AWS Public Sector Blog
Category: Amazon OpenSearch Service
Accelerating geospatial work with Kiro: One AI interface for the geo stack
This post introduces the Geospatial Power Pack, a Kiro power package that turns Kiro into a unified, AI-assisted geospatial workspace. Kiro is an agentic development environment created by Amazon Web Services (AWS). It helps developers and teams turn prompts into executable specs, validate code correctness to find bugs that unit tests miss, and build across large codebases with parallel agents that learn from every session.
TOLAP: Closing the data-object security gap in AI agent architectures
Every major agent framework has a security model for this. Amazon Web Services (AWS), Microsoft, and Google each ship agent solutions with authentication and credential management built in. Amazon Bedrock Agents, for example, enforces AWS Identity and Access Management (IAM)-based authorization on which AWS Lambda functions, Amazon Simple Storage Service (Amazon S3) buckets, and Amazon Bedrock Knowledge Bases an agent might invoke.
An incident response playbook for satellite operations on AWS (Part-1): Detection and forensic readiness
In this post, the first in a two-part series, we focus on the detection and forensic readiness side of satellite IR. This post walks through instrumenting your ground segment with Amazon Web Services (AWS) security services and AWS Ground Station so that threats surface before they cause damage, and forensic data is already flowing when an incident occurs.
An incident response playbook for satellite operations on AWS (Part-2): Automated response and recovery
This blog covers what to do when those detections fire. Satellite incident response (IR) must account for constraints that ground-based systems never face: containment actions that wait for the next orbital pass, decisions that trade mission continuity against security, and recovery procedures where the compromised endpoint cannot be physically accessed. It walks through containment, eradication, recovery, automated runbooks, and tabletop exercises designed for satellite operations teams.
The transformative impact of generative AI on business workflows in a highly regulated industry
The aerospace industry represents one of the most complex regulatory environments for software development, where system failures can result in catastrophic consequences including loss of human life and multibillion-dollar assets. In this blog post, learn how Blue Origin operates within this framework, in which software systems control every aspect of rocket propulsion, navigation, life support, and mission-critical operations.
AWS and MortarCAPS: A game-changing partnership set to revolutionize data management in post-secondary education
The post-secondary education sector is about to experience a seismic shift in how it manages data. In a landmark announcement, Amazon Web Services (AWS) and MortarCAPS have revealed a strategic partnership that promises to transform the way that tertiary education institutions handle information, support students, and drive innovation.
Leverage generative AI for biocuration using Amazon Bedrock and Amazon Nova foundation models
Personalized therapy for diseases such as cancer utilizes an individual’s unique genomic profile to guide treatment decisions. However, the effect and clinical significance of most genetic variants are uncertain. Accurate classification of the clinical significance of novel genetic variants requires extensive curation of peer-reviewed biomedical literature. In recent years, generative AI has demonstrated promising results in information extraction and text summarization. In this post, we explore how various AWS-native solutions can be used to create a secure, retrieval-augmented, and cost-effective biomedical chatbot designed to facilitate biocuration.
AWS accelerates digital public infrastructure adoption with automation
In this post, we explore how AWS enables the automation of deploying a DPI-based solution stack. We highlight Sunbird RC (Registry and Credentials) as a real-world digital public goods (DPG) building block. The following example provides an overview and execution of the packaging available in the Sunbird community GitHub repository for provisioning required AWS services and deploying Sunbird RC services.
Harnessing the power of generative AI in AWS GovCloud
In this post, we explore how generative artificial intelligence (AI), powered by services such as Amazon Bedrock and Amazon SageMaker, can be harnessed to meet the unique challenges of AWS GovCloud (US). We highlight use cases that demonstrate the potential of generative AI to enhance efficiency, automate workflows, and extract insights—all within a secure, compliant framework.
Building your first generative AI conversational experience on AWS
Amazon Web Services (AWS) offers a variety of options for building chat-based assistants with generative artificial intelligence (AI) capabilities. The goal of this post is to present in simple words some of these options and what to keep in mind to decide which to use and how to get started.









