Cloud and AI are undeniable game changers for businesses. However, both introduce complex cyber risks when combined, according to a recent risk report.
Tenable, an exposure management company that exposes and closes the cybersecurity gaps that erode business value, reputation, and trust, said in a release that cloud-based AI is prone to avoidable toxic combinations that leave sensitive AI data and models vulnerable to manipulation, data tampering, and data leakage.
The Tenable Cloud AI Risk Report 2025 highlights the current state of security risks in cloud AI development tools and frameworks, as well as in AI services offered by the three major cloud providers: Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure.
Key findings from the report include:
“When we talk about AI usage in the cloud, more than sensitive data is on the line,” said Liat Hayun, VP of Research and Product Management, Cloud Security at Tenable. “If a threat actor manipulates the data or AI model, there can be catastrophic long-term consequences, such as compromised data integrity, compromised security of critical systems and degradation of customer trust.”
She added, “Cloud security measures must evolve to meet the new challenges of AI and find the delicate balance between protecting against complex attacks on AI data and enabling organizations to achieve responsible AI innovation.”
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