Artificial Intelligence is reshaping cybersecurity in two fundamental ways. Organizations are deploying AI to detect threats, automate incident response, and strengthen their security posture. At the same time, AI systems themselves have become critical attack surfaces vulnerable to data poisoning, model theft, prompt injection, and adversarial manipulation.
This webinar bridges both perspectives, giving security leaders and practitioners a comprehensive view of how AI functions as both a powerful defensive tool and a system requiring protection. You'll learn practical approaches for leveraging AI to enhance security operations while implementing robust safeguards for your AI infrastructure.
We'll explore real-world applications of AI in threat detection and vulnerability management, examine the unique risks facing AI systems in production, and discuss how purple teaming validates AI-driven defenses. Through case studies demonstrating both successful AI-powered threat identification and security compromises resulting from AI vulnerabilities, you'll gain actionable insights for balancing AI adoption with effective risk management.
Whether you're evaluating AI security tools, deploying AI applications, or responsible for protecting AI infrastructure, this session provides the framework for understanding where AI fits in your security strategy and how to secure it properly.
Key Takeaways:
Practical applications of AI for threat detection, incident response, and vulnerability management
Critical security risks unique to AI systems and how to mitigate them
Governance and compliance considerations for AI in regulated environments
Purple teaming strategies for validating AI-driven security controls
Real-world case studies showing AI as both security solution and security challenge
Join us to understand how leading organizations are navigating the complex intersection of AI and cybersecurity, and leave with actionable strategies for your own environment.