Webinar Description
Key Takeaways
- Explores the unique challenges and methodologies of red teaming in cloud environments
- Highlights the role of AI in automating and enhancing every phase of cloud red team operations
- Examines advanced attack surface mapping, initial access, and persistence techniques across AWS, Azure, and GCP
- Provides practical insights into how offensive AI can help organizations identify and close security gaps
- Session is accessible to newcomers and marks the start of a focused red teaming track within a broader AI cloud security series
Cloud security is evolving rapidly, and traditional penetration testing is no longer enough to keep pace with sophisticated threats. The fifth session in the AI Cloud Security series, “Think Like the Attacker: AI-Powered Red Teaming in Cloud Environments,” delves into the operational realities of defending against adversaries who target entire cloud ecosystems, not just individual applications.
Red Teaming vs. Penetration Testing in the Cloud
While penetration testing focuses on uncovering vulnerabilities in specific systems or applications, red teaming takes a broader, more adversarial approach. In cloud environments, this means simulating the tactics, techniques, and persistence strategies of real-world attackers who aim to compromise the entire infrastructure. The session clarifies why organizations need both approaches to build a resilient security posture.
AI’s Expanding Role in Cloud Red Team Operations
Venkat Pothamsetty, Co-Founder of Transilience AI, outlines how artificial intelligence is reshaping red team operations. Automated reconnaissance now enables teams to map out cloud resources, identities, and hidden pathways that often escape manual review. This level of visibility is critical as cloud environments grow more complex and interconnected.
Modern Attack Techniques and Persistence in the Cloud
The session explores how attackers gain initial access—whether through phishing for cloud credentials, exploiting exposed services, or abusing misconfigured IAM roles and federation trusts across major platforms like AWS, Azure, and GCP. It also examines persistence mechanisms that allow adversaries to maintain access even as organizations update or reconfigure their infrastructure. These insights are essential for defenders seeking to anticipate and disrupt advanced attack chains.
Building Offensive AI for Realistic Defense
Transilience’s approach centers on developing offensive AI that mirrors the thinking and adaptability of skilled adversaries. By simulating these advanced threats, organizations can identify and remediate security gaps before they are exploited in the wild. This proactive stance is increasingly vital as cloud adoption accelerates and attack surfaces expand.
About the Series
This session is part of a 26-part series on AI-powered cloud security, co-powered by Network Intelligence and Transilience. As the first in the red teaming track, it stands alone and welcomes new participants, regardless of prior attendance. The series aims to equip professionals with actionable knowledge to navigate the evolving landscape of cloud security threats and defenses.