This episode is a bit scary.  Adrian Sanabria, who on an earlier show busted many cybersecurity myths, is back again, this time analyzing the impact of Large Language Model Artificial Intelligence on a hypothesized skills gap on the bad guy side.
Premise One: Given how many organizations that are vulnerable and that have NOT been breached, the bad guys are suffering the same skills gap we are.
Premise Two: Exploit attacks (think of exploits as ransomware, data hostage situations, threats to publish breached data, etc.) can benefit from LLM AI.
It's really that simple a connecting of the dots.  Adrian and Allan deconstruct the steps of an exploit attack, analyze the capabilities of LLM AI and cross-reference the two.
If they are right, then we have a burden of leveraging and learning LLM AI ourselves, as quickly as possible...
Sponsored by our good friends at Dazz:
Dazz takes the pain out of the cloud remediation process using automation and intelligence to discover, reduce, and fix security issues—lightning fast. Visit <a href='http://dazz.io/demo'>Dazz.io/demo</a> and see for yourself.

This episode is a bit scary.  Adrian Sanabria, who on an earlier show busted many cybersecurity myths, is back again, this time analyzing the impact of Large Language Model Artificial Intelligence on a hypothesized skills gap on the bad guy side.
Premise One: Given how many organizations that are vulnerable and that have NOT been breached, the bad guys are suffering the same skills gap we are.
Premise Two: Exploit attacks (think of exploits as ransomware, data hostage situations, threats to publish breached data, etc.) can benefit from LLM AI.
It's really that simple a connecting of the dots.  Adrian and Allan deconstruct the steps of an exploit attack, analyze the capabilities of LLM AI and cross-reference the two.
If they are right, then we have a burden of leveraging and learning LLM AI ourselves, as quickly as possible...
Sponsored by our good friends at Dazz:
Dazz takes the pain out of the cloud remediation process using automation and intelligence to discover, reduce, and fix security issues—lightning fast. Visit <a href='http://dazz.io/demo'>Dazz.io/demo</a> and see for yourself.

thecyberranchpodcast.podbean.com/2deb9474-d66f-3874-a57b-c6285d17925a

This episode is a bit scary.  Adrian Sanabria, who on an earlier show busted many cybersecurity myths, is back again, this time analyzing the impact of Large Language Model Artificial Intelligence on a hypothesized skills gap on the bad guy side.
Pre...

This episode is a bit scary.  Adrian Sanabria, who on an earlier show busted many cybersecurity myths, is back again, this time analyzing the impact of Large Language Model Artificial Intelligence on a hypothesized skills gap on the bad guy side.
Premise One: Given how many organizations that are vulnerable and that have NOT been breached, the bad guys are suffering the same skills gap we are.
Premise Two: Exploit attacks (think of exploits as ransomware, data hostage situations, threats to publish breached data, etc.) can benefit from LLM AI.
It's really that simple a connecting of the dots.  Adrian and Allan deconstruct the steps of an exploit attack, analyze the capabilities of LLM AI and cross-reference the two.
If they are right, then we have a burden of leveraging and learning LLM AI ourselves, as quickly as possible...
Sponsored by our good friends at Dazz:
Dazz takes the pain out of the cloud remediation process using automation and intelligence to discover, reduce, and fix security issues—lightning fast. Visit Dazz.io/demo and see for yourself.

Will LLM AI Close The Bad Guys’ Skills Gap?  with Adrian Sanabria

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