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Home H2OSecCon 2026 (TLP:CLEAR) Best Practices for Securing Data Used to Train & Operate AI Systems
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(TLP:CLEAR) Best Practices for Securing Data Used to Train & Operate AI Systems

TLP:CLEAR

Author: Chase Snow

Created: Thursday, May 29, 2025 - 15:11

Categories: Cybersecurity, Federal & State Resources, Security Preparedness

Summary: Last week, CISA and other federal and international partners released a joint cybersecurity information sheet on AI Data Security: Best Practices for Securing Data Used to Train & Operate AI Systems. This information sheet highlights the critical role of data security in ensuring the accuracy, integrity, and trustworthiness of AI outcomes. It outlines key risks that may arise from data security and integrity issues across all phases of the AI lifecycle, from development and testing to deployment and operation. 

Analyst Note: As advancements in AI technology continue to accelerate, members are encouraged to follow the latest information on AI trends and standards. This information sheet can be used as a supplement to the DHS framework released in November titled “Roles and Responsibilities Framework for Artificial Intelligence in Critical Infrastructure,” which recommendations similarly apply to all entities at each layer of the AI supply chain including critical infrastructure owners and operators.

Original Source:https://media.defense.gov/2025/May/22/2003720601/-1/-1/0/CSI_AI_DATA_SECURITY.PDF

Additional Reading:

  • New Best Practices Guide for Securing AI Data Released
  • DHS Unveils Framework for the Safe and Secure Deployment of AI in Critical Infrastructure

Related WaterISAC PIRs: 6, 6.1, 11

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