Four Gaps That Are Keeping AI Out of Your Security Team's Hands
Security operations centres are spending big on artificial intelligence, but most are not seeing results. The problem is not the technology.
Key points
- Most enterprise security operations centres have adopted AI tools but report no measurable improvement in how fast they investigate threats.
- The four main obstacles are explainability gaps in AI decisions, skills and workflow friction, disconnected tools, and absent governance.
- Analysts in regulated industries must show auditors exactly why a security decision was made, which black-box AI makes impossible.
- Organisations that start small, automate repetitive tasks first, and expand gradually are outperforming those that attempt full AI overhauls.
- The goal is faster human decisions, not removing humans from the process.
Security teams inside large organisations are buying AI at record pace. The results, so far, are mostly underwhelming.
CSO Online recently mapped the four places where these rollouts stall. It's less a technology problem than a people-and-process one.
Why is AI not working inside security teams yet?
The tools aren't the issue. Most teams plugged AI into a chaotic environment and expected it to create order.
Security operations centres, usually called SOCs, are the teams inside a company whose job is to watch for cyberattacks, investigate suspicious activity and respond when something goes wrong. They're perpetually short-staffed and drowning in alerts. AI was supposed to help. Often, it adds another dashboard to juggle.
What are the four gaps?
Gap one: analysts cannot see how the AI reached its answer.
In regulated industries like banking or healthcare, every security decision may need explaining to a government regulator or auditor. If an AI system flags a threat but can't show its working, the analyst faces two bad choices: trust a recommendation they can't defend, or redo the whole investigation by hand. Neither saves time. Successful teams use AI that surfaces every data source it consulted and every step it took, so a human can sign off with confidence.
Gap two: AI asks teams to rebuild processes they spent years perfecting.
Most SOCs run on playbooks, step-by-step guides for handling different attack types. Good AI slots into those guides rather than replacing them. The practical approach is a crawl-walk-run sequence: start by automating the most repetitive investigations on the most critical systems, then widen from there. Analysts learn alongside the technology instead of feeling displaced by it. We looked at the buyer-side version of this problem in our 20 July piece on stress-testing AI SOC tools before purchase.
Gap three: too many tools, none of them talking to each other.
A typical enterprise analyst might toggle between a SIEM (a system that collects and searches security logs from across the whole organisation), an EDR platform (software that watches individual computers for malicious behaviour), cloud security dashboards, identity management systems and a ticketing tool, all for a single alert. Switching between ten interfaces slows every investigation.
The fastest fix isn't moving all that data into one giant new system; that can take years. Modern AI can sit on top of existing tools and let analysts ask questions in plain English, pulling answers from every source at once without touching the underlying data.
Gap four: nobody decided what problem AI is supposed to solve.
Deploying AI without a governance plan means no clear rules about what the AI can decide on its own versus what needs a human sign-off. That leads to automation for its own sake. Any security leader considering a deployment should start with one question: what specific operational problem are we fixing? Everything else follows from that. It's the same governance gap we flagged in our July piece on AI moving faster than security teams can follow.
Should you worry if your organisation is still figuring this out?
For most workers, the direct impact of a poorly run SOC is slower detection when something goes wrong. A phishing email, where criminals send fake messages to trick staff into handing over passwords, might sit undetected longer. The protection's the same regardless: treat unexpected emails asking for credentials or payments with suspicion, and report anything odd to IT immediately.
