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Witnesses urge red-teaming, shared datasets and secure-by-design standards for AI used in government systems
Summary
Witnesses told the House subcommittee that red teaming, transparency about training data, common benchmarks and secure-by-design practices are essential for trustworthy AI in federal systems and for enabling agencies to assess products without exposing sensitive data.
Witnesses before the House Homeland Security Subcommittee recommended a coordinated program of red teaming, shared benchmark datasets, and secure-by-design requirements to help federal agencies and private-sector customers evaluate AI security without exposing sensitive production data.
Jonathan Danbrodt, CEO of Cranium, described his company’s red‑teaming platform, saying it allows developers to “pull [a system] into a place where we can simulate that system, attack it, provide vulnerability mitigation support, and then make sure that…
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