Webinar Description
Key Takeaways
- Live demonstration of Rainier, an AI-powered Security Operations Centre platform developed by Transilience
- Focus on transforming high-volume cloud telemetry into actionable security alerts across AWS, Azure and GCP
- Practical walkthrough of alert prioritisation, notification workflows and analyst investigation processes
- Intended for SOC analysts, detection engineers, MDR practitioners, cloud security architects and security leaders
- Part of a broader educational series on AI-powered cloud security co-produced by Network Intelligence and Transilience
Introduction
Security operations teams working in multi-cloud environments face a persistent challenge: distinguishing genuine threats from the overwhelming volume of telemetry data generated by modern infrastructure. This technical session offers a live demonstration of Rainier, Transilience’s AI-powered SOC platform, showing how machine learning techniques can reduce alert fatigue and accelerate threat investigation across AWS, Azure and GCP environments.
The session is led by Harsh Parikh, Global Practice Lead for Managed Detection and Response, and Parvez Gadkari, Engineering Lead. Both bring operational experience to a walkthrough that moves beyond theoretical capabilities into practical application.
About This Event
This session forms part of a 26-part educational series on AI-powered cloud security, co-produced by Network Intelligence and Transilience. While it builds upon concepts introduced in an earlier session covering the foundations of AI-powered cloud detection, the content is designed to be accessible to new participants. The format centres on a live dashboard walkthrough using real alerts and notifications rather than simulated scenarios.
Unified Cloud Telemetry and Alert Management
A central theme of the demonstration is how Rainier consolidates cloud telemetry from multiple providers into a single operational view. For organisations running workloads across AWS, Azure and GCP, this consolidation addresses a common pain point: the fragmentation of security visibility across disparate native tools and consoles. The session illustrates what SOC teams encounter from initial deployment, providing insight into the platform’s approach to organising and presenting security data.
The alert engine receives particular attention. Rather than presenting every anomaly with equal urgency, the platform applies AI-driven prioritisation, correlation and contextualisation. This approach aims to direct analyst attention toward alerts that warrant investigation while suppressing noise that would otherwise consume valuable time. The distinction between what is loud and what is genuinely significant represents a fundamental shift in how modern SOC platforms must operate as cloud environments grow in complexity.
Notification Workflows and Integration
Effective detection means little without reliable notification. The session covers how Rainier routes alerts to appropriate personnel through multiple channels, including Slack, Microsoft Teams and email escalation paths. Integration with Security Orchestration, Automation and Response platforms is also addressed, reflecting the reality that most enterprise security programmes rely on interconnected tooling rather than standalone solutions.
Live Detection and Investigation Workflows
The demonstration includes live detection scenarios in which real cloud attack patterns are triggered against the platform. Attendees observe how Rainier detects, classifies and surfaces these threats in real time. The session then follows the complete analyst workflow from initial notification through to completed investigation, highlighting how AI-assisted triage supports decision-making at each stage.
Who Should Attend
The session is designed for practitioners directly involved in cloud security operations. SOC analysts and detection engineers will find value in the practical workflow demonstrations, while MDR practitioners and threat hunters can assess how the platform supports their investigative processes. Cloud security architects and SIEM administrators may benefit from understanding how AI-powered platforms integrate with existing infrastructure. Security leaders evaluating detection platforms for cloud environments will gain insight into current capabilities in this rapidly evolving market segment.