70 percent of organizations see AI as the biggest data risk

"Insider risk is no longer just about people. It is also about automated systems that have been trusted too quickly. AI is shifting from a tool to a trusted insider with broad access to company data, often with less control than applies to human users."

"Data visibility lags behind AI adoption. Only 34 percent of organizations know where all their data is located, and only 39 percent can fully classify it. Meanwhile, nearly half (47 percent) of sensitive cloud data remains unencrypted and compromised."

"Credential theft remains the top attack technique on cloud management infrastructure, according to 67 percent of organizations that have experienced cloud attacks. At the same time, 50 percent consider secrets management one of their top application security challenges."

"Although 30 percent now set aside specific budgets for AI security, the majority (53 percent) still rely on traditional security programs designed primarily for human users and perimeter security."

Organizations are rapidly adopting AI across workflows, analytics, and development pipelines, but this integration creates significant security gaps. Only 34% of organizations know where all their data is located, and 47% of sensitive cloud data remains unencrypted. Credential theft remains the top attack technique on cloud infrastructure. Simultaneously, attackers exploit AI through deepfakes and disinformation campaigns, with 60% of companies reporting AI-based attacks. Human error already causes 28% of data breaches, and automation amplifies these errors at scale. Despite these risks, only 30% of organizations budget specifically for AI security, with most relying on traditional security programs designed for human users rather than automated systems.

Read at Techzine Global