Tag: AWS PrivateLink

Managing access to websites and safeguarding users from harmful content is a critical component of a layered cybersecurity approach, especially in educational settings. Schools and institutions of higher learning have a responsibility to provide a secure online experience for their students and staff. Traditionally, this has been accomplished through on-site web filtering appliances. Amazon Web Services ( AWS) Network Firewall allows customers to filter their outbound web traffic from on-premises environments based on fully qualified domain names (FQDN) or Server Name Indication (SNI) for encrypted traffic. This post will use AWS Client VPN to demonstrate routing and filtering traffic from external resources through Network Firewall.

The Amazon Web Services (AWS) commitment to safe, transparent, and responsible artificial intelligence (AI)—including generative AI—is reflected in our endorsement of the White House Voluntary AI Commitments, our participation in the UK AI Safety Summit, and our dedication to providing customers with features that address specific challenges in this space. In this post, we explore how AWS can help agencies address the governance requirements outlined in the Office of Management and Budget (OMB) memo M-2410 as public sector entities look to build internal capacity for AI.

AWS GovCloud (US) was architected to have isolation (both physically and logically) from other AWS partitions for compliance. For this reason, AWS services, used to privately interconnect virtual private cloud (VPC) hosted resources within the same partition like AWS PrivateLink, Amazon Virtual Private Cloud (Amazon VPC) peering, or AWS Transit Gateway peering, cannot span from AWS GovCloud (US) to commercial Regions natively by design. In this post, we will highlight four connectivity patterns customers can use to interconnect VPC hosted systems cross partition.

Cybersecurity analytics is a systematic methodology designed to collect, ingest, process, aggregate, and analyze security events. This methodology empowers organizations to proactively perform security investigations, powered by advanced analytics and machine learning (ML), which help mitigate cyber issues more effectively and efficiently at scale. Learn about the core components of a cybersecurity analytics framework and how organizations can use AWS to design a cybersecurity analytics platform with analytics and ML services.

The Newfoundland and Labrador Centre for Health Information (NLCHI) provides quality information to health professionals, the public, researchers, and health system decision makers. Through collaboration with the health system, NLCHI supports the development of data and technical standards, maintains key health databases, carries out analytics and evaluation, and supports health research. This post details how NLCHI is able to provide secure and scalable access to their on-premises provincial electronic health record (EHR) system, by trusted and authorized partners who run on AWS, through the use of AWS PrivateLink, Network Load Balancer, and AWS Site-to-Site VPN.

One of the most difficult aspects in IT modernization in any industry—especially in highly regulated ones like government, financial services, and healthcare—can be getting data securely from on premises to the Amazon Web Services (AWS) Cloud. In capital markets, moving fast while staying secure can determine an organization’s ability to modernize, optimize, and innovate with new technologies such as data lakes, big data analytics, and machine learning.