Managers, All Other

In security management roles, some routine tasks are already helped by AI. For example, AI tools can gather and analyze security data and even draft reports on incidents or losses. One industry guide notes that AI can automate tasks like data ingestion, correlation and report generation, turning raw logs into readable summaries ^[1].

Similarly, tech news articles report that AI-driven security platforms can detect threats faster (helping managers write risk reports more quickly) ^[2]. In practice, managers often use AI (like ChatGPT-style writers) to “draft” presentations or proposals, though human review is still needed to ensure accuracy. In contrast, hands-on tasks—protecting executives in person or running to a fire alarm—remain firmly human.

These emergency and leadership duties require judgment, training, and trust in ways AI cannot duplicate now. Even the U.S. Labor Department notes that “Security Managers” and related roles span a wide range of duties (from reports to patrols) ^[3], many of which rely on human skills. In short, AI is good at crunching data and writing drafts (automating perhaps half of a manager’s paperwork), but real-time emergency response, physical protection, and team supervision still need people.

Security teams are cautiously adding AI where it makes sense. Commercial AI tools are widely available for data analysis and writing support, so managers can adopt them if budgets allow. However, cost and trust are big factors.

Implementing new AI systems can be expensive and complex, and security leaders move slowly because mistakes can be costly. Surveys show many employees feel a “readiness challenge” – workers may be uneasy about AI doing their job ^[4]. Expert analysts note that while executives (and tech CEOs) push for AI, most companies keep humans in charge of important decisions ^{[4] [4]}.

Legal and ethical rules also slow AI use in security – companies worry about liability if an AI misses a threat or makes a bad call. Overall, AI is being adopted where it boosts efficiency (automating report drafting or data checks), but uptake in security is steady rather than explosive. People still lead high-stakes tasks.

Many experts remain hopeful: AI can take over the boring bits (like number-crunching or routine writing) and free managers to focus on human skills (like leadership, planning, and quick judgment) ^[4]. In the end, security managers who learn to use AI as a helpful assistant – while retaining their decision-making role – are likely to succeed in this changing workplace.