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S. Grandhi

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#artificial intelligence Review Sep 2026

Compositional Policy Violations: When Step-Level Compliance Fails In Agentic AI Workflows

Agentic workflows now make consequential decisions in regulated settings, and the governance placed around them is almost entirely step-scoped: input-output classifiers, per turn rails, and span-level evaluators. The policies organizations actually hold, such as referral thresholds, authority limits, and review require...

Ashwini Kurady, S. Grandhi, R. Gupta et al. · 0 citations
#graph neural networks Open access Sep 2026

Graph-Aware and Sequence-Aware Multimodal Deep Learning Framework for Cancer Detection and Risk Analysis from Medical Imaging

Early and accurate cancer detection from medical imaging remains challenging because clinically relevant evidence is distributed across local image appearance, structural relationships between suspicious regions, and ordered imaging context. This study proposes a graph-aware and sequence-aware deep learning framework t...

Chetanpal Singh, S. Wibowo, S. Grandhi et al. · 0 citations

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