Developing a RegTech-Based Legal Compliance Model for Preventing Unlawful Hidden CCTV Surveillance in Indonesia

Description

The rapid development of miniature, wireless, and remotely accessible surveillance technologies has increased the risk of unauthorized monitoring in private and semi-private spaces. Previous research has identified legal weaknesses in addressing hidden CCTV surveillance in Indonesia and has highlighted the potential use of Regulatory Technology (RegTech) to support privacy compliance. However, an operational legal and technological model capable of translating privacy obligations into preventive compliance mechanisms has not yet been systematically developed. This research proposes to develop a RegTech-based legal compliance model for preventing unlawful hidden CCTV surveillance in Indonesia. The study will examine the adequacy of existing legal obligations concerning surveillance, privacy, personal data protection, property-owner responsibility, consent, and accountability, and subsequently translate these obligations into measurable compliance indicators. A normative legal research approach will be combined with comparative regulatory analysis and a regulatory-design framework. The study will also assess relevant technological mechanisms, including automated privacy audits, wireless-device detection, digital consent records, risk-based monitoring, and tamper-resistant compliance logs. The research is expected to formulate a regulatory architecture that integrates legal rules, institutional responsibilities, property-owner due diligence, and RegTech-based monitoring mechanisms. The proposed model will distinguish between lawful security surveillance and prohibited covert surveillance while establishing preventive procedures for detection, authorization, documentation, and accountability. The study is expected to contribute to the development of technology-responsive privacy regulation by shifting surveillance governance from predominantly reactive law enforcement toward preventive and continuous compliance. Its findings may provide a regulatory model for policymakers, property operators, organizations, and technology providers in strengthening privacy protection against increasingly sophisticated covert surveillance practices.