What does this research mean for the field?

While Artificial Intelligence offers promising applications for threat assessment in close protection and surveillance, such as OSINT analysis and LLM support, its implementation is hindered by challenges related to data quality, availability, and human-AI interaction in high-stakes operational settings. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

The central aim is to evaluate how Artificial Intelligence can improve threat assessment in close protection and surveillance.

July 29, 2026Legal and Criminological PsychologyOpen Access

The impact of artificial intelligence on close protection and surveillance

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Authors

IVIsabelle van der Vegt

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Overview

Randomized trial assesses AI's role in enhancing threat assessment in close protection, suggesting effective applications but complex challenges.

Key Points

The central aim is to evaluate how Artificial Intelligence can improve threat assessment in close protection and surveillance.
Conducted in-depth interviews with experts and practitioners in Dutch close protection and surveillance.
Held an expert meeting to rank challenges identified during interviews.
Identified numerous promising AI applications, particularly in OSINT analyses and support from large language models.
Challenges include data quality issues and uncertainty regarding human-AI interactions in operational contexts.

Cite This Study

Isabelle van der Vegt (2026) studied this question.

synapsesocial.com/papers/6a69a2d4c8da07d9defa6d53 https://doi.org/10.1111/lcrp.70054

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July 29, 2026Legal and Criminological PsychologyOpen Access

The impact of artificial intelligence on close protection and surveillance

View Full Paper

Ask AI

Bookmark

Authors

IVIsabelle van der Vegt

Discussion

Member takes

Overview

Randomized trial assesses AI's role in enhancing threat assessment in close protection, suggesting effective applications but complex challenges.

Key Points

The central aim is to evaluate how Artificial Intelligence can improve threat assessment in close protection and surveillance.
Conducted in-depth interviews with experts and practitioners in Dutch close protection and surveillance.
Held an expert meeting to rank challenges identified during interviews.
Identified numerous promising AI applications, particularly in OSINT analyses and support from large language models.
Challenges include data quality issues and uncertainty regarding human-AI interactions in operational contexts.

Cite This Study

Isabelle van der Vegt (2026) studied this question.

synapsesocial.com/papers/6a69a2d4c8da07d9defa6d53 https://doi.org/10.1111/lcrp.70054

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