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Soap Box: Red teaming AI systems with SpecterOps

Risky Business by Risky.biz

Mar 27, 202630:11Technology

In this sponsored Soap Box edition of the show, Patrick Gray and James Wilson talk about red teaming AI systems with Russel Van Tuyl, Vice President of Services at elite penetration testing firm SpecterOps. SpecterOps is...

About This Episode

Soap Box: Red teaming AI systems with SpecterOps is an episode from Risky Business by Risky.biz. In this sponsored Soap Box edition of the show, Patrick Gray and James Wilson talk about red teaming AI systems with Russel Van Tuyl, Vice Pres...

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Episode Details

Published Mar 27, 2026, 30:11 long, audio available.

Questions About This Episode

What is Soap Box: Red teaming AI systems with SpecterOps about?

In this sponsored Soap Box edition of the show, Patrick Gray and James Wilson talk about red teaming AI systems with Russel Van Tuyl, Vice President of Services at elite penetration testing firm SpecterOps. SpecterOps is the company behind attack path enumeration tool Bloodhound and Bloodhound Enterprise, but they’re also a pentest and red teaming shop with world class expertise in popping shells on all sorts of interesting systems in all sorts of interesting places. This episode is also available on Youtube . Show notes

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Which podcast is Soap Box: Red teaming AI systems with SpecterOps from?

Soap Box: Red teaming AI systems with SpecterOps is an episode from Risky Business by Risky.biz.

How long is this episode?

This episode is 30:11 long.

When was this episode published?

This episode was published on Mar 27, 2026.

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Are there related episodes from Risky Business?

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Where can I listen to Soap Box: Red teaming AI systems with SpecterOps?

You can listen to Soap Box: Red teaming AI systems with SpecterOps on this page when the episode audio is available from the podcast feed.

Which podcast is this episode from?

Soap Box: Red teaming AI systems with SpecterOps is from Risky Business by Risky.biz.

What are the episode details?

Published Mar 27, 2026 and 30:11 long