Artificial intelligence is rapidly transforming compliance, but as adoption accelerates, so too do questions around governance, accountability and trust. Building effective AI governance is no longer simply about managing risk, it is also about creating the frameworks that allow firms to innovate with confidence while meeting growing regulatory expectations.
We recently spoke to Dan Nadir, chief product officer at Theta Lake, to discuss how companies can build a solid AI governance system for the coming compliance era, and what firms need to know.
Theta Lake specialises in AI-powered communications compliance and governance. Its cloud-native platform helps regulated organisations capture, archive and supervise digital communications across channels such as Microsoft Teams, Zoom, Webex and AI assistants, using machine learning to detect compliance, conduct and data security risks while supporting evolving AI governance requirements.
During this interview, discussion topics ranged from:
- The size of the AI integration gap within modern firms
- What the investigation workflow looks like for security teams
- How companies build a unified framework for dealing with AI-specific risks
- What an auditable AI interaction trail needs to look like
- How compliance teams should be thinking about their AI responsibilities
Watch the full video below here.
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