Why Neuro-Symbolic AI is the Key to Auditable Fraud Detection

Neuro-Symbolic AI is bridging the gap between deep learning and auditable fraud detection. Learn how differentiable rule induction allows neural networks to discover human-readable IF-THEN rules from anonymized data, providing the interpretability required for regulatory compliance without sacrificing the predictive power of modern machine learning architectures.

Shadow AI Governance: Stop Fighting the Desire Paths

Shadow AI isn’t a bug; it’s a feature of modern work. Learn why fighting “desire paths” in your organization fails and how to build a Shadow AI Governance strategy that prioritizes visibility over suppression. Ahmad Wael explains why locking down tools is killing your productivity and how to build secure, governed alternatives.