The risks keeping CFOs up at night aren't new. But the way they connect, accelerate, and amplify each other is. In the final episode of their three-part GRC series, Embark's Adam Olsen and Managing Director Allison Bradshaw break down the risk landscape organizations are navigating right now, and what it actually takes to get ahead of it.

In this episode:

• AI governance frameworks: how to build tiered oversight proportional to risk, from chatbots to credit decisions, without slowing down adoption
• The "black box" problem: why explainability and transparency are now regulatory expectations, not just best practices
• Cybersecurity as enterprise risk: how to reframe board conversations around cyber exposure and what ransomware preparedness actually requires
• Identity, access, and the human element: why phishing remains the most common attack vector and what effective security culture looks like beyond annual training
• Data privacy in a fragmented regulatory environment: GDPR, CCPA, and the state-by-state patchwork, plus why privacy and cybersecurity programs are stronger when built together
• Third-party and vendor risk: how to apply a risk-based approach across a complex vendor ecosystem, including fourth-party exposure and ESG considerations in the supply chain
• The regulatory change problem: AI regulation, SEC cyber disclosure rules, ESG reporting requirements, and how to build compliance capabilities that don't start from scratch every time
• Why integrated risk management isn't optional: how AI, cyber, privacy, and regulatory risks connect in ways siloed functions will always miss

To connect with Allison or learn more about how Embark approaches GRC, visit embarkwithus.com.

Most GRC functions were built a decade ago in response to SOX or a single risk event. The world has changed. The function often hasn't. In this episode, Embark's Adam Olsen is joined by Managing Director Allison Bradshaw to break down what it actually takes to modernize governance, risk, and compliance for the environment organizations are operating in today.

In this episode:

• Why siloed GRC functions create blind spots, audit fatigue, and hidden costs that far exceed what shows up on a budget line
• What an integrated GRC model looks like in practice: common risk taxonomy, shared technology, and coordinated activities across all three lines of defense
• How to make the business case for modernization, including the 20 to 30 percent cost reduction organizations typically see when duplication is eliminated
• Technology enablement beyond the platform: continuous controls monitoring, workflow automation, and real-time integration with your ERP and source systems
• How modern GRC transforms SOX from a seasonal sprint into a year-round process, with a real-world example of an $800K compliance budget getting restructured
• Where AI fits into GRC today: risk identification, anomaly detection, and compliance monitoring, plus the governance frameworks organizations need to manage AI as a risk in its own right
• What a risk-intelligent culture actually looks like, and why most GRC transformations fail on culture long before they fail on technology
• How to start without boiling the ocean: practical guidance on sequencing a GRC modernization roadmap

To connect with Allison or learn more about Embark's GRC maturity assessment, visit embarkwithus.com.

Most internal audit functions are still operating like it's 2010. In the first episode of Embark's new GRC series, Adam Olsen is joined by Allison Bradshaw, Principal and head of Embark's GRC and Internal Audit Services practice, to make the case for a fundamentally different model. The conversation covers what modern IA looks like, how to build the right delivery structure, and how CFOs can measure real return on investment.

In this episode:

• Why compliance-checkbox IA is leaving significant value on the table, and what a risk-based, consultative function looks like instead
• Co-sourcing vs. outsourcing: a practical framework for deciding which model fits your organization's size, complexity, and risk profile
• How data analytics and AI are shifting IA from sampling transactions to testing entire populations in near-real time
• The emerging demand for IT audit, cybersecurity, and AI governance capabilities, and why most teams can't hire for all of it
• A framework for measuring IA ROI: prevented costs, recovered value, process improvements, and stakeholder confidence
• A real-world co-sourced engagement example where a single year yielded over $1.6M in identified losses and fraud