MACN welcomes its first classification society members: ABS, DNV and RINA
At its General Assembly on 30 April 2026, members of the Maritime Anti-Corruption Network (MACN) voted in favor of opening MACN membership to classification societies. Following this decision, MACN is pleased to welcome ABS, DNV, and RINA as the first classification societies to join the network. Strengthening integrity across the maritime value chain The maritime ...
On 30 April 2026, the Maritime Anti-Corruption Network (MACN) held its General Assembly, during which members voted to permit classification societies to join the network. In response, MACN welcomed ABS, DNV, and RINA as its first classification society members. This decision aims to enhance integrity across the maritime value chain, given the industry's complexity driven by geopolitical shifts, trade patterns, and vessel ownership changes.
Classification societies play a crucial role throughout a vessel's lifecycle, including design, construction, maintenance, surveys, and certification, directly supporting safety, compliance, and trust in international shipping. By admitting these societies, MACN strengthens its representation of the industry and fosters better information sharing, collective responses to corruption risks, and consistent standards.
Cecilia Müller Torbrand, MACN's CEO, highlighted the importance of classification societies in safeguarding standards and creating a stronger network. The expanded membership reflects the interconnected global shipping industry and the need for collaboration across different sectors. ABS, DNV, and RINA, as leading classification societies, will provide extensive technical expertise and global reach to MACN.
They will contribute valuable insights to the network's collective efforts, focusing on integrity, transparency, and responsible business practices. Each society emphasized their commitment to addressing corruption risks and advancing industry-wide solutions through their membership.
Written by urgent.news from Hellenic Shipping News's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.