Uploaded June 2026 | Updated September 2026, 3 hours ago
Cydney Stude (Amazon/AWS, US), Steve de Vera (Amazon/AWS, US), Vamshi Krishna Edamadaka (Amazon Web Services, US)
This session provides an in-depth case study of how an AWS security team has strategically integrated AI and automation technologies into their forensics and cyber threat intelligence operational workflows. We will explore the critical questions we asked ourselves when assessing existing processes for AI and automation opportunities, examine the decision-making criteria we used to determine which mechanisms to implement, and share some challenges and valuable lessons learned throughout our implementation journey.
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Steve de Vera is a security minded professional with over 20 years of experience in various roles including digital forensics and incident response, red teaming, and security engineering. Steve is currently a manager in the AWS CIRT (Customer Incident Response Team), where he specializes in incident response and threat intelligence.
Cydney Stude is a Security Engineer with the AWS Customer Incident Response Team (CIRT), specializing in incident response and cloud security. Her work focuses on technical depth and real-world insights when handling complex cloud challenges. Cydney translates emerging threat actor trends into strategies to improve how organizations can detect and mitigate evolving attack patterns in the cloud.
Vamshi Edamadaka is a Data Scientist at AWS where his work involves using AI/ML and data science techniques to analyze complex threat data from security incidents. Vamshi primarily focuses on identifying attack patterns and developing predictive models to help AWS proactively defend against cyber threats through data-driven insights and advanced analytics.
Cydney Stude (Amazon/AWS, US), Steve de Vera (Amazon/AWS, US), Vamshi Krishna Edamadaka (Amazon Web Services, US)
This session provides an in-depth case study of how an AWS security team has strategically integrated AI and automation technologies into their forensics and cyber threat intelligence operational workflows. We will explore the critical questions we asked ourselves when assessing existing processes for AI and automation opportunities, examine the decision-making criteria we used to determine which mechanisms to implement, and share some challenges and valuable lessons learned throughout our implementation journey.
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Steve de Vera is a security minded professional with over 20 years of experience in various roles including digital forensics and incident response, red teaming, and security engineering. Steve is currently a manager in the AWS CIRT (Customer Incident Response Team), where he specializes in incident response and threat intelligence.
Cydney Stude is a Security Engineer with the AWS Customer Incident Response Team (CIRT), specializing in incident response and cloud security. Her work focuses on technical depth and real-world insights when handling complex cloud challenges. Cydney translates emerging threat actor trends into strategies to improve how organizations can detect and mitigate evolving attack patterns in the cloud.
Vamshi Edamadaka is a Data Scientist at AWS where his work involves using AI/ML and data science techniques to analyze complex threat data from security incidents. Vamshi primarily focuses on identifying attack patterns and developing predictive models to help AWS proactively defend against cyber threats through data-driven insights and advanced analytics.
