Balancing Act: Knowing When AI’s Risk is Worth Reward
Forrester analysts weigh the pros and cons of implementing artificial intelligence in an organization.
![](https://eu-images.contentstack.com/v3/assets/blt69509c9116440be8/bltc99d95308235dfda/6554bba145ea59040a47bec1/DSC_1838.jpg?width=850&auto=webp&quality=95&format=jpg&disable=upscale)
Artificial intelligence has become a veritable gold rush in the past year as organizations begin to look for ways to implement the emerging technologies. But there are some major inherent security concerns and other big risks.
Is it worth taking the plunge now?
Forrester analysts Jeff Pollard and Allie Mellen seem to think so. During their keynote presentation Tuesday at Forrester’s Security & Risk event in Washington, D.C., the duo made a case for adopting AI despite the risks, as the rewards are too great to pass up.
“Yes, this brings new threats,” Pollard said. “Yes, it brings new risks. But all of those things are necessary for it to bring new opportunities … AI is going to help your team solve some of the most critical problems.”
GenAI is Living Up to Hype
Unlike the hype surrounding a metaverse that has yet to materialize in a meaningful way, AI is different, Pollard said. “When you look at what’s happening with generative AI, in particular, the catalysts are all lined up. There’s significant funding for this. There have been beta tests at scale… This can be delivered as part of existing software and tech stacks.”
Pollard said the speed of AI adoption is causing a lot of anxiety in the CISO world. “This is moving so fast… and that scares a lot of CISOs. It scares a lot of legal teams and rightfully so. Risk is a four letter word when it comes to emerging technologies. But what I want you to do is start thinking about risk and substituting a different word. And that word is trade-offs. Because trade-offs are the everyday language of risk.”
In the near term, GenAI will be very attractive for senior-level workers, Mellen said. “Ultimately, generative AI and security tools are going to be very useful for those folks who are experienced and more senior level because they have been itching for a tool that is going to help them validate what’s happening in the environment and respond faster.”
AI Hacking Risk Ranks Lower Than You Might Think
While adversarial AI used by cyberattacks is a real concern, Mellen said attacks will take longer to develop with AI. “First, logistically, it’s actually very difficult. You can’t just hack into all of these machines and voila, you have a bunch of money,” she said. “There’s a lot from a software perspective. You have to build around it to make generative AI useful for [hacking].”
Even without AI, breaches are on the rise and the cost of attacks is increasing, Mellen said. “What do they need generative AI for?”
Breaches and attacks by nation-states will be another story, Mellen noted. “All those deep faces, especially for nation-states are going to be very popular. We’re going to see that a lot more next year, especially with the number of elections happening.”
About the Author(s)
You May Also Like
How to Amplify DevOps with DevSecOps
May 22, 2024Generative AI: Use Cases and Risks in 2024
May 29, 2024Smart Service Management
June 4, 2024