Anthropic’s red team methods are a needed step to close AI security gaps

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AI red teaming is proving effective in discovering security gaps that other security approaches can’t see, saving AI companies from having their models used to produce objectionable content.

Anthropic released its AI red team guidelines last week, joining a group of AI providers that include Google, Microsoft, NIST, NVIDIA and OpenAI, who have also released comparable frameworks.

The goal is to identify and close AI model security gaps

All announced frameworks share the common goal of identifying and closing growing security gaps in AI models.

It’s those growing security gaps that have lawmakers and policymakers worried and pushing for more safe, secure, and trustworthy AI. The Safe, Secure, and Trustworthy Artificial Intelligence (14110) Executive Order (EO) by President Biden, which came out on Oct. 30, 2018, says that NIST “will establish appropriate guidelines (except for AI used as a component of a national security system), including appropriate procedures and processes, to enable developers of AI, especially of dual-use foundation models, to conduct AI red-teaming tests to enable deployment of safe, secure, and trustworthy systems.”

NIST released two draft publications in late April to help manage the risks of generative AI. They are companion resources to NIST’s AI Risk Management Framework (AI RMF) and Secure Software Development Framework (

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