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Risky Bulletin

RBTALKS5: How Pfizer uses AI to detect insider risk

Dec 20, 2024
Brian A. Coleman, Senior Director for Insider Risk at Pfizer, dives into the transformative role of AI in enhancing insider risk detection. He discusses how AI can identify unauthorized handling of sensitive documents and the subtle movements of data that pose risks. Coleman highlights the development of a tailored AI tool that minimizes false positives and improves incident response. He also addresses the blend of automation with human oversight needed for effective risk management, showcasing innovative strategies to protect valuable corporate information.
22:30

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Podcast summary created with Snipd AI

Quick takeaways

  • Pfizer's AI-driven system enhances insider threat detection by categorizing documents, empowering analysts to focus on relevant data efficiently.
  • The integration of language models with traditional DLP methods allows Pfizer to proactively identify risks and improve incident response times.

Deep dives

Utilizing AI for Document Categorization

Pfizer has developed an AI-driven system to enhance the speed and efficiency of document analysis related to insider threat cases. This system employs language models to categorize various types of documents, such as HR documents and pay stubs, helping analysts focus on relevant data without needing extensive expertise in scientific processes. By summarizing documents, the AI solution enables analysts to present business owners with a clearer picture of incidents, avoiding the need to sift through thousands of documents. This detailed categorization assists in more intelligent decision-making and significantly reduces the risk of overlooking critical information.

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