Amr Abdelghani Ali

Head of AI and Research, WitnessAI

Amr Ali is Head of Machine Learning at WitnessAI, where he built the company’s ML team from the ground up and leads research on how enterprises observe and control AI models and agents at runtime. His work spans prompt analysis, model safety, and large-scale LLM deployment, and includes granted and pending patents in AI safety alongside peer-reviewed research, including a 2026 ACL paper on zero-shot named entity recognition. Before WitnessAI, Amr was a senior research engineer at SpreeAI, where his work on generative models for 3D face reconstruction produced three patents, and a founding member and Head of ML at Valify, where he built and shipped the state-of-the-art face anti-spoofing, biometric verification, and OCR systems behind Egypt’s first eKYC platform. He holds an MS in Computer Science with a machine learning specialization from Georgia Tech and has spent his career founding ML teams and shipping production AI systems.

Amr Abdelghani Ali
Agent Lane
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What the Hugging Face intrusion teaches about governing autonomous agents
REPORTS
Just Pass Twice: Efficient Token Classification with LLMs for Zero-ShotNER
Closing the Loop
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Closing the Loop: How WitnessAI Stops Reasoning-Leakage Jailbreaks at Every Phase
copilot
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It’s a Feature, Not a Bug: The Hidden Risks of Microsoft 365 Copilot and Open Data
before they resign they signal
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Before They Resign, They Signal: Detecting Insider Threats Through AI Conversations