Just as enterprises started getting their arms around AI application strategy, agents arrived — and changed the equation again.

With planning capability, tool access, and autonomy, agents are tireless, highly capable workers. They’re also significantly more dangerous than the AI applications that came before them. They make decisions. They take actions. They chain tools together. And they do it at machine speed, often outside the boundaries your existing controls were designed for.

This session is built for leaders who need to get ahead of agentic risk — not react to it after the first incident.

We’ll walk through agentic AI risk from a full lifecycle perspective, looking at where issues emerge in development and after deployment, and what it takes to manage them at scale.

What You’ll Take Away

A clearer view of agentic risk
Where it comes from, how it differs from traditional AI risk, and why it demands a different control model.

A lifecycle playbook
A practical framework for managing agentic risk from supply chain through runtime, the same lens Cisco uses internally and with customers.

Strategies you can act on
Concrete moves for your organization to start securing agentic systems now, not after the next board question.

Cisco’s open resources
A look at the assets Cisco has built to help AI and security leaders move faster:

• The Cisco AI Safety and Security Framework
• LLM leaderboards for model risk evaluation
• Open-source projects including DefenseClaw and agentic scanners

This demo webinar is for: 

• CISOs and security leaders shaping AI strategy
• AI and data leaders accountable for safe deployment
• Security champions driving AI governance across the business
• Executives evaluating agentic AI investments and the risk that comes with them

Demo webinar dates & times:
June 30th at 11am PT
June 30th at 10am BST