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A recent report by Tenable reveals that 70% of cloud workloads utilizing AI services have unresolved vulnerabilities. This alarming statistic underscores the risks associated with cloud-based AI, which can lead to data manipulation and leakage. The report emphasizes the need for organizations to address these vulnerabilities to protect sensitive AI data and models.
The report also identifies specific vulnerabilities, such as CVE-2023-38545, found in 30% of cloud AI workloads. It highlights the dangers of data poisoning and the importance of securing AI training data, particularly for services like Amazon Bedrock. Organizations are urged to implement robust security measures and governance to mitigate risks associated with Shadow AI, where employees use unsanctioned AI tools.
• 70% of cloud AI workloads have unresolved vulnerabilities, according to Tenable.
• CVE-2023-38545 vulnerability found in 30% of cloud AI workloads.
Cloud AI refers to artificial intelligence services hosted on cloud platforms, which can introduce security risks.
Data poisoning involves manipulating training data to skew AI model results, posing significant risks.
Shadow AI refers to unauthorized use of AI tools by employees, which can lead to security vulnerabilities.
Tenable is an exposure management company that focuses on identifying and mitigating cybersecurity risks, including those in cloud AI.
Amazon provides cloud services, including Amazon Bedrock, which are highlighted for their potential security vulnerabilities in AI workloads.
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