2026-01-14
Dr. Pongsak Wonglertkunakorn
AI Security: When Systems Begin to Understand “Social Behavior”
Dr. Pongsak Wonglertkunakorn
- Workplace Consultant
- Ph.D. in Management from National Institute of Development Administration
- M.S. in Computer and Information Science from University of Pennsylvania
- B.Eng. in Computer Engineering from Chulalongkorn University
Traditional security systems operate in an event-driven manner.
But real society doesn’t move as a series of isolated events.
AI is transforming security platforms into pattern-aware systems—
systems that learn the normal behavior of a given environment, such as:
- Entry and exit times
- Usage patterns
- Crowd density
From a technical perspective, this relies on:
- Behavioral baseline modeling
- Anomaly detection
- Real-time risk scoring
The result is a system that alerts only on truly abnormal situations,
not on everything that merely deviates from predefined rules.
Enterprise platforms designed with this approach enable security teams
to make decisions based on contextual intelligence, not noise.