INTERPOL: Operation Shams II Identifies 126 Nigeria AI Suspects

• INTERPOL's Operation Shams II, held in Tunis from June 1-5, 2026, identified 126 suspected foreign terrorist fighters.
• The operation utilized artificial intelligence to process over 108,000 facial images extracted from jihadist online content.
• Nigeria was one of eleven countries participating in the initiative, which also involved 28 specialized officers.
• Beyond facial recognition, the operation deployed INTERPOL cryptocurrency tracing tools, leading to three urgent data requests to a Virtual Asset Service Provider.
• All AI-generated results were verified by human analysts, and the data is now integrated into INTERPOL databases to disrupt terrorist movements.

Operation Shams II stands as a testament to the power of combining international law enforcement cooperation with advanced AI-assisted analytical capabilities.

The International Criminal Police Organisation (INTERPOL) recently coordinated a significant international counter-terrorism initiative, Operation Shams II, which successfully identified 126 suspected foreign terrorist fighters. This intensive five-day operation, held in Tunis, Tunisia, from June 1 to 5, 2026, leveraged advanced artificial intelligence to analyze a vast collection of digital evidence. Nigeria was among the eleven nations that actively participated, contributing to a collaborative effort involving 28 specialized officers and experts from countries including Côte d’Ivoire, Ghana, Iraq, Kenya, Malaysia, the Philippines, Qatar, Tajikistan, Tunisia, and Uzbekistan.

The primary objective of Operation Shams II was to disrupt terrorist networks and their financial lifelines within the digital realm. Investigators extracted over 108,000 facial images from visual content disseminated by jihadist groups online. These raw images were then subjected to an innovative AI-driven process designed to streamline the identification of potential threats, marking a significant step in Nigeria counter-terrorism AI capabilities and broader international efforts.

Artificial intelligence agents and AI-generated scripts played a crucial role in automating initial data collection and investigative steps. This technology efficiently removed duplicate images and performed quality checks, significantly reducing the initial dataset to 6,362 unique, high-quality facial images. These refined images were subsequently processed through INTERPOL’s sophisticated facial recognition system, leading to the identification of the 126 individuals. INTERPOL emphasized that all AI-generated results underwent rigorous review and verification by trained human officers and analysts, ensuring compliance with the organization's established rules for data processing.

Further intelligence, including hundreds of images linked to terrorism suspects, was supplied by INTERPOL’s National Central Bureau in Baghdad, Iraq, enriching the overall investigation. The matches generated during Operation Shams II terrorist identification are now being integrated into INTERPOL’s extensive databases. This crucial data aims to enhance existing intelligence on the suspects, providing valuable insights into their potential locations and social networks, thereby bolstering global efforts to detect, track, and disrupt the cross-border movement of foreign terrorist fighters.

Beyond facial recognition, Operation Shams II also incorporated cutting-edge INTERPOL cryptocurrency tracing tools to combat terrorist financing. This financial investigation successfully identified illicit funding flows, leading to three urgent requests for customer data from a Virtual Asset Service Provider. These requests were specifically designed to interrupt the financial channels supporting terrorist activities.

In a broader engagement, participating countries also initiated discussions with representatives from the online gaming industry. These conversations addressed growing concerns regarding the potential for youth radicalization within online environments, highlighting a proactive approach to preventing future terrorist recruitment. The investigative leads generated from Operation Shams II are already proving instrumental, supporting ongoing judicial proceedings in several participating countries, including a case involving two suspected foreign terrorist fighters currently in detention. Thousands of additional images remain to be processed, holding the potential for further significant investigative breakthroughs.

Operation Shams II stands as a testament to the power of combining international law enforcement cooperation with advanced AI-assisted analytical capabilities. María Carmen Muñoz González, INTERPOL’s Director of Counter-Terrorism, underscored the operation's success in demonstrating this potent synergy. The strategic deployment of AI in identifying foreign terrorist fighters and the sophisticated INTERPOL cryptocurrency tracing efforts mark a significant advancement in global counter-terrorism strategies.

This operational model is poised to serve as a foundational framework for future international initiatives, offering a blueprint for how AI can responsibly enhance intelligence gathering and disrupt terrorist operations worldwide. The ongoing integration of newly acquired data into INTERPOL’s systems reinforces the global commitment to dismantling terrorist networks and safeguarding international security.

Compliance officers in Nigeria should review their AML/CFT protocols, especially concerning virtual assets, given INTERPOL's enhanced AI capabilities in tracing terrorist financing. Lawyers should anticipate the use of AI-generated evidence in counter-terrorism prosecutions and consider its implications for data privacy and due process.

Source: Reporting based on INTERPOL's official statements.