As organisations increase their use of AI, security and governance can quickly become a concern. But putting the right controls in place doesn’t have to mean slowing down adoption.
In this on-demand webinar, HAYNE.cloud and BloomAI explore how organisations can introduce practical guardrails that protect data, manage risk and support responsible AI adoption, while still enabling employees to make effective use of the technology.
The session looks at some of the most common risks organisations face, including sensitive data exposure, unapproved or shadow AI, and a lack of transparency around AI-supported decisions.
You’ll also hear how organisations can build governance around their existing security foundations, rather than treating AI security as an entirely new challenge. The webinar explores frameworks including ISO 27001, ISO 42001, the NIST AI Risk Management Framework, GDPR and the EU AI Act, alongside practical considerations for applying them.
Watch the webinar to learn:
- The key security, privacy and compliance risks associated with AI adoption
- How to create an AI governance approach aligned with business objectives
- How to match the level of governance and control to the risk of each AI use case
- The importance of permissions, approved tools, auditability and human oversight
- How existing Microsoft capabilities such as Purview, SharePoint and Defender can support safer AI adoption
- Practical first steps for introducing AI without creating unnecessary barriers
The transcript supports that risk-based approach especially strongly: lower-risk uses may only need approved tools and a general policy, while higher-risk use cases such as hiring, credit checking or decisions involving personal data require much stronger assessment, documentation and oversight.
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