The Six Five Team discusses IBM AI Threat Detection.
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Transcript:
Daniel Newman: Pat, so let’s jump on and talk a little bit about an IBM announcement. This one should move a little bit more quickly, but I don’t know if you saw what’s going on with Clorox. I don’t know if you’re paying attention to the continuous stresses and pressures that GenAI data leaks breaches have and the impact that the companies… But one of the things IBM has been doing, and I’ll say it somewhat quietly, while it’s been really busy with its AI and hybrid cloud story, it also has built a very compelling security story. And with its growth in observability, its growth in log and ITSM, IBM is building products and services that are going to help companies more quickly deal with the rapid threat. It’s not if you’re going to get breached, it’s when you’re going to get breached. And so, most, while we’re moving to zero trust architectures, are trying to figure out how do you manage more responses to more threats more quickly and reduce risk.
So IBM is pushing its AI story. It’s going AI-powered with its threat detection, with the goal of basically being able to alleviate about 85% of alerts and doing them completely automatic, completely with AI, 24×7 monitoring and basically being able to layer this on top of the existing tools that companies are using. Pat, to me, it’s a pretty straightforward play. It’s a show of force around AI being used for a very practical application. It’s focusing on one of the surfaces that companies aren’t thinking as much about right now with AI. Companies are all about, “How do we get more productive? How do we push forward the AI for generative and efficiencies?” But keeping your data safe is going to be one of the wars that we’re going to have to wage for enterprises to maintain their shareholder value.
And the last thought on that is, if you actually recall, last week, we talked about IBM taking on legal and ethical responsibilities with its partners and its generative platforms. Well, security is going to be another frontier that I think there could start to see more outcome as a service type of capabilities where companies are going to have to start almost guaranteeing no breaches when you make the big investments. I’m not saying that’s what IBM’s doing, I’m just making that suggestion. But IBM’s really ramped up its observability, its SIEM technologies. You’re seeing it here. This is a start of how AI can be layered onto traditional cybersecurity to add more value. Was that fast enough? That was… By the way, I know you feel like I talked a long time. It was 90 seconds.
Patrick Moorhead: Buddy, come on, let’s not bore our audience with our back and forth here. Let’s just talk-
Daniel Newman: I think it’s cute. I actually think it’s charming.
Patrick Moorhead: Okay. All right. It was charming the first three times. Okay, now that was charming. That was entertaining. So, listen. 10 years ago, I predicted spy versus spy once AI started to get in here. And this was the fundamental belief that when we couldn’t respond, humans couldn’t respond enough because the hackers had nation state budgets, you saw hacking as a service come up, which really means in any market that it’s become primetime.
And here we are, right? IBM is taking advantage of this spy versus spy, right? They’re the spy on the good side that not only says, “I can not only tell you with a higher degree of certainty when there’s something that’s wrong, but I can also remediate it pretty quickly.” Now over time, each side is going to get smarter. Generative AI has become a boon for hackers and it will become a boon for the defenders. And IBM is one of the top five security companies out there, and they’re primarily securing the critical infrastructure, the critical software, and the critical data for financial institutions, for healthcare, for retailers. And this is just another raising the bar here. IBM is very skilled at AI. They were one of the first to go GA with generative AI from an enterprise point of view. They were, quite frankly, early. When Watson first came out, I think nearly 10 years ago, they were probably too early and they didn’t have machine learning and they were using analytics. But IBM is a force and you need to check them out if you want to protect anything that’s critical.
Author Information
Daniel is the CEO of The Futurum Group. Living his life at the intersection of people and technology, Daniel works with the world’s largest technology brands exploring Digital Transformation and how it is influencing the enterprise.
From the leading edge of AI to global technology policy, Daniel makes the connections between business, people and tech that are required for companies to benefit most from their technology investments. Daniel is a top 5 globally ranked industry analyst and his ideas are regularly cited or shared in television appearances by CNBC, Bloomberg, Wall Street Journal and hundreds of other sites around the world.
A 7x Best-Selling Author including his most recent book “Human/Machine.” Daniel is also a Forbes and MarketWatch (Dow Jones) contributor.
An MBA and Former Graduate Adjunct Faculty, Daniel is an Austin Texas transplant after 40 years in Chicago. His speaking takes him around the world each year as he shares his vision of the role technology will play in our future.
