Everfox On Demand Webinar- AI Builders: Critical Capabilities to Operationalize AI

Webinar Overview

As Artificial Intelligence (AI) and Machine Learning (ML) expand across Defense and Intelligence Community operations, AI Models must support distributed multi-classification missions. Therefore, model ingestion, data integrity, data flow enforcement, and data access become especially complex where missteps can dramatically increase the attack surface.

This webinar explores how Everfox is helping to accelerate the development of AI systems to support and secure the progressive use of ML and AI across distributed multi-classification missions, whether at the enterprise or the edge.

What attendees will learn:

How Everfox Cross Domain Solutions support distributed multi- classification missions.
Enabling rapid cross domain access, administration, and model adaptation for AI and GenAI platforms.
Threat removal for AI and GenAI tools, platforms, and data pipelines.
Unidirectional flow enforcement for high-threat AI and GenAI system deployments.

Dr. Carbone has over 35+ years of experience in serving the defense industry in roles such as: Engineering Fellow, Chief Science Advisor, Technology Director, Chief Engineer for Innovation, Chief Data Scientist, and Applied AI with AI Ethics and AI Security, as well as, Advanced Data Science as an Adjunct Professor at Southern Methodist and Baylor University. Dr Carbone holds patents in the areas surrounding Big Data/Cloud warfighting and implications in cybersecurity.

Dr Carbone has extensive professional experience in mission critical defense planning, modeling and tactical edge programs that span joint programs across various US defense teams and capabilities. His important work is considered to have moved paradigm shifts for US Defense, Intelligence and global governments.

Dr. Carbone currently serves as Senior Technical Director & Chief CIP Solutions Architect Everfox, Global Governments and Critical Infrastructure while developing and teaching transformational master’s and PhD curriculum on Applied Artificial Intelligence, Self-Learning Machines, and Applied Data Science at Baylor and Southern Methodist University.

Dr. Carbon’s work has been published in over 100+ AI, Engineering, and Data Science publications. His latest book, “Chatbots, The good, The Bad, and The Ugly”, explores AI, chatbots, and Large Language Models and made available by Springer Publishing.