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#327 - Sponsor Spotlight - Andromeda Security

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Manage episode 462485098 series 3201233
Content provided by Identity at the Center. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Identity at the Center 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://podcastplayer.com/legal.

This episode is sponsored by Andromeda Security. Learn more at https://www.andromedasecurity.com/idac⁠

Join Jeff and Jim on the Identity at the Center podcast as they chat with Ashish Shah, co-founder and Chief Product Officer of Andromeda Security. In this sponsored episode, Ashish dives deep into the importance of solving identity security problems, especially in cloud and SaaS environments. He explains how Andromeda's AI-powered platform focuses on both human and non-human identities, offering use case-driven solutions for security maturity. The discussion covers challenges, AI and machine learning applications, and practical insights into permissions management, risk scoring, just-in-time access, and more. Stay tuned for interesting takes on identity security and some fun recommendations for your reading/listening list.

Chapters

00:00 Introduction to Identity as a Data Problem 00:41 Overview of Andromeda's Capabilities 01:27 Welcome to the Identity at the Center Podcast 02:03 Meet Ashish Shah, Co-Founder of Andromeda 02:37 The Genesis of Andromeda 03:33 Addressing Identity Security Challenges 05:29 Andromeda's Approach to Identity Security 09:44 Measuring Success with Andromeda 12:21 Andromeda's Market Position and Ideal Customers 18:35 The Rise of Non-Human Identities 28:42 Understanding Identity and Accounts in AWS 28:54 The Concept of Incarnations in Identity Management 29:42 Human and Non-Human Identities 32:13 Challenges in Authorization and Access Control 32:44 Implementing Zero Trust and Least Privilege 35:10 Role of AI and Machine Learning in Identity Management 36:21 Risk Scoring and Behavioral Analysis 39:04 Customer Data and Model Training 41:08 Explainability and Security of AI Models 46:14 Customer Influence on Model Tuning 49:03 Andromeda's Offer and Final Thoughts 51:34 Book Recommendations and Closing Remarks

Connect with Ashish: https://www.linkedin.com/in/ashishbshah/

Learn more about Andromeda: https://www.andromedasecurity.com/idac⁠

Connect with us on LinkedIn:

Jim McDonald: https://www.linkedin.com/in/jimmcdonaldpmp/

Jeff Steadman: https://www.linkedin.com/in/jeffsteadman/

Visit the show on the web at idacpodcast.com and watch at https://www.youtube.com/@idacpodcast

Keywords:

Identity security, IAM, cybersecurity, artificial intelligence, AI, machine learning, ML, non-human identities, NHI, just-in-time access, JIT, IGA, privileged access management, PAM, identity threat detection and response, ITDR, cloud security, SaaS security, Andromeda Security, Ashish Shah, IDAC, Identity at the Center, Jim McDonald, Jeff Steadman

  continue reading

348 episodes

Artwork
iconShare
 
Manage episode 462485098 series 3201233
Content provided by Identity at the Center. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Identity at the Center 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://podcastplayer.com/legal.

This episode is sponsored by Andromeda Security. Learn more at https://www.andromedasecurity.com/idac⁠

Join Jeff and Jim on the Identity at the Center podcast as they chat with Ashish Shah, co-founder and Chief Product Officer of Andromeda Security. In this sponsored episode, Ashish dives deep into the importance of solving identity security problems, especially in cloud and SaaS environments. He explains how Andromeda's AI-powered platform focuses on both human and non-human identities, offering use case-driven solutions for security maturity. The discussion covers challenges, AI and machine learning applications, and practical insights into permissions management, risk scoring, just-in-time access, and more. Stay tuned for interesting takes on identity security and some fun recommendations for your reading/listening list.

Chapters

00:00 Introduction to Identity as a Data Problem 00:41 Overview of Andromeda's Capabilities 01:27 Welcome to the Identity at the Center Podcast 02:03 Meet Ashish Shah, Co-Founder of Andromeda 02:37 The Genesis of Andromeda 03:33 Addressing Identity Security Challenges 05:29 Andromeda's Approach to Identity Security 09:44 Measuring Success with Andromeda 12:21 Andromeda's Market Position and Ideal Customers 18:35 The Rise of Non-Human Identities 28:42 Understanding Identity and Accounts in AWS 28:54 The Concept of Incarnations in Identity Management 29:42 Human and Non-Human Identities 32:13 Challenges in Authorization and Access Control 32:44 Implementing Zero Trust and Least Privilege 35:10 Role of AI and Machine Learning in Identity Management 36:21 Risk Scoring and Behavioral Analysis 39:04 Customer Data and Model Training 41:08 Explainability and Security of AI Models 46:14 Customer Influence on Model Tuning 49:03 Andromeda's Offer and Final Thoughts 51:34 Book Recommendations and Closing Remarks

Connect with Ashish: https://www.linkedin.com/in/ashishbshah/

Learn more about Andromeda: https://www.andromedasecurity.com/idac⁠

Connect with us on LinkedIn:

Jim McDonald: https://www.linkedin.com/in/jimmcdonaldpmp/

Jeff Steadman: https://www.linkedin.com/in/jeffsteadman/

Visit the show on the web at idacpodcast.com and watch at https://www.youtube.com/@idacpodcast

Keywords:

Identity security, IAM, cybersecurity, artificial intelligence, AI, machine learning, ML, non-human identities, NHI, just-in-time access, JIT, IGA, privileged access management, PAM, identity threat detection and response, ITDR, cloud security, SaaS security, Andromeda Security, Ashish Shah, IDAC, Identity at the Center, Jim McDonald, Jeff Steadman

  continue reading

348 episodes

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