Page 272 - Cyber Defense eMagazine RSAC Special Edition 2025
P. 272

Key  initiatives  include  the  Open  Source  Software  Security  Roadmap  (September  2023)  from  the
            Cybersecurity and Infrastructure Security Agency (CISA) and the Request for Comment from the National
            Telecommunications and Information Administration (NTIA) (October 30, 2023).

            Both  efforts  focus  on  identifying  and  mitigating  security  risks  in  open-source  software,  helping
            government agencies distinguish between safe and potentially malicious components.



            How defense tech developers can apply these findings to open-source AI:

               •  Developers  should  aim  to  check  the  open-source  AI  component’s  Software  Bill  of  Materials
                   (SBOMs) before using this component;
               •  Developers should integrate tools that generate Software Bill of Materials (SBOMs) during the
                   build process, as these tools have deeper access to detailed and accurate data compared to
                   analysing the artifact;
               •  Developers should trace and verify the open-source AI’s dependencies provenance. Package
                   repositories like npm and GitHub (for npm-based projects) offer dedicated tooling for this purpose.
               •  Developers should verify the package repositories’ safety levels – if they at least require multi-
                   factor authentication (MFA) and allow security researchers to report vulnerabilities – key criteria
                   for Level 1 security maturity. The Principles for Package Repository Security should serve as a
                   determining  guideline  while  integrating  the  open-source  AI  components  in  defense  tech
                   proprietary products.



            Change of Shift with Change of US Administration?

            It may seem that the new U.S. Administration is shifting from the cautious open-source AI approach
            towards developing unlimited AI capabilities. However, a closer look suggests otherwise – not much has
            changed in the policy continuity. Trump Administration is doing the same as their predecessors in the
            White House – they have initiated a new Request for Information (RFI) to shape the U.S. AI Action Plan.
            They encourage the industry to provide their input on the AI policy ideas, and this is where we can learn
            from.
            One of the most noteworthy industry responses to the RFI comes from Open AI.


            In their submission, the Open AI highlights the growing security risks imposed by non-democratic AI
            increase, which are strengthened with recent attempts from EU regulators to limit the scale of AI models
            development. These approaches influence the US AI policy and, according to the Open AI statement,
            hinder innovation.

            One of the key takeaways defense tech developers can apply from this response is to verify the origin of
            the open-source software and the open foundation models they use. Some might indirectly derive from
            the  Tier  III  countries  (non-democratic  PRC)  and  introduce  elevated  cybersecurity  risks  and  national
            security concerns, particularly when it comes to defense tech applications.







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