Mukund Hirani
RAXE - AI Runtime Security
Dubai, United Arab Emirates
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Mukund Hirani is the founder of RAXE, an AI Runtime security company building transparent, edge-first detection systems using embedding models. He began his career in cybersecurity and incident response, defending complex environments against nation-state threats across critical infrastructure and enterprise systems.
Mukund’s perspective bridges cybersecurity, applied machine learning, and product engineering, with a strong emphasis on systems that actually ship and hold up in production.
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Embeddings Meet Runtime Threat Detection: Explainable, Quantised, Multi-Head Security
In this talk, we argue that embedding models and threat detection are architectural cousins, and show how a transparent, dual-layer detection design combining explainable signature rules with lightweight, quantised classifiers can outperform brittle rules or opaque ML alone.
We’ll focus on three practical insights
+ why confidence scores often lie
+ how fp32→fp16→int8 quantization subtly breaks scoring assumptions
+ how a simple multi-head voting policy restores both robustness and explainability.
The talk closes with what didn’t work, and a minimal blueprint attendees can apply immediately.
Mukund Hirani
RAXE - AI Runtime Security
Dubai, United Arab Emirates
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