AI Risk Management for Executives and Decision Makers

Date & Time:

Thursday, September 10, 2026
9:00 AM - 11:30 AM Eastern

Format: "Live" online.

This live, instructor-led online course provides executives and decision-makers with an overview of AI strategy, governance, and risk management, covering AI fundamentals, emerging threats, risk mitigation, governance best practices, and compliance considerations.

Prerequisites

• Prior Knowledge / Experience: There are no explicit technical prerequisites listed. The content covers baseline foundational concepts suitable for leaders (e.g., general AI concepts, basic terminology, and threat overviews). There is no technical knowledge requirement.
• Role Alignment: Participants should hold executive, leadership, or decision-making responsibilities within public sector or agency environments.

Course Overview

This course is designed for executives and decision-makers responsible for guiding AI-related strategy, governance, and risk management within their organizations. Designed to build awareness of emerging AI threats and strengthen responsible oversight, this course provides engaging content on AI fundamentals, key risk exposures, threat mitigation, governance practices, and risk assessment methods grounded in established frameworks and compliance considerations.

Participants will gain:

Participants attain a high-level strategic and operational understanding of AI threat management and AI governance. Key takeaways include:

• Foundational AI Literacy: A clear understanding of core AI terminology, data concepts (labelled vs. unlabelled, corpora), fine-tuning, foundation models, and agentic AI systems.
• Understanding of AI Threats & Vulnerabilities: Knowledge of key attack vectors, including data poisoning, evasion attacks, model inversion/theft, prompt injection, MDoS, sensitive information disclosure, and supply chain risks.
• Risk Assessment & Mitigation Frameworks: Guidance on evaluating vendor risk, establishing technical and operational controls, monitoring models, managing data lineage, and preparing for AI incident response.
• Actionable Resources: Access to an "AI Tools Folder" containing practical aids, such as AI governance questionnaires, NIST CSF / AI RMF mapping tools, and suggested governance actions.

Key Takeaways

Part 1

• Regulatory Rationale: Overview of FISMA, OMB Circular A-130, EO 14028, and Florida Rule 60GG-2 statutory requirements.
• AI General Overview: Defining AI vs. human intelligence, ML models, generative/agentic AI, fine-tuning, and technology stacks.
• Overview of AI Threats: Analysis of enterprise, technical, process, organizational, emergent, and CIA triad-related risks in AI systems.

Part 2

• AI Threat Mitigation: Specific mitigation strategies for data poisoning, evasion, model theft, prompt injection, supply chain attacks, and privacy leaks.
• AI Governance: Applying NIST AI RMF, NIST CSF V2, and Rule 60GG-2.x; vendor risk management; agentic AI controls; and AI decommissioning/incident response.
• AI Risk Assessment: NIST RMF 7-step process, risk initial assessment, evaluation metrics (accuracy, precision, recall), KPIs/KRIs, and role-specific training.

 Who Should Attend?

• Agency Heads, Executives, and C-Suite Leadership responsible for strategic direction, risk management, and regulatory compliance.
• State and Local Government Decision Makers within public sector agencies.
• Personnel tasked with governance, risk assessments, and oversight of AI, or vendor integrations.
• Program Directors and Stakeholders evaluating or deploying AI tools and cloud services within government workflows.

Completion

Upon successful course completion, participants receive a USF digital badge as recognition of their training. Participants can showcase this certificate on their professional profiles, such as LinkedIn.