Hero guide: Secure Data Innovation Guide
This guide highlights AWS re:Inforce sessions for data innovators, focusing on securing data and analytics workloads. It covers secure data analytics, governance, and generative AI, providing tools and insights to build resilient, compliant data platforms that drive innovation while ensuring robust security.
Sanchit Jain
D&A Practice Lead
Quantiphi Inc
This guide curates a selection of sessions from Data and Analytics at AWS re:Inforce, explicitly tailored for Data Innovators focused on securing data and analytics workloads. Designed for professionals ranging from intermediate to expert levels, the primary goal is to empower organizations to innovate securely by advancing data-driven strategies and strengthening governance and compliance controls.
Key focus areas include secure data analytics, foundational data architecture, and the integration of generative AI, all with an emphasis on robust security and governance. Attendees will gain actionable insights into building and protecting resilient data platforms, leveraging the latest AWS technologies to unlock the full value of their data while maintaining stringent security standards.
Whether your priority is safeguarding sensitive information, implementing advanced data governance frameworks, or enabling secure generative AI applications, this guide equips you with the knowledge and tools to drive secure innovation and confidently manage your data estate in the cloud.
Securing Data for Tomorrow
Securing data lakes and databases is vital to protect sensitive business and customer information from unauthorized access, breaches, and cyber threats. Strong security ensures data integrity, supports compliance, and enables safe, effective use of valuable data assets
Master advanced data protection for modern data lakes with hands-on PII detection, encryption, and automated workflows—leave with production-ready, compliant architectures
Build end-to-end security for AWS data lakes and AI/ML workloads. Gain practical skills in secure ingestion, dynamic access, and compliance monitoring with real-world exercises.
Learn to manage encryption keys and access policies across accounts using natural language queries. Gain actionable insights and dashboards for enterprise-wide key visibility.
Automate malware remediation for Amazon S3 using GuardDuty, Lambda, and Step Functions. Build scalable, serverless workflows to boost threat response and compliance.
Understand how Amazon Bedrock secures data in generative AI, including cross-region and multi-agent scenarios. Learn proven patterns for architecting secure AI solutions.
Embed automated compliance checks in infrastructure with AWS CDK and Terraform. Discover compliance-as-code patterns to enforce security without slowing development.
No Trespassing In The Cloud
Implementing proper governance in the cloud is crucial to protect sensitive data, ensure regulatory compliance, and manage access. Strong governance prevents breaches, reduces legal risks, maintains data quality, and enables secure, efficient data sharing and operations.
Learn to implement and validate data perimeter policies using SCPs, RCPs, and VPC endpoint policies to ensure only trusted identities access corporate data within set boundaries.
Gain actionable insights by visualizing IAM Identity Center data in graph databases, helping detect excessive permissions and track resource access patterns across your organization.
Discover how to shift from RBAC to scalable PBAC using Cedar, centralizing authorization and enabling fine-grained, least-privilege access with minimal code changes.
Explore proven patterns for secure, compliant cross-region and partition access—including AWS GovCloud and European Sovereign Cloud—enabling centralized, least-privilege operations.
Master identity management and fine-grained access at scale for AWS data lakes, leveraging IAM Identity Center and Lake Formation to secure decentralized data environments.
Build interactive security dashboards and generate executive-ready insights using GenAI and AWS analytics, boosting compliance and security visibility for all stakeholders.
Learn In a Hands-on Way
Hands-on AWS labs: build security, compliance, and development skills through real-world scenarios. Learn to configure tools, automate workflows, and apply AI-driven solutions to innovate securely, ensuring immediate business impact and staying ahead in cloud security and operations.
Code and visualize security analytics solutions atop Amazon Security Lake, using AWS services to operationalize data for advanced threat detection and incident response.
Apply threat modeling concepts through group exercises and expert guidance, learning to identify, assess, and mitigate security threats using STRIDE and real-world case studies.
Get practical skills in configuring secure identity propagation across AWS services and accounts, mastering audit logging, and troubleshooting integration challenges.
Experience hands-on how Amazon Q Developer and Bedrock automate coding, reviews, and documentation to speed up development, boost quality, and ensure compliance.
Build and automate real-time threat detection, dashboards, and response workflows using AWS observability tools to maintain security compliance hands-on.
Learn how MongoDB revamped Atlas access management using Cedar and Amazon Verified Permissions for scalable, fine-grained, policy-based authorization.
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