AI is moving faster than most organizations can govern it, and that gap is where the real risk lives. James Briers of IDS reveals why the companies winning with AI are not the ones rushing to adopt tools, but the ones building real-time guardrails, data integrity, and auditability before things go wrong.

I talk with Briers, co-founder and CEO of Intelligent Delivery Solutions in Manchester, about what it actually takes to implement AI responsibly inside a business. IDS has spent more than 12 years helping organizations handle data migrations, integration, quality, and assurance, and now that foundation is powering GovScape, a new governance and risk platform designed for the AI era. You’ll discover:

• Why most organizations are still using AI without a clear strategy or control layer
• How agentic AI changes the risk equation by learning, adapting, and acting on its own
• Why data quality, classification, and traceability matter more than the tool itself
• How real-time auditability has to replace the old "wait six months and check later" model
• Why legal firms are among the most fascinating and competitive use cases for AI adoption

James also explains how GovScape maps against roughly 60 industry benchmarks to generate a governance score and estimate the financial cost of unmanaged risk. From shadow AI and Microsoft-stack integrations to the legal and operational consequences of autonomous systems, this conversation gets into the messy reality behind the AI hype.If you’re responsible for AI adoption, governance, compliance, risk, or digital transformation, this episode is essential listening. It’s a sharp, practical reminder that AI is not just another app - it’s a system that can amplify speed, intelligence, and exposure at the same time. I hope you enjoy it!

AI is no longer “just a tool” - it’s becoming an assistant that can build, test, and operate across your stack. Grant and John Capobianco unpack why the real shift isn’t hype, but scale: from a watch-driven agent that checks router health to a future where millions of AI identities need their own infrastructure, security, and governance. Grant brings decades of perspective from Apple-era computing, DNS, SD-WAN, and network automation, while John, Head of AI and Developer Relations at Itential, shows how fast the ground is moving with Claude Code, mobile agents, and AI-assisted app creation. Together they draw a line from the first web pages to the next wave of agent-native systems.

You'll discover:

• Why “inspect what you expect” matters even more when AI is making decisions for you
• How prompting, context, and clear instructions turn an assistant from generic to genuinely useful
• Why AI adoption will reshape jobs, but not in the simplistic “tool vs. replacement” way people assume
• The security risks of giving agents access to email, networks, and infrastructure
• Why containment, zero trust, and identity architecture need to evolve for agent-scale computing

They also tackle the big questions everyone is quietly wrestling with: Can you trust an AI to change production systems? What happens when models start to deceive? And how do organizations avoid getting left behind while only a tiny fraction of people are actually paying for and using AI at full power?This conversation is equal parts practical, provocative, and future-facing - with plenty of hard-won wisdom for network engineers, builders, security teams, and anyone trying to understand what happens when AI stops being a curiosity and starts becoming part of the operating model. Essential listening if you want the clearest signal on where the next decade of innovation is headed. I hope you enjoy it!

AI is no longer just a productivity tool - it is becoming an operational risk, a security layer, and a new kind of business identity. Ben Wilcox, CISO and CTO at ProArc, explains why the old rules for governance, auditing, and trust are breaking fast, and what leaders need to do before agents start making real decisions on their own. Ben and I unpack the shift from clicks to prompts, from deterministic software to probabilistic behavior, and from human-only workflows to environments where machine identities may outnumber people. If you are responsible for security, data, cloud costs, or AI strategy, this conversation shows why visibility and guardrails matter more than ever. You’ll discover:

• Why data governance has suddenly become a board-level priority
• How agent behavior changes the way security, logging, and audit trails must work
• Why “every click is a waste” is reshaping product design and user experience
• The hidden cost of AI usage, token spend, and why sticker shock is coming
• Why some AI use cases should be scaled back, not expanded
• How to choose the right business use case before you pilot anything at scale

Ben shares practical guidance for getting ahead of AI sprawl, including how to identify what AI is already in your environment, how to assign both business and technical ownership to an agent, and how to define the right boundaries before something breaks in production. He also breaks down why security has to enter the conversation earlier, or it becomes friction instead of an enabler. The bigger message: AI adoption is moving too fast for guesswork. If your organization wants to move quickly without creating chaos, you need standards, observability, and a clear model for trust before you scale. Essential listening for CISOs, CTOs, IT leaders, and anyone trying to turn AI from hype into durable business value. I hope you enjoy it!

In this episode I sit down with Faryam Asif, CTO at Shufti, to unpack how identity verification is evolving as agents, deepfakes, and AI-driven attacks accelerate. The conversation focuses on how Shufti verifies individuals, businesses, and transactions, and why layered security is becoming essential in regulated industries. Faryam also explains how the company is adapting to new use cases like agent verification, age estimation, and audit trail requirements.

Faryam explains how Shufti verifies individuals, businesses, and transactions across industries including financial services, healthcare, retail, gambling, social media, and crypto.

We discuss document verification, facial biometrics, live selfie and video checks, address verification, NFC-based passport verification, KYB, and AML workflows.

I raise the growing challenge of AI agents and asks how identity verification adapts when an automated agent, not just a human, is completing a workflow.

Faryam introduces the emerging concept of KYA, know your agent, and explains why the industry is shifting toward verifying the person behind the action.

We discuss how deepfakes and synthetic documents have lowered the cost and speed of fraud, making scalable attacks much easier than before.

Faryam shares how Shufti is responding with layered verification, combining document checks, facial likeness, device intelligence, behavior analysis, risk scoring, media integrity, and database checks.

The conversation explores how behavioral signals are becoming important as attackers learn to mimic human pauses and interaction patterns.

We dig into compliance, auditability, and why regulated industries now need proof of how verification happened, not just who was verified.

Faryam explains Shufti’s own technology stack, including proprietary facial liveness, document verification, OCR, transaction monitoring, KYB, AI, and ML systems.

We cover deployment options and integrations, including on-premises hosting, cloud APIs, SDKs, and plugins for platforms like WordPress, Shopify, and Okta.

Faryam also discusses Shufti’s global footprint, compliance posture, and use cases such as facial age estimation for social media and adult-content restrictions.

I hope you enjoy it!