Tenable

MAY 31, 2024

But how can you ensure you use it securely, responsibly, ethically and in compliance with regulations? Check out best practices, guidelines and tips in this special edition of the Tenable Cybersecurity Snapshot! How can the security team contribute to these efforts? We look at best practices for secure use of AI.

Security 74

Security Artificial Inteligence Generative AI Artificial Intelligence 74

Modus Create

JUNE 18, 2021

While this can lead to amazing outcomes for customers, it also increases their exposure to cybersecurity threats. What is a Security Assessment? A security assessment reveals an organization’s existing IT vulnerabilities and suggests recommendations to improve its overall security posture.

Software Review 40

Software Review Development Team Review Technical Review Systems Review 40

AWS Machine Learning - AI

NOVEMBER 24, 2023

It provides a comprehensive set of capabilities for building generative AI applications while ensuring privacy and security are maintained. The README file contains all the information you need to get started, from requirements to deployment guidelines. We’ve provided detailed instructions in the accompanying README file.

eCommerce 115

eCommerce Generative AI Lambda AWS 115

Altexsoft

MAY 21, 2021

So instead, SMART shifted the focus towards helping with FHIR implementations, namely creating tools and guidelines for developers building FHIR-based apps. For this to work, apps should have a high level of security and interoperability that FHIR alone doesn’t provide. FHIR-native system architecture.

Technical Review 72

Technical Review Healthcare Weak Development Team Resources 72

Exadel

OCTOBER 11, 2022

This means that we can work on any system, architecture, or device, from mobile and web applications to APIs, analytics tools, and TV consoles, etc.

Testing 52

Testing Quality Assurance Knowledge Base Guidelines 52

Zensar

FEBRUARY 18, 2020

Hence, it is important to ensure that the overall data systems architecture is well defined, nuanced for specific needs and follows best practices and guidelines for data management. Security requirements. Data security framework to protect data across channels. Data volume and number of federated data sources.

Architecture 40

Architecture Analytics Sustainability System Architecture 40

Apiumhub

JULY 23, 2019

Also, it will be a perfect time to list down the most painful issues that are encountered related to bad decisions in Software Architecture as well as possible solutions. The idea is to come up with common rules and guidelines, looking at the overall picture of the covered topics. These topics, and more, are all covered in this book.

Software Review 53

Software Review Technical Review Software Systems Review 53