The road to hell is paved with good intentions, and an enormous number of those intentions currently arrive in inboxes as newsletters. Get the timing wrong and they stop being information and start feeling like an invasion of someone's evening. Another item on the to do list, another thing to triage before bed. And then, inevitably, you become desensitised to the sender entirely and hit unsubscribe, not because the content was bad, but because the relationship with your inbox had already broken down long before this particular email arrived.

Here's the bit that actually annoys me. We spend a huge amount of energy worrying about deepfakes and AI-generated influence campaigns, and rightly so, but the way commercial organisations communicate with human beings was broken long before generative AI turned up to make it worse. Marketing blurbs, sales bullshit, the LinkedIn post written in the voice of nobody who has ever actually spoken aloud. We lost the human register in commercial communication years ago, and AI has simply given that existing rot a faster delivery mechanism. You don't need a large language model to write something hollow. People have been doing it unaided for decades.

So here's my own small, mildly self-destructive experiment. My target is zero unwanted AI-360 newsletters by the time England get knocked out of this World Cup, which gives me, historically speaking, a fairly generous window. I would rather lose 4%* of a database outright than continue operating on the basis that consent given once means consent forever. You give consent at a point in time, not in perpetuity, and if that costs us a slice of the list, so be it. Roughly 137 trillion emails get sent globally every year. I have no illusions about how many meaningful messages get lost somewhere in that mire. I'm doing my own small bit to stop adding to it.

AI for Leaders: Governance, Risk & Why Strategy Must Come First
Is your organisation adopting AI without a defined strategy or governance? If so, you’re not alone — and the consequences range from data breaches to reputational damage to safeguarding failures. AI is a strategic risk, not a silver bullet, and definitely not a magic data fairy. Without clear ownership, rules, and accountability, AI can proliferate across your organisation in ways that cost more — in time, money, and trust — than not using it at all. Speakers: Craig Clark, Director at Clark & Company Information Governance Services, and Stewart Tinson, Project Director, AI-360. You’ll learn: Why “understand your why” must precede any AI rollout Which risks senior leaders most commonly overlook — from data leakage to safeguarding How to measure AI value through outcomes, not adoption metrics Why accountability for AI governance sits with the C-suite, not IT or compliance Key topics: AI strategy • Risk appetite • Data protection • Bias & fairness • Safeguarding • AI literacy • Governance models • Return on investment • Executive accountability • AI use case tiering For CISOs, CIOs, and senior leaders who need to govern AI responsibly — before it governs them.

The publisher trusts me to run this thing the way I see fit, which is either a sound editorial decision or an unsupervised man with an unsubscribe button and a grudge. I'll take the risk, because here's the thing about AI-360 that I don't say often enough. So far, we've had the genuine pleasure of around fifty professionals sharing honest views on subjects they actually wanted to talk about, not a disguised sales pitch wearing the costume of thought leadership, just an adult conversation with the occasional childish interjection from me. If that counts as the foundation of something, it's because the subjects matter, not just to the security and governance crowd, but to department after department inside global organisations trying to work out what any of this means for them.

That community is built entirely on people turning up and talking honestly, which is also where I'd like more of you to come in. This isn't a call to read more of our stuff, though you're welcome to. It's a call to be part of making it: submit an article, sit down for an interview, or take a seat on a webinar panel. If one of those conversations has changed how a single lawyer, a single cyber security professional, a single governance lead thinks about a colleague's point of view, that's a fair bit of the job done, and the next voice in that room could just as easily be yours.

You're very likely reading this because you've already watched one of our interviews or webinars on the Brighttalk channel. It's 41 pieces of individual original content and counting. Five and a half hours on deepfake detection alone, a couple more on legal, and over a day and a half of continuous viewing on security and governance if you sat through the lot back to back, all of it unsponsored, unfiltered, and built by people who simply wanted to say something honest on a subject they cared about. There's room for one more voice. Possibly yours.

Rule and Reason: Why IP Law Is Losing the Battle with AI
Copyright law was built for a different world. Its rules were designed around physical property, cottage-scale copying and a clear dividing line between creator and creation. Artificial intelligence has torn up all three assumptions. Stewart Tinson speaks with Mark Sherwood-Edwards, technology lawyer and founder of Clearview Legal, about why the legal reasoning around intellectual property has become, in his word, incoherent — and why that matters to every enterprise deploying or building on AI today. They work through the landmark UK Getty Images vs Stability AI case, in which images complete with Getty watermarks were reproduced by a model trained without permission — yet no infringement was found. They examine why courts repeatedly confuse copyright with antitrust, why the EU Database Directive rewards inefficiency, and why the question of whether AI-generated work attracts copyright protection at all has produced a global split that creates real commercial risk for technology businesses. Mark’s argument, grounded in economic property theory rather than legal convention, is that copyright’s underlying purpose — protecting the investment in intellectual work so that it can be traded and exploited — is being systematically undermined. Not just by AI, but by decades of incoherent legal reasoning that conflates copying with ripping off, confuses market function with judicial assessment, and applies time-limited protection to non-rivalrous assets while granting perpetual rights to physical ones. For CLOs, general counsel, and technology executives navigating AI adoption, this is a session with real commercial edge: what are the actual IP risks when deploying AI tools, what should enterprise contracts say about data use and derived data, and where does the liability sit when an AI gives the wrong answer? Guests: Mark Sherwood-Edwards, Founder, Clearview Legal | Host: Stewart Tinson, AI-360 Online

I'm lazy, or efficient, depending on how generous you're feeling, so this also doubles as that call to arms. The overwhelming majority of you reading this are directly affected by the AI governance and security issues we cover. Your voice matters here, properly, not as a turn of phrase.

No one else is doing this quite the way we are. Not close. Nobody else has a Stew asking the occasionally stupid question in the middle of a serious conversation, which, depending on your tolerance for me, is either our unique selling point or the one thing holding the format back.

We like money. We just do things rather differently to begin with.


The 10 Billion Identity Crisis: Defending Against Industrial-Scale Deepfake and Synthetic Identity Fraud
How do you convince skeptical CFOs to invest in deepfake detection? Stewart Tinson sits down with Ofer Friedman from AU10TIX, who reveals a stark reality: 10 billion synthetic identity sets exist for sale—more than Earth’s entire population—and fraudsters now have one-click tools to weaponize them at industrial scale. You’ll learn: How to build the business case for deepfake detection with boards facing regulatory and reputational risk Why the shift from onboarding to ongoing fraud targeting existing customers is critical Which device intelligence and network signals actually work beyond visual artifact detection How to prepare for agentic AI fraud—autonomous systems that launch attacks without human intervention Why identity verification and cybersecurity are converging into unified defense strategies Key topics: The second revolution of AI fraud and fraud-as-a-service platforms • Why humans can no longer spot deepfakes reliably • Geographic attack hotspots across Americas and Asia • Real-time live session attacks as the most challenging threat • How well-crafted synthetic identities operate undetected for years • AU10TIX’s 25+ year background bringing airport security standards to digital verification • Agentic AI as the next wave of autonomous 24/7 fraud • Why annual vendor reassessment is now the minimum standard Whether you’re a CISO, fraud leader, or compliance officer navigating EU AI Act requirements, this delivers brutal honesty about the threats you’re facing—and what industrial-grade defense actually requires.

*lies, damned lies, and statistics as the saying goes. 4% read better than 'as long as a piece of string'

Share this post
The link has been copied!