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Ep. 171 Looking at Generative AI & Cybersecurity from a Global Perspective.

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Manage episode 447074281 series 3610832
コンテンツは The Oakmont Group and John Gilroy によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、The Oakmont Group and John Gilroy またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal

Want to make the most out of your next podcast appearance? https://content.leadquizzes.com/lp/fk1JL_FgeQ

Connect to John Gilroy on LinkedIn https://www.linkedin.com/in/john-gilroy/

Want to listen to other episodes? www.Federaltechpodcast.com

= = =

Fortinet’s Jim Richberg is a battle-tested veteran. His opinions are sought out in Congress and all over the world. Today, we sat down with Jim to assess the implications of the federal government using AI when it comes to cybersecurity.

Jim likes to distinguish between two broad categories of AI: discriminative AI and Generative AI.

Discriminative: AI that can classify data but cannot generate it. From a cyber perspective, it can assess sentiment and image classification. It can alert when there is a potential threat.

Generative AI: produces results based on amalgamation of existing data. This can be text, music, and even designing images. There is a possibility that a Generative AI application can look at a network and generate a report finding vulnerabilities.

So far, these have been defined, but the results have been few.

Jim Richberg thinks federal organizations are being limited to not having standards in contract terms as they procure AI.

One topic that many seem to overlook is the power requirement for AI. Some solutions include modifying chip design. But Jim cautions that it can take as long as five years to get a data center up and running while energy concerns are building daily.

This is a fascinating discussion that includes Jim’s delineation of MDM of Misinformation, Disinformation, and Malinformation.

  continue reading

193 つのエピソード

Artwork
iconシェア
 
Manage episode 447074281 series 3610832
コンテンツは The Oakmont Group and John Gilroy によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、The Oakmont Group and John Gilroy またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal

Want to make the most out of your next podcast appearance? https://content.leadquizzes.com/lp/fk1JL_FgeQ

Connect to John Gilroy on LinkedIn https://www.linkedin.com/in/john-gilroy/

Want to listen to other episodes? www.Federaltechpodcast.com

= = =

Fortinet’s Jim Richberg is a battle-tested veteran. His opinions are sought out in Congress and all over the world. Today, we sat down with Jim to assess the implications of the federal government using AI when it comes to cybersecurity.

Jim likes to distinguish between two broad categories of AI: discriminative AI and Generative AI.

Discriminative: AI that can classify data but cannot generate it. From a cyber perspective, it can assess sentiment and image classification. It can alert when there is a potential threat.

Generative AI: produces results based on amalgamation of existing data. This can be text, music, and even designing images. There is a possibility that a Generative AI application can look at a network and generate a report finding vulnerabilities.

So far, these have been defined, but the results have been few.

Jim Richberg thinks federal organizations are being limited to not having standards in contract terms as they procure AI.

One topic that many seem to overlook is the power requirement for AI. Some solutions include modifying chip design. But Jim cautions that it can take as long as five years to get a data center up and running while energy concerns are building daily.

This is a fascinating discussion that includes Jim’s delineation of MDM of Misinformation, Disinformation, and Malinformation.

  continue reading

193 つのエピソード

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