The agentic AI dilemma

Minimize risks and complexity of agentic AI adoption

Balance the need for security and speed

Organizations are racing to launch AI agents. In fact, 95% of companies plan to adopt agentic AI even faster than GenAI.*

But adopting agents too quickly can introduce risks, costs, and complexity that stall innovation instead of fueling it.

This creates a dilemma for organizations that need to balance the speed of adoption with security and scale.

This position paper looks at three key considerations when adopting agentic AI, including:

Why thinking globally is a must for a fast, reliable user experience
How compute pricing model flexibility helps scale up and down
Ways to prioritize integration and efficiency for security services

What areas of your organization’s cybersecurity do you have responsibility for? Please select all that apply. *

Executive level strategy and planning

Security Leadership (e.g. defining organization’s security posture)

Security Management (e.g. running day-to-day of security team)

Technical (e.g. providing technical support expertise in areas such as engineering, architecture, response, intelligence)

None

What strategic initiatives are a priority for your organization? (Check all that apply)*

Network modernization

Modernizing application development

Reducing tech complexity through consolidation

Holistic, intelligent threat defense

Data protection and compliance

Data visibility and localization

Integrating AI into IT, security, and engineering operations

Other

What does your current technology vendor landscape look like? (Check all that apply) *

Cisco

Zscaler

Palo Alto Networks

Akamai

Homegrown technology solutions

Other/do not know

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