A series of recent reports highlight growing cybersecurity risks associated with artificial intelligence (AI) in 2025. Veracode's 2025 GenAI Code Security Report found that AI large language models generated insecure code in nearly half of tested tasks, raising concerns about software vulnerabilities. IBM's 2025 Cost of a Data Breach Report reveals that AI adoption is outpacing AI security and governance efforts, with only 34% of organizations conducting audits for AI misuse. This lack of oversight contributes to higher costs and increased risks of data breaches in the U.S., which have reached an all-time high. Additionally, attackers are leveraging generative AI to execute more sophisticated cyberattacks, compressing attack lifecycles from days to minutes, according to Palo Alto Networks' Srinivas Avasarala. Industry experts also emphasize the need to modernize identity defense and address challenges such as alert fatigue and data overload in traditional security information and event management (SIEM) systems. Gartner's 2025 Magic Quadrant highlights AI-driven trends in endpoint security, underscoring the evolving threat landscape as enterprises face new classes of AI-enabled cyber threats.