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Teaching People to Use AI Without Security Is Half a Lesson
AI skills are spreading far beyond technology teams. The ability to use AI safely needs to travel with them.
ITSEC Asia
Seven hundred and fifty government employees across Kalimantan started AI training this week. The program, run by BLSDM Komdigi Banjarmasin with ASEAN Foundation, covers AI fundamentals, ethics, implementation and something that deserves to sit comfortably beside all three: data security.
That combination makes sense.
Organizations are teaching more people how to use AI because AI is becoming part of ordinary work. Employees can summarize documents, analyse information, draft material and automate routine tasks without writing a line of code.
Every new capability also creates a new question: what exactly are we giving the AI?
The AI Skill Gap Has a Security Side
An employee can be perfectly competent at prompting an AI system while making poor security decisions around it.
Imagine someone needs to summarize a lengthy internal report. Uploading the document may produce an excellent summary. Whether the document should have been uploaded in the first place is an entirely different test.
As AI becomes commonplace, workers need enough security literacy to ask questions such as:
- What information am I putting into this system?
- Does it contain personal, confidential or customer data?
- Which AI tools has my organization approved?
- Can generated output reveal information that shouldn’t be shared?
- When should an AI-generated answer be verified before someone acts on it?
None of these questions requires everyone to become a cybersecurity specialist. They require people to understand where convenience ends and risk begins.
The ASEAN Foundation’s AI Ready ASEAN program takes a similar approach at regional scale. It aims to equip 5.5 million people across Southeast Asia with AI skills while emphasizing responsible and ethical adoption.
Cyber Teams Are Learning AI Too
The skills exchange works in the other direction.
NIST’s NICE program has been examining how AI is changing cybersecurity work, skills and careers. Its July workforce webinar argued that existing and incoming cyber professionals need to adapt as AI changes both the technology they protect and the work they perform.
So two training needs are beginning to meet in the middle.
General employees need enough security knowledge to use AI responsibly. Cybersecurity professionals need enough AI knowledge to understand how these systems work, where they fail and how they change organizational risk.
The overlap includes practical areas such as data handling, access control, model and application security, AI-enabled threats and governance.
Simply adding “AI” to a course title won’t magically cover all of that. Sadly, curriculum design remains resistant to shortcuts.
Train for the Moment Someone Clicks Upload
Security training around AI works best when it gets concrete.
Give learners a realistic scenario involving a customer document, internal financial information or source code and ask them to decide what can safely enter an AI system. Let cybersecurity learners examine an AI-enabled workflow and identify where data, identity or access could become exposed.
That kind of practice connects AI literacy with the decisions people actually make at work.
It also fits the practical learning approach of ITSEC Cyber & AI Academy, where cybersecurity and AI can be taught as connected capabilities rather than separate technology subjects.
The next generation of workforce training will increasingly need both. Knowing how to ask AI the right question is useful. Knowing what you shouldn’t tell it may save considerably more trouble.
Explore practical cybersecurity and AI training at ITSEC Cyber & AI Academy.
References: BLSDM Komdigi Banjarmasin: 750 Aparatur Ikuti Pelatihan AI, 7 September 2026 · NIST NICE: Shaping the Future of the Cyber Workforce in the Age of AI · ASEAN Foundation: AI Ready ASEAN
