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. Here is why 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: lack of explainability in AI decisions, skills and workflow friction, too many disconnected tools, and absent governance.
- Analysts in regulated industries must be able to 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 out the four places where these rollouts stall. The picture is less a technology problem and more a people-and-process one.
Why is AI not working inside security teams yet?
The tools are not the issue. The issue is that most teams plugged AI into a chaotic environment and expected it to create order.
Security operations centres, usually called SOCs (pronounced "socks"), are the teams inside a company whose job is to watch for cyberattacks around the clock, investigate suspicious activity, and respond when something goes wrong. They are under constant pressure, 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, healthcare, and critical infrastructure, every security decision may need to be explained to a government regulator or a company auditor. If an AI system flags a threat but cannot show its working, the analyst has two bad choices: trust a recommendation they cannot defend, or redo the whole investigation by hand. Neither saves time. Successful teams use AI that shows 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, which are step-by-step guides for handling different types of attacks. 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 replaced by it.
Gap three: too many tools, none of them talking to each other.
A typical enterprise analyst might need to check 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 is not to move all that data into one giant new system. That can take years. Modern AI can sit on top of the existing tools and let analysts ask questions in plain English, getting answers pulled 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, meaning clear rules about what the AI can decide on its own versus what needs a human sign-off, leads to automation for its own sake. The first question any security leader should ask before a deployment is simple: what specific operational problem are we trying to fix? Everything else follows from that.
What should ordinary employees know?
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, that reaches your inbox might sit undetected longer. The best protection remains the same: treat unexpected emails asking for credentials or payments with suspicion, and report anything odd to your IT team immediately.
