Security Management Specialists

Right now, most work of security management specialists is still done by people, not by AI robots. For example, AI writing tools (like chatbots) can help draft reports, but they often make mistakes. In real legal cases, judges have had to warn lawyers because AI-generated filings cited fake cases ^{[1] [1]}.

This shows that while AI can produce text, humans must carefully check it. Similarly, AI tools that try to “read” building or system drawings are just starting out. In one study, even the latest AI models correctly identified only about 40–80% of objects on a floor plan (doors or windows were often missed) ^[2].

Some companies are beginning to offer AI review of construction drawings to catch errors (like mismatched dimensions or missing code items) ^[3], but these tools are very new. Other tasks – writing technical specifications, doing budgets and schedules, or overseeing contractors – still rely on human planning and judgment. In sum, only parts of these roles see AI help so far, and specialists still do most of the work.

Whether security firms will use AI quickly or slowly depends on many factors. On the plus side, general AI tools (for example, free chatbots or basic scheduling software) are widely available, and can save time on research or routine writing. But truly automated solutions for security system design or review are complex and expensive to build.

So far, industry leaders remain cautious. Court cases in 2025 showed that even trained lawyers cannot blindly trust AI outputs ^{[1] [1]}. This reminds us that an AI error in security planning could have big consequences, so managers want reliable, proven tools before relying on them.

In addition, security work often involves sensitive data and strict regulations, so companies move carefully. On the other hand, if AI can cut costs or fill gaps (for example by speeding up report writing or spotting obvious drawing mistakes), firms will adopt it where it makes sense. Overall, experts say that AI is likely to help with some tasks (like drafting or analysis), but human skills like experience, creativity and oversight will remain very important ^{[2] [1]}.