Tag: AWS Competency Partners

AWS embraces the “working backwards” approach to stay customer-focused. The Generative AI Center of Excellence (CoE) for AWS Partners applies this methodology and collects partner feedback to provide relevant insights, tools, and resources on leveraging generative AI. Recent updates to the CoE include customer research on generative AI adoption challenges, a usage maturity heatmap by industry, and five new use case deep dives covering telecom, automotive, IDP, contact centers, and financial analysts.

Integrating security scanning into infrastructure as code (IaC) allows detecting misconfigurations early in development. This post explores using the KICS plugin from Checkmarx with AWS CDK. Learn how KICS performs static code analysis to find vulnerabilities and compliance issues in IaC and scans the CDK code to report findings, failing the command for high-severity issues. This shifts security left, mitigating risks in deployed infrastructure.

The AWS Well-Architected Framework provides best practices for cloud architectures across six pillars. Comprinno’s Tevico enhances the Well-Architected review experience through collaboration tools, automatic risk identification, integrated remediation planning, and a knowledge base. Key features include visual diagramming, multi-user collaboration, auto-discovery of risks, and more. With AWS integration, Tevico helps customers comprehensively evaluate their workloads and swiftly remediate high-risk issues.

With the ability to automate tasks, enhance productivity, and enable hyper-personalized customer experiences, businesses are seeking specialized expertise to build a successful generative AI strategy. To support this need, we’re excited to announce the AWS Generative AI Competency—an AWS Specialization that helps AWS customers more quickly adopt generative AI solutions and strategically position themselves for the future.

As data becomes increasingly valuable, robust security measures are critical. This post reviews how Protegrity’s tokenization integration with Amazon Redshift Dynamic Data Masking enables organizations to effectively protect sensitive data. It provides an overview of key concepts like Protegrity Vaultless Tokenization and Redshift Dynamic Data Masking, including code examples to better safeguard sensitive information within their Redshift data warehouse both at rest and in use.

Amazon Machine Images (AMIs) allow quick deployment of EC2 instances, but managing multiple customized AMIs is complex. Stratus10’s Image Management Solution automates and streamlines AMI building, testing, and deployment using EC2 Image Builder. It provides consistency, integrates with current processes, reduces costs, and improves security. By eliminating manual processes, engineering teams can focus on innovation while hardened images ensure best practices.

Enterprise cloud adoption enables scalability but can introduce security and compliance challenges from decentralized builders and disparate growth. Accenture’s Secure Cloud Foundation on AWS provides a well-defined, automated account provisioning process with guardrails to enable secure and streamlined self-service innovation across teams. It establishes robust cloud foundations to automate security and break organizational barriers for accountability and outcomes.

Salesforce and AWS provide integrations that extend platform capabilities to help organizations solve unique business problems. Customers leverage Salesforce for modern user workflows and AWS for backend services, system integration, and data analytics. Integrations link the platforms through automation and tightly coupled services to meet security and performance needs, often using asynchronous event flows.

Noventiq developed uDMS, a smart document management system hosted on AWS serverless architecture that removes the need to manage servers while ensuring scalability, cost-efficiency, and global accessibility. uDMS offers easy document tracking, metadata templating, workflow notifications, version control, and integrates well with other systems. It demonstrates how a serverless architecture can enable rapid deployment and modernization of legacy document management systems.

As companies grow, data can become fragmented across business units, hindering insights. PwC built an enterprise data solution on AWS to centralize data and streamline ingestion from diverse sources into a consolidated data lake using native AWS services and configurations. This reduces bespoke data collection, freeing up time for analysis and innovation with consistent, up-to-date data sets. The expandable solution accelerates stand up and bridges silos to unlock operational insights across the business.