Resolute Islands News

  By the Resolute Islands News Business Desk Professor Kai London — CISO, cybersecurity & AI expert. Credit: professorkailondon.com Organisations everywhere are running promising AI pilots that never make it into production. The reason, says Professor Kai London , a senior technology executive, is rarely the model. “Most enterprise AI dies at an invisible gate, when a regulator, an auditor or a major customer asks the question that ends the project: can you prove you control it?” “The demo works. The enterprise fails. The gap between a clever prototype and a governed production system is where most AI investment goes to die.” Five ways pilots die London catalogues the pattern: no clear owner; no evidence trail; data governance as an afterthought; unaddressed security and misuse risks; and no operating model to run the system safely. “Each is survivable,” he says. “Together, they stop the launch.” Discover, govern, operationalise His path from prototype to production: discover w...

  By the Resolute Islands News Technology Desk Professor Kai London — board advisor & interim CISO/CIO/CTO. Credit: professorkailondon.com Amid all the attention on human passwords and phishing, Professor Kai London , a senior CISO, points to a quieter and faster-growing danger. “The fastest-growing and worst-controlled class of identity in almost every organisation is not human,” he says. “It is machines — service accounts, API keys, automation — and now AI agents that can act on their own.” “Every AI agent you deploy is a login with real reach. It needs an identity, a boundary, monitoring and a kill-switch — exactly like a privileged human user, only faster and at greater scale.” The invisible workforce London notes that machine identities typically outnumber human ones many times over, and are often granted broad, standing privileges that nobody reviews. “They were set up to make systems work, not to be governed,” he says. “That is precisely the problem.” AI agents change th...