---
title: Online Gambling and AI Create New Internal Data Leak Threats
url: https://www.elseif.net/online-gambling-and-ai-create-new-internal-data-leak-threats
published: 2026-10-06T18:06:14+00:00
language: en
section: Agents
source: https://inet.detik.com/security/d-8691970/judi-online-dan-ai-jadi-ancaman-baru-kebocoran-data-dari-dalam
organizations: SearchInform, Pusat Pelaporan dan Analisis Transaksi Keuangan
publisher: elseif
---

# Online Gambling and AI Create New Internal Data Leak Threats

Companies are facing increased risks of data leaks from insider threats, driven by financial pressure from online gambling and the widespread use of artificial intelligence in the workplace.

Lev Matveev, the founder of SearchInform, stated that insider threats are generally motivated by financial gain, negligence, or a lack of caution. In Indonesia, these risks are amplified by suboptimal data classification, monitoring systems, and access rights management, which create gaps for both accidental and intentional leaks.

Financial distress from online gambling is highlighted as a key driver for employee fraud. Data from the Financial Transaction Reports and Analysis Center shows that approximately 12.3 million people made deposits to online gambling accounts in 2025, totaling 36 trillion rupiah. Additionally, more than 51,000 civil servants have been identified as involved in online gambling since 2017.

Specific cases of internal fraud include a bank employee in Sabang who took 1.4 billion rupiah from customer accounts for personal use and gambling. In September 2026, eight employees of a state owned bank faced trial in Bandung for falsifying data for 104 debtors, causing a loss of 2.66 billion rupiah.

Generative AI introduces new leak pathways, as employees may upload client lists, contracts, or financial documents to external chatbots for formatting or summarizing. The risk increases with AI agents connected to internal systems, such as email or CRM, which can move larger volumes of data than manual actions. Hidden malicious instructions in documents processed by AI agents could also leak confidential information without direct copying.

Matveev suggests that banning AI is ineffective because employees may use personal devices, making activities harder to monitor. Instead, companies should control what information is entered into AI systems. Conversely, AI can strengthen security by recognizing suspicious patterns and understanding the context of conversations to detect leaks that traditional rule based systems miss.

To mitigate risks, companies can use Data Loss Prevention, Data Security Posture Management, and Data Centric Audit and Protection. These technologies help classify sensitive data and monitor its movement. Companies are also encouraged to provide employee education on handling confidential information and responsible AI use.