AI Governance - GRC Catalyst

AI in Pharma: Risk‑Based Innovation, Not a Compliance Time Bomb
- April 10, 2026
- Posted by: Pamela
- Category: AI Governance
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AI is already transforming pharma and biotech, but adoption is outpacing governance. This insight explores where AI genuinely adds value, where compliance risk escalates, and why a risk‑based governance approach led by senior leaders is essential to enable innovation without losing regulatory control.

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Framing the Future: Should Cyber and AI Be Standalone Strategic Risks?
- January 13, 2026
- Posted by: Pamela
- Categories: AI Governance, Governance, Risk Management, Technology and GRC Systems
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This article explores the strategic dilemma Boards face in categorising cybersecurity and artificial intelligence risks within governance frameworks. As regulatory pressure and technological complexity increase, the way these risks are “labelled” significantly impacts Board oversight.
Boards must choose between elevating cyber and AI to standalone strategic risks (increasing visibility and accountability) or integrating them as sub-risks of information governance (ensuring a holistic view of the data lifecycle).

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AI risk isn’t just internal – it’s outsourced
- December 9, 2025
- Posted by: Pamela
- Categories: AI Governance, Compliance, Governance, Risk Management, Technology and GRC Systems
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AI risks extend beyond your own organisation because third-party partners, suppliers, and vendors may embed AI into their services. This creates “shadow AI” – systems that affect your business indirectly but remain outside your direct control. You are only as safe as the AI your partners use.
Shadow AI means you are potentially exposed to regulatory penalties, data leaks, and reputational damage.

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