Kaseya

MAY 13, 2021

In this blog, we’ll compare the three leading public cloud providers, namely Amazon Web Services (AWS), Microsoft Azure and Google Cloud. Greater Security. AWS ensures end-to-end security for its cloud infrastructure by implementing software, physical and operational measures wherever required. Security Limitations.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Tenable

MARCH 21, 2024

Additional research revealed that numerous shared-parent service domains in AWS, Azure and GCP were misconfigured, putting cloud customers at considerable risk. By abusing the vulnerability, an attacker could have forced victims to use and authenticate the attacker’s known session. What's the difference between a site and an origin?

AWS 127

AWS Azure Authentication Software Review 127

Mobilunity

APRIL 29, 2024

If you also consider releasing an app for banking and finance, you’ll need to find ASP,NET Core, and MS Azure engineers. However, not all solutions work equally fast, have an intuitive design, and ensure a secure connection. That’s because the functionality of the.NET frameworks and Azure Cloud services is broad.

.Net 52

.Net Azure Banking Fintech 52

Altexsoft

MAY 20, 2020

Source: IoT Analytics. The transport layer is responsible for smooth and secure data transmission from a perception to processing layer. Source: IoT Analytics. Microsoft Azure IoT. IoT Core is the heart of AWS IoT suite, which manages device authentication, connection and communication with AWS services and each other.

IoT 141

IoT Azure AWS Transportation 141

Tenable

MARCH 31, 2023

1 - CISA releases cloud security tool for Microsoft, gives it fowl name Cloud security teams have a new, albeit oddly named, tool for detecting malicious activity in Microsoft Azure, Azure Active Directory (AAD) and Microsoft 365 (M365). issues framework for secure AI ” “ U.K. But about the name.

Tools 52

Tools ChatGPT Cloud Technical Review 52

Xebia

JULY 28, 2023

Setup the Azure Service Principal : We want to avoid Personal Tokens that are associated with a specific user as much as possible, so we will use a SP to authenticate dbt with Databricks. For this project, we will use Azure as our Cloud provider. The only missing piece is the authentication for the Deployment environments.

Cloud 130

Cloud Azure How To Windows 130

KitelyTech

FEBRUARY 15, 2023

With so many different options available, such as AWS, Azure, and Google Cloud, it is important to understand the differences between each platform and how they can best meet your business needs. Examples of cloud computing services are Amazon Web Service (AWS), Microsoft Azure, Google Cloud Platform, etc.

Google Cloud 52

Google Cloud Azure AWS Cloud 52

Lacework

MAY 5, 2022

At this time, establishing server securing meant focusing on physical measures and preventing unauthorized individuals from accessing the hardware. Amazon released Amazon Web Services (AWS) in 2002, Google launched Google App Engine’s beta version in 2008, Microsoft’s Azure made its debut in 2010, and Google Compute Engine premiered in 2012.

Cloud 98

Cloud Development Team Review Software Review Systems Review 98

Ivanti

FEBRUARY 18, 2022

As the Everywhere Workplace continues to expand across the world, businesses demand the solutions they choose have the security, speed, reliability and the power to handle larger and ever-more complex data while remaining easy to manage, easy to deploy and easy to maintain. Telemetry and analytics. Google Cloud platform support.

Google Cloud 73

Google Cloud Virtualization Hardware Operating System 73

The Citus Data

MARCH 31, 2023

To put a number to it, either 12 (or 13) of the 37 talks—approximately ~32%—are about the Citus extension to Postgres. :) 4 Citus customer talks Citus for real-time analytics at Vizor Games , by Ivan Vyazmitinov of Vizor Games. on-demand talk, security, roles, privileges, PostgreSQL) How to copy a Postgres database? ,

Azure 84

Azure Open Source Virtualization Software Engineering 84

Perficient

JANUARY 27, 2023

DevSecOps is an approach to software development that emphasizes security as a critical aspect of the development process. It is a combination of development (Dev), security (Sec), and operations (Ops) practices that work together to build, test, and deploy secure software.

Tools 111

Tools Software Review Open Source SDLC 111

The Citus Data

SEPTEMBER 12, 2022

Currently our business model revolves around our managed service: Azure Database for PostgreSQL - Hyperscale (Citus). For some of you Citus on Azure may not fit into your plans yet—or perhaps you chose not to use Citus because it was missing some features that were critical for you. Well, not anymore!

