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A new report highlights growing anxieties among organizations regarding the data security challenges posed by artificial intelligence and quantum computing. The explosive growth of generative AI, with its associated concerns about data integrity and trustworthiness, is a major driver of this unease. The rush to implement generative AI solutions often outpaces security preparedness, potentially introducing significant vulnerabilities. While investment in AI-specific security tools is increasing, ensuring data quality and grappling with the inherent complexity of AI remain obstacles. Quantum computing presents a different, longer-term threat, primarily concerning the potential to break current encryption methods and expose key distribution vulnerabilities. While organizations are exploring post-quantum cryptography, trust in available solutions is a hurdle. Experts emphasize that addressing these dual threats demands a proactive focus on robust data security practices, advanced technological capabilities, and the establishment of a secure foundation for the future of data protection.