
Sign up to save your podcasts
Or


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
By Cisco Talos4.9
1313 ratings
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

2,004 Listeners

6,025 Listeners

372 Listeners

372 Listeners

652 Listeners

1,027 Listeners

318 Listeners

417 Listeners

8,068 Listeners

177 Listeners

315 Listeners

187 Listeners

73 Listeners

140 Listeners

44 Listeners