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Teaching LLMs to spot malicious PowerShell scripts
Manage episode 490966948 series 2800269
Content provided by Cisco Talos. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Cisco Talos or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Hazel welcomes back Ryan Fetterman from the SURGe team to explore his new research on how large language models (LLMs) can assist those who work in security operations centers to identify malicious PowerShell scripts. From teaching LLMs through examples, to using retrieval-augmented generation and fine-tuning specialized models, Ryan walks us through three distinct approaches, with surprising performance gains. For the full research, head to https://www.splunk.com/en_us/blog/security/guiding-llms-with-security-context.html
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Manage episode 490966948 series 2800269
Content provided by Cisco Talos. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Cisco Talos or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Hazel welcomes back Ryan Fetterman from the SURGe team to explore his new research on how large language models (LLMs) can assist those who work in security operations centers to identify malicious PowerShell scripts. From teaching LLMs through examples, to using retrieval-augmented generation and fine-tuning specialized models, Ryan walks us through three distinct approaches, with surprising performance gains. For the full research, head to https://www.splunk.com/en_us/blog/security/guiding-llms-with-security-context.html
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