Speaking and podcasts
For podcasts, conferences, panels, and internal briefings that need an operator voice on fraud infrastructure, vendor evaluation, explainability for ops, payout risk, and real production tradeoffs.
About
About Riskernel
Riskernel is an engineering lab with a live scoring engine, founded by AI researcher and veteran fraud data science executive Amir Shachar.
The record
Amir Shachar is an AI researcher, patented inventor, and veteran Data Science executive. His academic background is in Mathematics, Computer Science and Statistics, from the Technion and Tel Aviv University.
Prior to founding Riskernel, he served as Head of Fraud Data Science at NICE Actimize, where he led the R&D and patented commercial deployment of Federated Learning across global Tier-1 financial institutions (awarded the 2019 NICE Actimize CEO Excellence Award).
Later, as Chief AI Scientist at Skyhawk Security, he directed AI-driven threat detection research and co-led its AI purple team.
Amir is the named inventor on 14 patents: holder of 9 granted US patents (and 5 pending) in machine learning, privacy-preserving AI, and fraud detection. See the patents.
Architect of the AlgoGens framework, uniting generative AI with algorithmic solvers, and curator of the 100-system hybrid AI index. How Riskernel uses it.
Author of foundational research monographs on Semi-Discrete Calculus on regime shifts in rare-event streams, embedded inside a granted patent for a self-training ML engine.
Featured in TechTarget, Dark Reading, CSO and Yahoo Finance.
Exhibit A · Track record
What the record shows.
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2019
CEO Excellence Award at NICE Actimize, for patented commercial deployment of federated learning.
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9
Granted US patents (plus 5 pending): machine learning, AI, fraud detection.
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Tier-1
Former Head of Fraud Data Science at NICE Actimize, deploying models for Tier-1 institutions.
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Research
Author of research monographs on Hybrid AI Architectures and Semi-Discrete Modeling.
Exhibit B · Talks and advisory
Talks, advisory and the newsletter
Book Amir for a podcast or conference, hire him for a vendor-evaluation or shadow-test decision, or follow the biweekly newsletter and the quarterly report.
Expert advisory
For expert sessions on vendor evaluation, shadow-test design, payout-control reviews, and the operational decisions that should be made before a team commits.
Newsletter
A biweekly, numbered note for fintech operators on fraud infrastructure, payout risk, latency, and explainability.
Also: the quarterly fraud infrastructure report, for podcast hosts, conference organizers and buyers.
See how this would run on your own flows.
Runs beside your current system. Nothing to rip out.