Open Source 144

Open Source Azure Software Review Authentication 144

Saviynt

FEBRUARY 19, 2020

Effective monitoring and continuous compliance controls across high velocity applications like Office 365, Teams, Dynamics & Azure AD are paramount. Learn how Saviynt helps organizations manage and secure your Microsoft eco-system. . Microsoft Dynamics 365 provides a rich security model. Microsoft Dynamics. Microsoft Teams.

Azure 36

Azure Compliance Government Authentication 36

Tenable

JUNE 14, 2022

Azure Real Time Operating System. Azure Service Fabric Container. Windows Local Security Authority Subsystem Service. unless you have installed the May 2022 Windows security updates, specifically the updates addressing CVE-2022-26937. this vulnerability can be exploited by a local, authenticated attacker.

Windows 97

Windows Azure SMB Internet 97

Tenable

APRIL 27, 2021

Here's what you should consider when evaluating security vendors. When fully operational, its purpose goes beyond just governing authentication and passwords to managing the crucial access control rights for almost every organizational asset. And Active Directory security hygiene can get ugly fast if not managed or secured properly. .

Azure 98

Azure System Groups Organization 98

Apiumhub

JUNE 12, 2024

Security and Compliance Security is a critical concern for any application. Leading low-code platforms incorporate robust security features, including data encryption, user authentication, and compliance with industry standards such as GDPR and HIPAA.

Software Review 80

Software Review Applications Programming Development 80

KitelyTech

SEPTEMBER 25, 2023

In this article, we will explore the advantages of using AI in mobile app development, from greater efficiency and cost savings to better user experience and improved security. With advanced analytics tools, developers can quickly analyze large amounts of data to identify trends and gain insights into users’ needs. What is AI, Really?

Mobile 52

Mobile Artificial Inteligence Development Software Review 52

Cloud That

NOVEMBER 23, 2022

An Azure account with an active? Azure Subscription? or Azure Pass. Getting Started with Azure Virtual Machines. Creating HTML Website using Azure App Service. Identity Providers for Authentication & Authorization. Securing Cloud Solutions using Key Vault and App Configuration. TABLE OF CONTENT.

Case Study 71

Case Study Azure Study How To 71

InnovationM

MAY 14, 2023

Platforms like Hadoop Distributed File System (HDFS) or cloud-based storage solutions such as Amazon S3 and Azure Data Lake Storage offer fault-tolerant and scalable storage capabilities across clusters of machines. Data Processing and Analytics: Data lakes are not just about storage; they empower advanced analytics.

Data 52

Data Storage Construction Business Intelligence 52

Cloudera

OCTOBER 13, 2020

In the beginning, CDP ran only on AWS with a set of services that supported a handful of use cases and workload types: CDP Data Warehouse: a kubernetes-based service that allows business analysts to deploy data warehouses with secure, self-service access to enterprise data. This is Now.

Cloud 95

Cloud Machine Learning Artificial Inteligence Azure 95

Palo Alto Networks

AUGUST 23, 2021

the third-generation XDR platform that allows security teams to identify and investigate attacks across all endpoint, network, cloud and identity sources from a single console. taking a significant step in our mission to know about and stop all cybersecurity attacks. Announcing Cortex XDR 3.0, Today, we released Cortex XDR 3.0,

Cloud 95

Cloud Artificial Inteligence Machine Learning Analytics 95

OTS Solutions

FEBRUARY 16, 2023

These companies are also responsible for storage, security, computing power, and other important stuff related to their cloud services. Types of Cloud Public Cloud: Public clouds are provided by third parties and can provide services to the public with the help of the internet. Data security concerns are always there.

Cloud 130

Cloud Artificial Inteligence Disaster Recovery Internet 130

Apiumhub

MARCH 12, 2024

Implementation: Using edge computing frameworks like AWS IoT Greengrass or Azure IoT Edge to deploy machine learning models directly on edge devices for real-time data analysis. Implementation: Utilizing tools like Google Anthos or Azure Arc to manage Kubernetes clusters across different cloud environments, providing a unified control plane.

