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Sisällön tarjoaa The Oakmont Group and John Gilroy. The Oakmont Group and John Gilroy tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.
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Ep 201 Misdirection, feints, trojan horses

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Manage episode 454749595 series 3610832
Sisällön tarjoaa The Oakmont Group and John Gilroy. The Oakmont Group and John Gilroy tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.

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

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

In Frank Herbert’s classic Dune, Paul Atreides's martial arts instructor discusses knife fighting and a “feint within a feint.” Today, we apply for this martial art tactic in federal information technology.

Malicious actors are flooding networks with false attacks, which are, in essence, feints with knives. Digital technology can multiply this activity, or noise, to such an extent that the real attack may be missed.

The question is: How can we differentiate between the noise and the actual attack?

Today, we have Chris Howard and Zach Vaugh, two experts from Vectra AI. They explain Vectra AI's approach to understanding threat attack intelligence.

For the past fourteen years, Vectra AI has focused on this noise-to-signal ratio, garnering some thirty-five patents in this endeavor.

They understand the nuances of code morphing, lateral movement, and something curiously called “living off the land.” As a result, they alert a manager to suspicious activity; leaders can be assured they are not dealing with a false alarm.

This innovation is important today because Zero Trust is being implemented today. The concept is to allow the right person to have the right data at the right time. How do you know the data has not been injected with malicious code?

  continue reading

218 jaksoa

Artwork
iconJaa
 
Manage episode 454749595 series 3610832
Sisällön tarjoaa The Oakmont Group and John Gilroy. The Oakmont Group and John Gilroy tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.

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

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

In Frank Herbert’s classic Dune, Paul Atreides's martial arts instructor discusses knife fighting and a “feint within a feint.” Today, we apply for this martial art tactic in federal information technology.

Malicious actors are flooding networks with false attacks, which are, in essence, feints with knives. Digital technology can multiply this activity, or noise, to such an extent that the real attack may be missed.

The question is: How can we differentiate between the noise and the actual attack?

Today, we have Chris Howard and Zach Vaugh, two experts from Vectra AI. They explain Vectra AI's approach to understanding threat attack intelligence.

For the past fourteen years, Vectra AI has focused on this noise-to-signal ratio, garnering some thirty-five patents in this endeavor.

They understand the nuances of code morphing, lateral movement, and something curiously called “living off the land.” As a result, they alert a manager to suspicious activity; leaders can be assured they are not dealing with a false alarm.

This innovation is important today because Zero Trust is being implemented today. The concept is to allow the right person to have the right data at the right time. How do you know the data has not been injected with malicious code?

  continue reading

218 jaksoa

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