{"id":9048,"date":"2025-03-25T16:49:20","date_gmt":"2025-03-25T08:49:20","guid":{"rendered":"https:\/\/www.salesforce.com\/?p=9048"},"modified":"2025-03-26T18:41:10","modified_gmt":"2025-03-26T10:41:10","slug":"secure-ai","status":"publish","type":"post","link":"https:\/\/www.salesforce.com\/ap\/blog\/secure-ai\/","title":{"rendered":"Paving a Secure Path for AI \u2013 4 Key Practices to Protect Your Data"},"content":{"rendered":"\n

Imagine a future where AI agents handle routine tasks, allowing your team to focus on more strategic priorities \u2014 such as strengthening customer relationships, driving innovation, and making smarter decisions. But this isn\u2019t a vision; it\u2019s already a reality.  <\/p>\n\n\n\n

And while AI and custom apps have the potential to boost efficiency and unlock new opportunities, it\u2019s important to be aware of new risks. Sensitive data, such as personal and financial information, is often at the heart of AI-driven solutions, making protection and compliance non-negotiable.<\/p>\n\n\n\n

To realise the full potential of AI while protecting what matters most, businesses need to adopt strong AI security strategies that prioritise customer trust, ensure regulatory compliance, and strengthen overall security. Naturally, the first step in building such a strategy is understanding the common obstacles in the way of secure, trusted AI implementation.<\/p>\n\n\n\n

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Bridge Trust Gap with AI & Agents<\/strong><\/h2>\n\t\t\t\t\t\t\t

With insights from over 16,500 consumers and business buyers worldwide, learn what it takes to thrive in the AI era<\/p>\n\t\t\t\n\t\t\t\n\t\t\t\t\t\t\t

\n\t\t\t\t\tGet the guide<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\n\t\t
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Roadblocks to secure AI implementation<\/h2>\n\n\n\n

For businesses in finance, healthcare, and other regulated sectors, AI offers transformative capabilities. A finance company might use low-code tools to build an AI agent<\/a> that analyses credit scores or detects fraud, relying on sensitive transaction data. Similarly, a healthcare provider could create an AI agent<\/a> to improve patient care by analysing medical records and treatment plans. <\/p>\n\n\n\n

However, AI agents<\/a> like these shouldn\u2019t handle sensitive information without additional security and compliance safeguards. These protections are essential to shielding businesses from data protection risks and regulatory non-compliance. Here are some of the most common hurdles businesses face:<\/p>\n\n\n\n