Global tech trade association ITI has unveiled its AI Security Policy Principles, offering detailed recommendations for policymakers to enhance the cybersecurity of AI models and systems. This initiative is particularly pertinent given the current election climate in the U.S. and worldwide.

The association's paper emphasizes that while AI introduces new risks for exploitation by malicious actors, it also provides opportunities to strengthen proactive cybersecurity measures. ITI suggests that policymakers focus on bolstering AI system security and highlights how AI can be employed to counter dynamic threats through advanced analytical tools.

"Cyber threats to AI models and systems are borderless and continuing to evolve. The tech industry urges policymakers around the globe to prioritize engagement with like-minded partners and allies to advance a common, consistent approach to AI security," stated Courtney Lang, ITI Vice President of Policy. "ITI’s new policy guide aims to give lawmakers the tools necessary to develop interoperable AI security frameworks that protect consumers, mitigate potential risks, and empower the global cybersecurity ecosystem and workforce in an AI era."

The principles outlined by ITI include leveraging existing cybersecurity practices where adequate, coordinating with international allies for a unified approach, ensuring comprehensive policies across the entire AI lifecycle, fostering public-private partnerships for achieving outcomes in AI cybersecurity, and supporting foundational research as well as training for the cybersecurity workforce.

These recommendations stem from ITI's AI Futures Initiative, utilizing insights from its members along with established best practices in global cybersecurity advancements.