Protecting Agents & AI Applications with Cisco AI Defense

AI adoption is accelerating and with it comes a new security challenge.

As organizations deploy agents, models, and AI applications across the business, they need solutions and processes built specifically for AI security. Traditional approaches are not enough to address emerging risks across the AI lifecycle.

Join us for “Protecting Agents & AI Applications with Cisco AI Defense” to explore the new paradigm of AI risk and see how Cisco AI Defense helps secure AI assets from development through deployment.

In this webinar, you’ll get a practical look at how to improve governance, identify vulnerabilities, validate safety and security alignment, and define runtime protections for AI systems in real time.

You’ll Learn:

• How to centralize governance for AI assets, including models, agents, and datasets
• How to scan third-party AI supply chain components such as open-source models and MCP servers for vulnerabilities
• How to test the safety and security alignment of agents and AI applications with algorithmic red teaming
• How to define runtime guardrails to help protect against AI threats in real time

Learn how to strengthen AI security across development, deployment, and runtime.

Speakers:

Tiffany Saade
Engineering Product Manager

Vikram Varakantum
Director, Product Management