MIT-Based AI Apps Startup Aims to Block Supply Chain Attacks with Advanced Cybersecurity

A MIT-based startup, Ikigai Labs, aims to address the rising number of supply chain-directed ransomware attacks plaguing manufacturers. Such attacks have set records across every manufacturing sector, with attackers demanding ransoms equal to the amount of cyber-insurance coverage a victim organisation has. In an interview with VentureBeat, Dr. Devavrat Shah, co-CEO at Ikigai Labs, outlines how the company’s AI Apps platform can help alleviate such threats by using large graphical models (LGMs) and expert-in-the-loop (EiTL). The approach enables real-time inputs from experts to refine the machine learning and AI models, thereby maximising AI-driven insights and expert knowledge. Ikigai Labs’ AI Apps are currently being used for supply chain optimisation, retail, insurance, financial services, banking and manufacturing. The technology also allows for enforcing least privileged access and auditing every session where an identity connects with a resource, two core elements of zero-trust security.