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Who Let The Bot In?
Control Agentic AI Before It Goes Too Far
Overview
Agentic AI challenges how we think about software. We tend to believe that software does what we as humans tell it to. Unseen actions or autonomous updates simply don’t happen without human intervention.
But with our digital agentic AI coworkers in place, this is all changing. These systems don’t just follow commands; they make decisions and learn from outcomes in real time.
It’d be one thing to adjust to these changes incrementally. But with nearly 100% of organizations pursuing AI adoption, it's crucial to understand the wide-scale security and operational impacts. Without just getting caught up in the excitement.
How can you, as an IT leader, govern agentic AI’s scope without limiting its productivity potential?
Let this guide be your north star for understanding what’s really possible with agentic AI (and what can possibly go wrong). Grab your copy to learn how to reel agentic AI in before it goes too far.
What’s Inside:
- The unique risks of agentic AI
- Real-world examples of agentic AI gone wrong
- Why identity-first governance is essential
- The steps you can take to better secure your environment as agentic AI evolves
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