Today Authentrics.ai, an innovator in frontier AI trust and reliability, announced the launch of its Machine-Learning Resilience Infrastructure (MRI) software for the Google Cloud Platform.
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