<ul><li>As AI becomes more accessible, small to medium businesses are looking to integrate it for efficiency and growth.</li><li>Data security is crucial for AI systems as compromised data can lead to unreliable decisions and compliance breaches.</li><li>ACSC advises securing the entire AI lifecycle from development to operations by verifying data sources and using secure infrastructure.</li><li>Best practices include encrypting data, using digital signatures, tracking data provenance, storing data securely, deploying on trusted infrastructure, and monitoring for risks like data chain attacks, data poisoning, and data drift.</li></ul>

Embracing AI Securely: What MSP Customers Need to Know About AI Data Security

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