Here's how you can prepare for trusted generative AI

The success of generative AI comes down to just one thing — trust.

AI is transforming the way we work, and tackling business's biggest challenges. Generative AI is helping organizations maximize the full potential of their data.

Al's capabilities are revolutionary, but without the right processes and safeguards in place, can be detrimental. Because of this potential impact, if your organization is going to adopt generative AI, you must identify and address potential risks. Then, build a trusted foundation to ensure AI is being used safely, reliably, and ethically.

These are the steps you can take to build a foundation for trusted generative AI:

1. Audit your data. Conducting an audit of your data will help you understand where protections are needed so you can take the necessary precautions.
2. Set up privacy protections. As the dependence on AI grows for comprehending data and making decisions, it’s important to prioritize data protection, especially for PII.
3. Secure access to your data. Implement controls to protect customer data from potential misuse. These controls will help ensure your AI integrations stay within the bounds of the data you want to use and protect it from unauthorized access.
4. Test processes. Testing in a sandbox environment serves two key purposes: testing AI processes and training employees on using AI safely and responsibly.
5. Back up data. Backing up your data helps make sure those mistakes don’t become irreversible. Once your data is backed up, it can be restored to its state before the AI system impacted it.
6. Monitor processes. Regular audits and reviews of AI integration processes and access logs can help identify deviations or potential security risks.

Explore these steps, challenges and opportunities with generative AI, and success stories in the Trusted Generative AI report.

Additional reading to build and secure your AI-powered apps

Accelerate App Dev on Salesforce. Struggling to keep up with development demands? You're not alone — 88% of IT professionals feel like they're falling behind. Watch this on-demand webinar on how to deliver exceptional applications efficiently with the Einstein 1 Platform's app dev tools and frameworks.

Data Privacy Best Practices in 2024. It's better to be proactive rather than reactive when it comes to your data. Here are 5 data privacy best practices for building customer trust.

Build Apps Fast with Salesforce . In this Trailhead Trail, learn how to build social and mobile apps with either clicks or code.

Protect Customer Trust with Digital Sovereignty. Enable your customers to have control of their data, while also protecting it.

Coming soon...

• July 16: How DPD Uses Low Code to Build Apps Fast on the Einstein 1 Platform
• July 30: Data Cloud in Sandboxes: Build and Test Data Cloud Safely
• September 17-19: Dreamforce , the largest and most trusted AI event of the year