Southeast Asian nations are making significant investments in maritime surveillance technology, but a critical gap is emerging: the ability to quickly interpret data and respond to potential threats. While sensor coverage is expanding, the region lags in integrating artificial intelligence (AI) to accelerate decision-making in maritime operations.
The Shift from Coverage to Speed
Twenty years ago, maritime operations centers relied on limited data – intermittent ship signals and delayed reports. Today, these centers are inundated with information from radar, AIS tracking, and satellite imagery. AI-enabled platforms promise faster, more predictive awareness by prioritizing information and flagging suspicious patterns. However, in Southeast Asia, this potential remains largely unrealized.
Regional states, including Indonesia, Malaysia, the Philippines, and Vietnam, are actively upgrading their maritime infrastructure. Indonesia is developing a National Maritime Security System, while Malaysia is widening its radar coverage and the Philippines is set to receive coastal radar systems from Japan. Vietnam is tightening vessel-side data collection. Despite these efforts, the ability to translate data into timely action remains a challenge.
Where AI Can Make a Difference
AI-enabled maritime domain awareness (MDA) could deliver near-term gains in three key areas: combating Illegal, Unreported, and Unregulated (IUU) fishing, improving Search and Rescue (SAR) operations, and protecting Critical Underwater Infrastructure (CUI). For example, AI can prioritize potential IUU fishing vessels by identifying anomalous loitering or suspicious rendezvous patterns. Similarly, AI-powered systems can detect small objects or signals during SAR missions, and monitor subsea infrastructure for unusual activity.
However, the success of these applications depends on more than just technology. Constraints such as fragmented mandates, uneven digitalization, and sovereignty sensitivities hinder effective coordination and escalation.
The Path Forward
Closing the gap between data collection and decision speed requires a parallel approach: continued investment in infrastructure alongside the development of data governance, interoperability, and operational procedures. The ASEAN Guide on AI Governance and Ethics, along with national AI roadmaps in Malaysia and Indonesia, provide a framework for responsible AI development.
Frequently Asked Questions
What is the primary challenge facing maritime security in Southeast Asia?
The emerging capability gap is in decision speed and the routine integration of AI-enabled fusion and decision support, despite advancements in sensors and coverage.
What are the three operational areas where AI could provide immediate benefits?
AI-enabled MDA can deliver near-term operational gains in Illegal, Unreported, and Unregulated (IUU) fishing, Search and Rescue (SAR), and the protection of Critical Underwater Infrastructure (CUI).
What is needed to successfully integrate AI into maritime operations?
Sustained work on institutional alignment, data governance, and the operating procedures that determine how information is validated and acted upon is required.
As Southeast Asian nations continue to invest in maritime surveillance, will they be able to effectively translate data into timely action, or will the analytics gap continue to widen?