EP168 Beyond Regular LLMs: How SecLM Enhances Security and What Teams Can Do With It
Description
Guests:
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Umesh Shankar, Distinguished Engineer, Chief Technologist for Google Cloud Security
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Scott Coull, Head of Data Science Research, Google Cloud Security
Topics:
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What does it mean to “teach AI security”? How did we make SecLM? And also: why did we make SecLM?
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What can “security trained LLM” do better vs regular LLM?
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Does making it better at security make it worse at other things that we care about?
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What can a security team do with it today? What are the “starter use cases” for SecLM?
- What has been the feedback so far in terms of impact - both from practitioners but also from team leaders?
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Are we seeing the limits of LLMs for our use cases? Is the “LLM is not magic” finally dawning?
Resources:
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“How to tackle security tasks and workflows with generative AI” (Google Cloud Next 2024 session on SecLM)
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EP136 Next 2023 Special: Building AI-powered Security Tools - How Do We Do It?
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Secure, Empower, Advance: How AI Can Reverse the Defender’s Dilemma?
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Considerations for Evaluating Large Language Models for Cybersecurity Tasks
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Conference on Applied Machine Learning in Information Security
United States