Trends 52

Trends Innovation Cloud Serverless 52

Prisma Clud

JULY 3, 2023

Below, you’ll find more details on the incidents, as well as key findings from the 1,300 organizations mapped to these security issues in the Unit 42 report. Organizations commonly exhibit the vulnerabilities observed in the two cloud breaches, indicating a likelihood that they remain vulnerable to these and similar security incidents.

Cloud 52

Cloud Authentication Azure Policies 52

Cloudera

FEBRUARY 22, 2021

The Cloudera Data Platform (CDP) represents a paradigm shift in modern data architecture by addressing all existing and future analytical needs. Delivering a robust security and governance framework through SDX to support a growing number of users leveraging the data platform.

Data 81

Data Analytics Government Technical Review 81

Openxcell

JULY 18, 2023

Moreover, it assists a wide range of Machine Learning algorithms and provides a network for complex predictive analytics. 3) Microsoft Azure: Cloud Computing platform Microsoft Azure offers a comprehensive suite of cloud-based services meticulously designed to cater to the unique needs of your business.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Open Source 52

Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. Source: The Data Team’s Guide to the Databricks Lakehouse Platform Integrating with Apache Spark and other analytics engines, Delta Lake supports both batch and stream data processing.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Perficient

MARCH 13, 2023

We like the seamless integration with native hyperscaler services like storage and node pools for easy autoscaling, zone awareness for HA, networking and RBAC security with IAM or AAD. This is generally a cheaper and more powerful alternative to the native monitoring systems provided by the hyperscalers like CloudWatch and Azure Monitoring.

Serverless 83

Serverless Azure Metrics AWS 83

Cloudera

DECEMBER 15, 2022

Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), Cloudera customers, such as Teranet , have built open lakehouses to future-proof their data platforms for all their analytical workloads. Enhanced multi-function analytics. Accelerate analytics with materialized view support.

Cloud 78

Cloud Data Analytics Machine Learning 78

CIO

DECEMBER 7, 2023

Supporting enterprise security during a cloud migration can be rife with pitfalls that can derail the initiative and ruin the customer experience. She joined the company in the middle of a corporate cloud transformation initiative and inherited a new Privileged Access Management (PAM) solution as part of an enterprise cybersecurity overhaul.

Enterprise 253

Enterprise Disaster Recovery Authentication Budget 253

Palo Alto Networks

DECEMBER 31, 2020

In addition, the original threat actors behind the attack will undoubtedly update their methods, changing not only indicators of compromise (IOCs) like domain names, but also adversary tactics and tools to evade security controls. Here’s what we’ve added to help protect security teams. New or updated Azure AD service accounts.

Azure 53

Azure Authentication Analysis Groups 53

OTS Solutions

JUNE 9, 2023

These applications are used to manage and streamline various business processes and operations, including customer relationship management, enterprise resource planning, enterprise resources planning, supply chain management, human resource management, and business intelligence and analytics. Express.js

Enterprise 130

Enterprise Applications Development Scalability 130

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive.

Software Review 94

Software Review Technical Review Software Development Team Review 94

OTS Solutions

JUNE 9, 2023

These applications are used to manage and streamline various business processes and operations, including customer relationship management, enterprise resource planning, enterprise resources planning, supply chain management, human resource management, and business intelligence and analytics. Express.js

Enterprise 130

Enterprise Applications Development Scalability 130

Cloudera

FEBRUARY 14, 2022

This now enables hybrid deployments whereby users can develop once and deploy anywhere whether it’s on-premise or on the public cloud across multiple providers (AWS and Azure). It’s no longer driven by data volumes, but containerization, separation of storage and compute, and democratization of analytics. CDE on PVC Overview.

Data Engineering 111

Data Engineering Engineering Data Storage 111

Altexsoft

JUNE 1, 2020

You will also learn what are the essential building blocks of a data lake architecture, and what cloud-based data lake options are available on AWS, Azure, and GCP. A data lake is a central repository used to store both structured and unstructured data for use in analytics, big data processing, and machine learning. Azure Data Lake.

Data 69

Data Cloud Azure Storage 69

Altexsoft

APRIL 22, 2021

Securing access to APIs. Reviewing usage analytics and improving APIs. When a company goes through digital transformation, it starts creating an API catalog and needs an easy way to register APIs, create security and access policies, and a way to track the feasibility of introducing new services. Customer analytics.

Microservices 64

Microservices Weak Development Team Analytics Azure 64