Navigating the Waters of AI: Safeguarding Against Data Security Risks

To avoid data security risks associated with AI, organizations should understand and evaluate their data sources, implement strong encryption, adopt federic learning, regularly update and patch AI systems, and restrict access to these systems. Regular security audits, personnel training, and compliance with privacy regulations are also essential. This proactive approach will protect sensitive information and build trust in the AI-driven landscape.