Only 10% of SOCs say they're getting excellent value from AI. The first wave delivered speed but not precision. Here's what the second wave must fix to make AI worth the investment.
Eighteen months ago, the AI SOC was just a marketing buzzword. Today, it's a real budget line item. The shift from interesting to inevitable has happened fast. Billions of dollars are now pouring into AI-powered security operations platforms, agentic SOC tools, and AI co-pilots built into every layer of the security stack. Data shows SOCs are buying, deploying, and standing up AI capabilities at the fastest pace ever.
But here's the catch: only 10% of SOCs say they're getting excellent value from AI. That's a huge gap between investment and payoff. So what's going wrong? And what does the second wave of AI need to deliver to make the other 90% feel like they're getting their money's worth?
### The First Wave: Hype vs. Reality
The first wave of AI in security was all about speed. Vendors promised faster detection, faster response, and less noise. And to be fair, some of that happened. AI tools can sift through millions of logs in seconds. They can flag anomalies that would take a human days to find. But speed alone isn't value.
What most SOCs found was that AI generated a lot of alerts—but many were false positives. Analysts spent more time triaging AI outputs than responding to real threats. The tools were smart, but they didn't understand context. They didn't know which alerts mattered to your specific environment.
### What the Second Wave Must Fix
The second wave of AI in security has to be different. It's not about more alerts or faster processing. It's about precision, integration, and trust. Here's what needs to change:
- **Better context awareness:** AI needs to understand your network, your users, your normal behavior. Not just generic threat patterns.
- **Fewer false positives:** The goal should be quality over quantity. One real threat is worth more than a thousand noise alerts.
- **Seamless integration:** AI tools can't sit in a silo. They need to work with your existing SIEM, SOAR, and ticketing systems.
- **Explainable decisions:** Analysts need to know *why* the AI flagged something. Black-box decisions erode trust.
### The Human Element Still Matters
Let's be real: AI isn't replacing your SOC team anytime soon. The best results come from humans and AI working together. AI handles the grunt work—log analysis, pattern matching, initial triage. Humans bring judgment, creativity, and business context.
One security operations manager told me, "We thought AI would solve all our problems. Instead, it created new ones. Now we're learning to use it as a tool, not a crutch." That's the right attitude.
### Practical Steps for SOC Leaders
If you're a SOC leader trying to get better value from AI, here are a few things you can do right now:
- **Start small:** Pilot AI on one specific use case, like phishing detection or endpoint alerts. Measure the impact before scaling.
- **Train your team:** AI tools are only as good as the people using them. Invest in training so analysts understand how to interpret AI outputs.
- **Set clear metrics:** Define what "value" means for your organization. Is it reduced response time? Fewer false positives? Higher detection rates?
- **Demand transparency:** When evaluating vendors, ask how their AI makes decisions. Look for tools that offer explainability.
### The Bottom Line
The first wave of AI in security was a learning experience. It showed us what's possible—and what's not. The second wave has to deliver on the promise. That means AI that's smarter, more integrated, and more trustworthy. It means tools that make your analysts' jobs easier, not harder.
Only 10% of SOCs are getting excellent value today. But with the right approach, that number can grow. It's not about throwing more money at AI. It's about being intentional about how you use it.
> "AI in security is like a new hire. You wouldn't expect a new hire to run the whole SOC on day one. You'd train them, give them clear tasks, and measure their progress. Treat your AI the same way."
That's the mindset shift that will unlock real value. The second wave is here. Let's make it count.
