Search a title or topic

Over 20 million podcasts, powered by 

Player FM logo
Artwork

Content provided by Security Weekly Productions. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Security Weekly Productions or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Appsec News & Interviews from RSAC on Identity and AI - Rami Saas, Charlotte Wylie - ASW #331

1:01:48
 
Share
 

Manage episode 483837688 series 70666
Content provided by Security Weekly Productions. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Security Weekly Productions or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

In the news, Coinbase deals with bribes and insider threat, the NCSC notes the cross-cutting problem of incentivizing secure design, we cover some research that notes the multitude of definitions for secure design, and discuss the new Cybersecurity Skills Framework from the OpenSSF and Linux Foundation. Then we share two more sponsored interviews from this year's RSAC Conference.

With more types of identities, machines, and agents trying to access increasingly critical data and resources, across larger numbers of devices, organizations will be faced with managing this added complexity and identity sprawl. Now more than ever, organizations need to make sure security is not an afterthought, implementing comprehensive solutions for securing, managing, and governing both non-human and human identities across ecosystems at scale.

This segment is sponsored by Okta. Visit https://securityweekly.com/oktarsac to learn more about them!

At Mend.io, we believe that securing AI-powered applications requires more than just scanning for vulnerabilities in AI-generated code—it demands a comprehensive, enterprise-level strategy. While many AppSec vendors offer limited, point-in-time solutions focused solely on AI code, Mend.io takes a broader and more integrated approach.

Our platform is designed to secure not just the code, but the full spectrum of AI components embedded within modern applications. By leveraging existing risk management strategies, processes, and tools, we uncover the unique risks that AI introduces—without forcing organizations to reinvent their workflows. Mend.io’s solution ensures that AI security is embedded into the software development lifecycle, enabling teams to assess and mitigate risks proactively and at scale.

Unlike isolated AI security startups, Mend.io delivers a single, unified platform that secures an organization’s entire codebase—including its AI-driven elements. This approach maximizes efficiency, minimizes disruption, and empowers enterprises to embrace AI innovation with confidence and control.

This segment is sponsored by Mend.io. Visit https://securityweekly.com/mendrsac to book a live demo!

Visit https://www.securityweekly.com/asw for all the latest episodes!

Show Notes: https://securityweekly.com/asw-331

  continue reading

3107 episodes

Artwork
iconShare
 
Manage episode 483837688 series 70666
Content provided by Security Weekly Productions. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Security Weekly Productions or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

In the news, Coinbase deals with bribes and insider threat, the NCSC notes the cross-cutting problem of incentivizing secure design, we cover some research that notes the multitude of definitions for secure design, and discuss the new Cybersecurity Skills Framework from the OpenSSF and Linux Foundation. Then we share two more sponsored interviews from this year's RSAC Conference.

With more types of identities, machines, and agents trying to access increasingly critical data and resources, across larger numbers of devices, organizations will be faced with managing this added complexity and identity sprawl. Now more than ever, organizations need to make sure security is not an afterthought, implementing comprehensive solutions for securing, managing, and governing both non-human and human identities across ecosystems at scale.

This segment is sponsored by Okta. Visit https://securityweekly.com/oktarsac to learn more about them!

At Mend.io, we believe that securing AI-powered applications requires more than just scanning for vulnerabilities in AI-generated code—it demands a comprehensive, enterprise-level strategy. While many AppSec vendors offer limited, point-in-time solutions focused solely on AI code, Mend.io takes a broader and more integrated approach.

Our platform is designed to secure not just the code, but the full spectrum of AI components embedded within modern applications. By leveraging existing risk management strategies, processes, and tools, we uncover the unique risks that AI introduces—without forcing organizations to reinvent their workflows. Mend.io’s solution ensures that AI security is embedded into the software development lifecycle, enabling teams to assess and mitigate risks proactively and at scale.

Unlike isolated AI security startups, Mend.io delivers a single, unified platform that secures an organization’s entire codebase—including its AI-driven elements. This approach maximizes efficiency, minimizes disruption, and empowers enterprises to embrace AI innovation with confidence and control.

This segment is sponsored by Mend.io. Visit https://securityweekly.com/mendrsac to book a live demo!

Visit https://www.securityweekly.com/asw for all the latest episodes!

Show Notes: https://securityweekly.com/asw-331

  continue reading

3107 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Listen to this show while you explore
Play