Dark Wolf Panel Discussion - Postponed

Description

As artificial intelligence continues to surge forward — fueled by technologies like ChatGPT, Retrieval-Augmented Generation (RAG), Machine-Centric Pipelines (MCP), and Agent2Agent (A2A) orchestration — AI agents are no longer passive tools. They are active participants in your digital ecosystem, interacting with sensitive data, making decisions, and initiating actions. In this new landscape, AI agents are identities and the only way to protect your data is to govern them accordingly.

This session explores the vital intersection of artificial intelligence and cybersecurity — particularly as it pertains to modeling and simulation datasets and the human performance intertwined therein — with a focus on data hygiene as the foundation that determines whether your AI initiatives flourish or fail. We'll examine how traditional cybersecurity approaches must evolve to address the unique challenges of the AI era, where data quality and security directly impact model performance, decision-making accuracy, and organizational risk.

Just as human users require scoped access, AI agents demand carefully designed least-privilege roles that limit their exposure and reduce potential blast radius. Why? Because data security is AI security. AI relies on the integrity and protection of its data "soil" — the training sets, knowledge bases, and organizational data that fuel outcomes. If the data isn't secure, neither is the AI built on top of it.

This session is essential for security professionals, IT leaders, and decision-makers who need to balance AI innovation with robust risk management in an increasingly complex digital landscape. From identity-first design to data hygiene, it's time to treat your AI like the powerful actor it is — and secure it like you mean it.

 

Date & Time

Mon, Oct 20, 2025 1:00 PM - 3:00 PM

Venue Details

In-Person at the Central Florida Tech Grove

12809 Science Drive
Orlando, Florida 32826

Central Florida Tech Grove