New Five Part Series | Episode 3: AI at Sea: When Confident Machines Quietly Increase Risk
Artificial intelligence is rapidly finding its way onto ships at sea, from collision avoidance and route optimization to predictive maintenance and decision‑support tools.
But when machines speak with confidence, do we always know when to challenge them?
In this episode of the ShorelineHudson Maritime Risk Podcast – Cequra Mini Series, Captain Thomas Brown is joined by Andrew Saly, Co‑Founder and CEO of Cequra, to explore the real‑world promise and peril of AI at sea. Together, they unpack where AI is already being deployed onboard vessels, how automation bias can quietly erode human judgment, and why “confident” answers based on uncertain assumptions may be more dangerous than no answer at all.
This is a practical, experience‑driven discussion on why guardrails, offline resilience, visible failure modes, and crew training matter and why, despite powerful new tools, the master must always remain in command.
About the contributors
Andrew Sallay
CEO & Co-Founder at CequraCEO & Co-Founder at Cequra, a deep-tech security company protecting mobile industrial assets from cyber-enabled physical threats.
My Background: Entrepreneur → private equity Investor/financier → maritime cybersecurity. Led offshore installations for Fortune 500s and national oil companies; raised capital across the capital structure.
My Passion: Driven to build consequential products, and to help diverse, cross-cultural teams do the best work of their careers.
New Five Part Series | Episode 2: GNSS Degradation Emerges as Critical Threat to Modern Navigation – The Invisible Cyber Risk at Sea
New Five Part Series | Episode 1: Quiet Drift – The Invisible Cyber Risk at Sea
