Cloud Security Podcast by Google EP168 Beyond Regular LLMs: How SecLM Enhances Security and What Teams Can Do With It
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Apr 15, 2024 Join Umesh Shankar and Scott Coull as they discuss teaching AI security, the benefits of security-trained LLMs, the practical applications for security teams, and the feedback on impact. Explore the limitations of LLMs for security tasks and the importance of task-specific training. Delve into using cloud audit logs for anomaly detection and the challenges of intelligent summarization in the security context.
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SecLM's Purpose
- General-purpose LLMs often struggle with security tasks due to training data limitations and safety restrictions.
- They avoid sensitive topics like malware analysis, sometimes advising users to consult professionals.
Security Personas and LLM Alignment
- Security professionals, unlike the average user, have varying preferences for LLM interactions.
- Threat intel analysts prefer nuanced outputs, while SOC analysts need concise, actionable advice.
SecLM Architecture
- SecLM isn't just a model; it's a system using multiple LLMs, other ML models, and reasoning capabilities.
- It routes tasks to the best-suited component, optimizing performance for various security needs.