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    IBM ThinkMonday, August 3, 2026 3 min read
    IBM Consulting

    GPT-Red: Can AI red teams stop prompt injections?

    This IBM Security Intelligence podcast episode (episode 43) examines whether AI-powered red teams can effectively defend against prompt injection attacks targeting large language models. The discussion covers GPT-Red, an approach in whic…

    This IBM Security Intelligence podcast episode (episode 43) examines whether AI-powered red teams can effectively defend against prompt injection attacks targeting large language models. The discussion covers GPT-Red, an approach in which AI systems are used to adversarially test other AI systems for prompt injection vulnerabilities before deployment. The episode also addresses scam-detection tools designed to counter AI-enabled fraud, and touches on the cybersecurity skills gap as organizations struggle to staff AI threat management functions. The content is operationally focused on enterprise AI security practitioners rather than C-suite financial or data strategy audiences.

    Key takeaways
    • 01This IBM Security Intelligence podcast episode (episode 43) examines whether AI-powered red teams can effectively defend against prompt injection attacks targeting large language models.
    • 02The discussion covers GPT-Red, an approach in which AI systems are used to adversarially test other AI systems for prompt injection vulnerabilities before deployment.
    • 03The episode also addresses scam-detection tools designed to counter AI-enabled fraud, and touches on the cybersecurity skills gap as organizations struggle to staff AI threat management functions.
    • 04The content is operationally focused on enterprise AI security practitioners rather than C-suite financial or data strategy audiences.

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