Publication Peer Review

Data Security within AI Environments
Open Until: 08/29/2025
AI’s demand for large and diverse datasets introduces significant cybersecurity risks across the entire data lifecycle. As organizations adopt AI for automation and insights, it is critical to address vulnerabilities in data collection, storage, and processing to ensure systems remain secure, compliant, and trustworthy.
Contribute to Peer Review
Peer Review AgreementBy participating in this peer review, you acknowledge and agree to the following:
- Your name will be included as a reviewer only if you provide substantive feedback (e.g., content, clarity, accuracy). Feedback limited to grammar, syntax, or formatting will not qualify for acknowledgement.
- CSA's authors will have final descretion over which suggestions are incorporated into the document. Not all feedback will be implemented.
- You will not plagiarize or submit unmodified AI-generated text. If using AI-generated content, you must apply your expertise to refine, reformat, or integrate it meaningfully into the document.
Open Until: 08/29/2025