Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In the complex ecosystem of financial services, some of the greatest threats come from within. While cybersecurity for financial institutions often focuses on external threat actors, the reality is that insider risks—whether intentional or accidental—pose an equally dangerous challenge to regulatory compliance and organizational integrity.

This piece is part of a monthly series by Carisa Brockman and Bindu Sundaresan exploring the evolving world of AI governance, trust, and responsibility. Each month, we look at how organizations can use artificial intelligence safely, thoughtfully, and with lasting impact.

The rise of disruptive technologies, shifting consumer expectations, and global economic trends highlight the need for businesses to adopt a new approach. Enter Governance 2.0, the future of corporate leadership. It represents a paradigm shift in how businesses are guided and governed. It’s not just about adhering to regulations and maximizing shareholder value anymore. It’s about embracing transparency, diversity, and stakeholder engagement.

Executives everywhere are under pressure to deploy AI fast — but our recent roundtable on AI risk, hosted by TEISS, revealed a growing concern: AI adoption is outpacing governance, and organisations are taking on more risk than they realise. While most enterprises have mature technical controls, many are missing visibility into how AI is being used — and by whom.