AI is possibly the buzziest word these days, and it is also one of the most pressing issues for the security community. Its influence demands our attention, which is why we at Cloudflare wrote this guide to help you think through secure Generative Artificial Intelligence (GenAI) experimentation in your organization.

AI tools are rapidly becoming more powerful and accessible, unlocking opportunities for innovations across industries. However, as with other paradigm-shifts, GenAI comes with unique security, privacy, and compliance challenges. Widespread GenAI adoption can trigger unforeseen usage spikes, instances of user abuse, malicious behaviors, and hazardous shadow IT practices, all increasing the risk of data breaches and sensitive information leaks.

As adoption expands in your workplace, you need to prepare with a GenAI blueprint that informs how to use, build, and secure at scale. Let’s discuss the risks and review tips your team can use for securing GenAI based on maturity levels and usage. With these strategies, your organization can create a GenAI strategy that fits the needs of the business while protecting your data and ensuring compliance.

 
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