Artificial intelligence stands at a crossroads of breathtaking innovation and urgent need for responsible guardrails. Every breakthrough brings questions about safety, fairness, and accountability that can no longer be afterthoughts. The European Union has responded with the AI Act – the world's first comprehensive legal framework for artificial intelligence – and its General Purpose AI Code of Practice has already secured commitments from tech giants like OpenAI, Google, Microsoft, and Anthropic.

We unpack what this means for anyone building, deploying, or investing in AI systems. The EU's risk-based approach categorizes AI into four tiers, from banned practices (social scoring, emotion detection in workplaces) to high-risk applications requiring strict oversight (recruitment, medical devices) to systems needing basic transparency. For general purpose AI models, key requirements include detailed documentation using specific templates, energy consumption reporting, comprehensive copyright compliance including respecting robots.txt opt-outs, and robust security measures.

The stakes couldn't be higher – violations can trigger fines up to €35 million or 7% of global annual turnover. This isn't just another compliance exercise; it represents a fundamental shift in how organizations must approach AI governance. We outline a practical roadmap for implementation, from urgent model inventories to establishing cross-functional AI risk councils and integrating these requirements into existing risk management frameworks aligned with standards like NIST AI RMF and ISO 42001.

Whether you're a CFO allocating budget for new compliance measures, a CRO assessing emerging risks, or a developer navigating technical requirements, this deep dive provides actionable insights to transform regulatory challenges into strategic advantages. The tension between rapid innovation and responsible deployment defines our AI future – understanding these new rules provides essential context for shaping that future wisely.

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Please contact us directly at info@wheelhouseadvisors.com or feel free to connect with us on LinkedIn and X.com.

Visit www.therisktechjournal.com to learn more about the topics discussed in today's episode.

Behind every digital business lies an invisible web of trust: the OAuth tokens silently connecting your applications. What happens when these trusted connections become your greatest vulnerability?

A sophisticated attack campaign recently exploited these connections, bypassing traditional security measures to breach major cybersecurity companies including Cloudflare, Palo Alto Networks, and Proofpoint. Rather than directly attacking primary platforms, threat actors targeted Drift's OAuth integration tokens, effectively stealing the keys that allowed them to impersonate this trusted web chat tool when connecting to enterprise Salesforce instances.

The consequences were startling. Once inside, attackers rapidly extracted thousands of support case records using Salesforce's bulk API capabilities, then deleted the logs to cover their tracks. Cloudflare later discovered 104 of their own API tokens sitting in plain text within their compromised support cases - creating potential pivot points to even more critical systems. This wasn't just a data breach; it was what experts now call the "SaaS Domino Effect" - where one compromised connection can cascade into multiple system compromises.

Not all companies suffered equally. Okta successfully blocked the attackers through one crucial defense: enforcing inbound IP restrictions on their integrations. This contrast highlights how proper integration hygiene can make all the difference between a devastating breach and a thwarted attempt.

We unpack how Integrated Risk Management (IRM) provides a comprehensive framework for addressing these structural vulnerabilities, spanning technical controls, operational processes, enterprise risk modeling, and governance policies. Our discussion includes a practical 90-day roadmap with specific actions organizations can take to protect themselves.

Examine your own digital ecosystem today. What invisible connections might be putting your organization at risk? Understanding and securing these machine-to-machine relationships isn't just an IT concern - it's a critical business imperative in our interconnected world.

Don't forget to subscribe on your favorite podcast platform—whether it's Apple Podcasts, Spotify, or Amazon Music.

Please contact us directly at info@wheelhouseadvisors.com or feel free to connect with us on LinkedIn and X.com.

Visit www.therisktechjournal.com to learn more about the topics discussed in today's episode.

Governance, Risk, and Compliance (GRC) has undergone a remarkable transformation. What was once the "department of no" – characterized by manual checklists, endless audits, and rooms full of binders – has evolved into a strategic verification backbone powering trust across organizations.

This radical shift positions GRC at the center of Integrated Risk Management (IRM), where policies, controls, and compliance data flow dynamically through organizations to provide real-time assurance. The market reflects this evolution, with GRC projected to grow from $12.1 billion in 2025 to $25.1 billion by 2032 – not as an unavoidable cost, but as a strategic investment that builds market-enhancing trust and enables bolder innovation.

The IRM Navigator™ Vendor Compass for Governance, Risk and Compliance - 2025 Edition reveals how modern GRC anchors the policies integration point within a framework organized around Performance, Resilience, Assurance, and Compliance (PRAC). Acting as an organizational immune system, GRC provides auditable evidence linking Enterprise Risk Management (ERM), Operational Risk Management (ORM), and Technology Risk Management (TRM) into a cohesive ecosystem where information flows seamlessly across previously siloed functions.

Selecting the right solution requires evaluating platforms on solution coverage and integration capabilities. Vendors fall into three categories – Integrators, Accelerators, and Pacesetters – aligned with an organization's position on the maturity curve from Foundational (manual processes) to Autonomous (AI-driven sensing with real-time assurance). Leadership perspectives have expanded beyond traditional risk leaders to include Legal, Finance, HR, and Data executives, all shaping requirements and demanding specific evidence types.

The future of GRC hinges on continuous assurance, robust AI governance, and seamless integration. Ask yourself: Is your organization still ticking compliance boxes, or building an adaptive, intelligent assurance system capable of navigating tomorrow's complex risk landscape? Transform your GRC function into the foundation of enterprise trust that empowers your organization to thrive amid uncertainty.

Don't forget to subscribe on your favorite podcast platform—whether it's Apple Podcasts, Spotify, or Amazon Music.

Please contact us directly at info@wheelhouseadvisors.com or feel free to connect with us on LinkedIn and X.com.

Visit www.therisktechjournal.com to learn more about the topics discussed in today's episode.