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Symposium 03

Security & Resilience

AI Security, Cyber Resilience & Operational Protection for Enterprise AI Systems

This symposium focuses on one of the most critical and rapidly emerging enterprise challenges: How organizations can secure AI systems, AI-enabled operations, GenAI platforms, AI agents, and AI-driven business processes against modern cyber threats, operational failures, misuse, and uncontrolled automation.

Overview

Symposium Overview

This symposium focuses on one of the most critical and rapidly emerging enterprise challenges: How organizations can secure AI systems, AI-enabled operations, GenAI platforms, AI agents, and AI-driven business processes against modern cyber threats, operational failures, misuse, and uncontrolled automation.

Artificial Intelligence introduces a completely new attack surface. Traditional cybersecurity controls alone are no longer sufficient.

Organizations must now understand: AI attack vectors, Prompt injection risks, AI model abuse, AI runtime vulnerabilities, Agentic AI risks, Autonomous system exposure, AI supply chain threats, AI operational resilience, AI governance enforcement.

This symposium helps leadership and operational teams understand how to build secure, resilient, governed, and continuously monitored AI ecosystems.

Symposium Focus

This symposium focuses on one of the most critical and rapidly emerging enterprise challenges: How organizations can secure AI systems, AI-enabled operations, GenAI platforms, AI agents, and AI-driven business processes against modern cyber threats, operational failures, misuse, and uncontrolled automation.

Importance of the Domain
  • Unsecured AI systems
  • Shadow AI exposure
  • GenAI misuse risks
  • Lack of AI runtime controls
  • AI operational vulnerabilities
Expected Outcomes
  • Why AI requires new cybersecurity models
  • How AI systems can fail or be exploited
  • How to secure enterprise AI systems
  • How to govern AI runtime operations
  • How to improve AI resilience
Target Audience

Who Should Attend

CISOs
Security leaders
Cybersecurity departments
SOC leaders
Infrastructure teams
Security architects
Risk management teams
AI governance teams
Incident response teams
Enterprise architects
CIOs
Operational resilience leaders
Digital transformation departments
Skills

Skills Participants Will Gain

Participants will gain the ability to:

Understand AI-specific cybersecurity risks
Identify AI attack surfaces
Understand GenAI security threats
Understand AI security architecture principles
Understand AI runtime protection concepts
Understand AI identity and access governance
Understand AI threat modeling principles
Build AI resilience awareness
Understand AI red teaming concepts
Understand AI incident response models
Understand AI monitoring and observability
Reduce operational AI risk exposure
Curriculum

What Will You Learn?

01AI Threat Landscape & Attack Surface
02AI Security Architecture
03Identity, Access & Control for AI Systems
04AI Threat Modeling & Security Testing
05AI Runtime Protection & Monitoring
06AI Incident Response & Operational Resilience
Enterprise Challenges

Enterprise Challenges Addressed

This symposium addresses challenges such as:

Unsecured AI systems
Shadow AI exposure
GenAI misuse risks
Lack of AI runtime controls
AI operational vulnerabilities
AI attack surface expansion
AI monitoring gaps
Weak AI governance enforcement
Lack of AI resilience planning
AI supply chain risk exposure
Executive Takeaways

Executive Takeaways

By the end of this symposium, leadership teams will understand:

Why AI requires new cybersecurity models
How AI systems can fail or be exploited
How to secure enterprise AI systems
How to govern AI runtime operations
How to improve AI resilience
How to reduce AI cyber exposure
Future Pathways

Suggested Future Pathways

AiSOC-X™
GAISP™
CISAIP™
Secure AI Architecture Engineer (SAIAE)™
National AI Security & Resilience Program (NASRP)™

Register Your Interest in this Symposium

Join the Security & Resilience symposium within the Executive AI Readiness Symposiums program.