Artificial intelligence is rapidly transforming cybersecurity—but it’s also reshaping the threat landscape. As adversaries increasingly exploit AI models for offensive cyber operations, organizations must rethink how they secure systems, protect infrastructure, and deploy AI responsibly.
Join us for an exclusive session featuring Tiffany Saadé, a leader at the intersection of AI, cybersecurity, and policy. This talk will explore how AI is being misused, how defenders can stay ahead, and what it takes to build secure, resilient AI systems in today’s high-stakes environment.
Key Topics Covered
- How adversaries exploit AI models for cyber operations
- AI red-teaming: identifying vulnerabilities before attackers do
- Building secure-by-design AI systems
- Protecting critical infrastructure with AI-driven defenses
- Bridging AI security with policy, governance, and national security
- Real-world applications of AI in cyber defense
Why Attend
- Gain insider knowledge on emerging AI-driven cyber threats
- Learn cutting-edge strategies used by industry and government leaders
- Network with cybersecurity professionals and decision-makers
- Walk away with actionable insights for securing AI systems
- Be part of a timely conversation shaping the future of cybersecurity
Agenda:
5:30 - 6:00 | In-person Networking
5:55 - 6:00 | Virtual Session Starts
6:00 - 6:15 | ISSA Chapter Business
6:15 - 7:00 | Presentation
7:00 - 8:00 | Food & Refreshments
Tiffany Saadé
Product Manager for AI Defense at Cisco, Tiffany leads the design and deployment of AI security capabilities across AI-enabled products. Her expertise spans model misuse threat mapping, LLM red-teaming, and secure-by-design controls.
She holds a Master’s in Cyber Policy & Security from Stanford, contributes to national AI strategies, and collaborates with global leaders across NATO, the U.S. government, and international institutions. Tiffany’s work bridges technical innovation with policy impact, making her a leading voice in AI security.
Please register to see the exact location of this event.