AWS Skill Builder

I co-created and led several AWS PartnerCast sessions featured on AWS Skill Builder, focusing on real-world use cases like fraud detection, generative AI, and cloud observability.

Advanced Fraud Detection with AWS: Integrating Amazon MSK, Kinesis, OpenSearch, and Fraud Detector in Action

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This session demonstrates how to architect and implement a sophisticated, scalable fraud detection system using a combination of AWS services: Amazon Managed Streaming for Apache Kafka (MSK) for real-time data streaming, Amazon Kinesis for data ingestion, Amazon OpenSearch for search and analytics, and Amazon Fraud Detector for machine learning-based fraud detection. As lead architect and presenter, I showcased how to design real-time data processing patterns, build event-driven architectures, and implement actionable fraud detection workflows that scale to enterprise volumes. The session covers best practices for integrating streaming analytics, automating fraud detection, and deploying robust, production-ready solutions that help organizations proactively identify and respond to fraudulent activity.

Real-Time Threat Detection with Amazon OpenSearch Security Analytics

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An advanced technical session focused on building a comprehensive Security Information and Event Management (SIEM) solution using Amazon OpenSearch and Splunk integration. This presentation demonstrates how to normalize security data from Amazon RDS, AWS CloudTrail, and AWS AppFabric into the Open Cybersecurity Schema Framework (OCSF) format for unified threat analysis. Learn how to implement real-time threat detection, automate security incident response workflows, and leverage AppFabric for tracking both external cyber threats and insider threat patterns.

Advanced Search with LLMs in Amazon OpenSearch & Amazon Bedrock

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This cutting-edge session explores the integration of Large Language Models (LLMs) with Amazon OpenSearch and Amazon Bedrock to create conversational search experiences. The demonstration covers how to implement natural language querying capabilities, enhance SIEM operations with AI-powered threat analysis, and build ETL patterns that unify threat intelligence data across multiple sources. Learn practical approaches for combining traditional search with generative AI to create more intuitive and powerful enterprise search solutions.

AI-Driven Cyber Insights: Generative AI for Splunk Powered by OpenSearch

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This session demonstrates how to leverage generative AI technologies and scalable machine learning workflows to analyze complex Splunk security data using Amazon OpenSearch and Amazon SageMaker. As lead architect and presenter, I showcased how to centralize security insights, implement AI-driven threat detection algorithms, and transform cybersecurity data into actionable intelligence through conversational search interfaces. The end-to-end solution leverages Amazon SageMaker for model training and deployment, AWS Lambda for serverless compute, and AWS Step Functions for workflow orchestration—covering best practices for scalable ML architectures, automated model deployment pipelines, and real-time inference patterns. Learn how to build next-generation security operations centers that unify traditional SIEM capabilities with modern AI technologies, enabling organizations to centralize security insights, automate threat detection, and accelerate machine learning initiatives for greater business impact.

About These Demos

These demos are part of the AWS PartnerCast program, where I led technical deep dives and presented advanced AWS solutions. For official versions and more details, check out AWS Skill Builder.

You can explore more and watch the full technical sessions directly on AWS Skill Builder:

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