Week 3

New risks that are harder to discover

The integration of AI within the day-to-day activities of your organisation will have brought about a multitudeof benefits, including enhanced speed of output, quality of insight, and team productivity efficiencies.

However, the risks associated with the use of AI aren’t as easily discernible. Your employees are now able to type, paste, and upload highly sensitive information into AI queries in a manner that would normally be beyond the purview of traditional governance structures. This creates new risks that are harder to discover, difficult to prove, and costly to fix after the fact.

For the senior leadership of your business, the challenge has now shifted from whether AI is being used to whether that usage is being done in a safe and sound manner in line with regulatory requirements.

The importance of clarity

The implementation of a proper governance structure will give you clarity on what tools are being used, where the highest volume of AI activity is, and what types of data are being shared with those tools. By doing this, you’ll be able to set up proper guardrails around the sharing of personal or commercially sensitive information to mitigate the risk of that information leaving your business while still allowing your teams to leverage the productivity gains that several of the AI tools offer.

The result will give you fewer incidents, fewer hours spent on investigations and remediation, improved audit readiness, and a position of strength with both regulators and customers. Most importantly, it will allow your organisation to safely leverage the benefits of AI, while still doing so with no unnecessary exposure.

Here’s a handy brochure put together by Core to Cloud about how they, with technology vendor Harmonic, address this.

The challenge organisations face

AI tools are being adopted rapidly across business teams, often outside of formal security or governance frameworks. In many organisations, employees are using public or embedded AI tools as part of everyday workflows, without clear visibility into what data is being shared or whether that usage aligns with regulatory and contractual obligations.

As a result, leadership teams often lack a clear view of AI-driven data risk across the organisation.

The challenge organisations face
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