Webinar Description
Key Takeaways
- Technical session examining post-compromise attack techniques in cloud environments across AWS, Azure, and GCP
- Covers lateral movement, privilege escalation, data exfiltration, and evasion methods used by sophisticated threat actors
- Explores how artificial intelligence automates offensive security operations during red team engagements
- Relevant for cloud security professionals, SOC analysts, and red team practitioners working with multi-cloud infrastructure
- Presented by Alessio Mauro, AI Engineer at Transilience AI
Introduction
Cloud security discussions frequently concentrate on preventing initial compromise, yet the most damaging phases of an attack typically occur after adversaries have already established a foothold. This technical session shifts focus to post-access operations, examining how attackers move laterally through cloud environments, escalate privileges, extract sensitive data, and evade detection across the three major cloud platforms.
Presented by Alessio Mauro, an AI Engineer at Transilience AI, the session forms part of a broader series on offensive security techniques. Where earlier sessions addressed initial access methods, this instalment examines the operational tradecraft that transforms a limited compromise into full administrative control—and how artificial intelligence is increasingly automating these attack chains.
About This Session
The session provides a technical walkthrough of adversary behaviour in compromised cloud environments. Rather than theoretical discussion, it examines specific techniques that red teams and threat actors employ once they have obtained initial access to AWS, Azure, or GCP infrastructure. The presentation explores how AI-driven tooling can discover and execute these attack paths automatically, reducing the time between initial compromise and full environment control.
This content is particularly relevant as organisations continue migrating critical workloads to cloud platforms while security operations centres struggle to maintain visibility across increasingly complex multi-cloud deployments. Understanding post-access techniques helps defenders identify gaps in their detection capabilities and prioritise security investments accordingly.
Lateral Movement Across Multi-Cloud Environments
One of the session’s primary focus areas is lateral movement—the techniques attackers use to expand their access from an initial foothold to other resources, accounts, and cloud environments. In cloud infrastructure, lateral movement often exploits the trust relationships and identity federation mechanisms that organisations implement for operational convenience.
The session covers role assumption chains in AWS, where attackers leverage IAM role trust policies to pivot between accounts. Similar techniques exist in Azure through service principal abuse and in GCP through service account impersonation. Cross-account access configurations, often implemented to enable centralised management or shared services architectures, can provide unintended pathways for adversaries who understand how to enumerate and exploit these relationships.
What distinguishes modern attack approaches is the application of AI to automate the discovery and exploitation of these trust relationships. Rather than manually mapping potential pivot points, AI-driven offensive tools can rapidly enumerate permissions, identify exploitable configurations, and execute movement chains that would take human operators considerably longer to discover.
Privilege Escalation in Cloud Identity and Access Management
Cloud IAM systems present unique privilege escalation challenges that differ substantially from traditional on-premises environments. The session examines how attackers map escalation paths from low-privilege roles to full administrative control, exploiting the complex permission models that govern access in AWS, Azure, and GCP.
Each cloud provider implements identity and access management differently, creating distinct escalation opportunities. Misconfigured IAM policies, overly permissive role assignments, and the accumulation of unnecessary permissions over time all contribute to exploitable attack surfaces. The session explores how AI can analyse these permission structures to identify the shortest viable path to administrative access—a task that becomes increasingly complex as organisations scale their cloud deployments.
This capability has significant implications for both offensive and defensive security teams. Red team practitioners can use AI-assisted analysis to identify escalation paths more efficiently during engagements, while defenders can apply similar techniques to proactively discover and remediate dangerous permission configurations before adversaries exploit them.
Data Exfiltration Through Cloud-Native Channels
Traditional data loss prevention solutions were designed for network perimeters that no longer exist in cloud-native architectures. The session addresses exfiltration techniques that exploit cloud-native services and channels that many organisations fail to monitor effectively.
Specific methods discussed include snapshot copying, where attackers duplicate storage volumes to accounts they control; storage bucket synchronisation that transfers data through legitimate cloud APIs; and pipeline abuse that leverages CI/CD infrastructure for data extraction. These techniques often generate activity that appears legitimate to security monitoring tools configured to detect traditional exfiltration patterns.
The challenge for security teams lies in distinguishing malicious use of these cloud-native capabilities from legitimate operational activity. Organisations that have not specifically configured monitoring for these channels may have significant blind spots in their data protection posture.
Evasion Techniques and Detection Challenges
Sophisticated adversaries invest considerable effort in remaining undetected throughout their operations. The session examines evasion techniques specifically adapted for cloud environments, including log manipulation, operating within trusted service patterns, and leveraging native cloud services as command-and-control channels.
Staying below detection thresholds requires understanding how security operations centres monitor cloud environments and what activity patterns trigger alerts. Attackers who operate within the bounds of normal service behaviour—using legitimate APIs at typical volumes and times—can avoid triggering the anomaly detection systems that many organisations rely upon.
This presents a fundamental challenge for cloud security: the same flexibility and programmability that makes cloud platforms valuable for legitimate operations also provides adversaries with numerous options for conducting malicious activity through sanctioned channels.
Who Should Attend
This session is designed for security professionals with existing cloud security knowledge who want to deepen their understanding of post-compromise attack techniques. Cloud security architects, SOC analysts responsible for cloud workload monitoring, red team practitioners, and penetration testers working with multi-cloud environments will find the technical content directly applicable to their work.
Defenders benefit from understanding these techniques to improve detection capabilities and validate security controls, while offensive security professionals gain insight into AI-assisted approaches for conducting more thorough red team engagements.