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OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

Red teaming has become the go-to technique for iteratively testing AI models to simulate diverse, lethal, unpredictable attacks.

Defining testing scope and teams: Drawing on subject matter experts and specialists across key areas of cybersecurity, regional politics, and natural sciences, OpenAI targets risks that include voice mimicry and bias. Making sure insights translate into practical and long-lasting mitigations: Once red teams log vulnerabilities, they drive targeted updates to models, policies and operational plans — ensuring security strategies evolve in lockstep with emerging threats. OpenAI’s recent papers show why a structured, iterative process that combines internal and external testing delivers the insights needed to keep improving models’ accuracy, safety, security and quality.

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