Businesses around the world are increasingly resorting to SaaS-based applications to run their organisations, offer services to their customers, collaborate with vendors and do more. In this blog, we are going to break down some of the most common types of threats SaaS applications are vulnerable to, so you can identify if you’re experiencing one of them and take corrective actions whenever required.
Ensure your cybersecurity provides you complete visibility, interoperability, scalability, hunting & early detection capabilities, analytics & incident reporting, low latency, and on-demand access to experts. You can take cost-effective approaches like: Assuring DNS Layer Security Zero Trust Security Diagnostic & Prognostic Checks Updated Software, Backed-Up Data, and Cyber Insurance
The low-security levels and a general lack of awareness make Small and Medium-sized Businesses (SMBs) a vulnerable target for cyber attackers. The question arises - how can SMBs protect their operations from cybersecurity threats without burning a hole in their pockets? Ler's find out more in this blog
Microservices software development architecture is meant to address the traditional monolithic approach for building enterprise applications. The term Microservices when separated, ‘Micro’ and ‘Services’ as it suggests is a collection of smaller services that is part of a larger system. Familiarizing yourself with the key components of the architecture will help your team achieve a successful migration.
Cloud Operations (CloudOps) refers to the management activities of cloud-native applications and the underlying processes that keep the infrastructure up and running. But with these advantages comes challenges as well, understanding common issues will help your team prepare before implementing CloudOps practices.
Site reliability engineering (SRE) is the practice of using software engineering principles and applying them to operation and infrastructure procedures and problems. The goal is to create highly reliable and scalable software systems.
Just before the invasion of Ukraine by Russian forces on February 24th, various cybersecurity companies revealed that a data wiper attack known as HermeticWiper was used against a number of Ukrainian organizations. Let's Understanding the Impact and How to Protect Against the Threat.
Security is top of mind in today’s evolving business landscape. Companies require the scalability and flexibility that a multi-cloud environment offers but securing it demands the same amount of focus. While this digital transformation trend will surely continue, what challenges may companies face and what are some ways we can work to mitigate? In this article, we’ll explore different approaches and how to stay secure in a multi-cloud environment.
A shared responsibility model is a cloud security structure that governs the security oversight of a cloud infrastructure and its components and dictates accountability to the vendor or customer and its users. But as companies move to Public Cloud Solutions, the security model changes and defining who is accountable for which component of the infrastructure can be complicated. Where does the vendor’s security responsibility stop and where does the customer’s obligations begin? Let's find out in this article.
A successful API integration provides many conveniences and benefits, the US government says, understanding the advantages of API production allows you to coordinate with system owners and other stakeholders to modernize the agency’s systems and unlock the sizable potential. As you begin the process to build an API integration, consider the following tips to maximize business and implementation success.
Data drives business decisions small and large, companies that are aware of industry trends can better innovate and be ahead of the curve. In this article, we’ll cover what Data Analytic Trends in 5 Key Areas we’ve seen gaining traction and we’d expect continued growth and industry adoption you may benefit from.
Observability and monitoring defined in the simplest terms can be viewed as, monitoring is to tell you when something goes wrong in your system, and observability is to help you understand why. Despite the distinctions between these definitions, the underlying goal of both is to achieve better visibility into systems. In this article we’ll explore the differences and how both work together.
Introduction to PowerBI Custom Visual Development Careers Home Blogs Introduction to PowerBI Custom Visual Development PowerBI is a data visualization and data analytics service from Microsoft. You can easily create dashboards and reports with interactive
Log4j Vulnerability What You Need to Know and How to Address Immediately Home Blogs Log4j Vulnerability – What You Need to Know and How to Address Immediately NIST has announced a zero-day global vulnerability (CVE-2021-44228)
Google Chronicle Security – Threat Detection & Hunting Home Blogs Google Chronicle Security – Threat Detection & Hunting Chronicle Security is a cloud service, which is built as a specialized layer on the top of
Crest Data Systems joins the Datadog Marketplace Home Blogs Crest Data Systems joins the Datadog Marketplace NEW YORK — Crest Data Systems, a market leader in building Analytics, Security and DevOps integrations, announced today a
Visual Regression Testing with WebdriverIO Home Blogs Visual regression testing with WebdriverIO Why is Regression testing important? Visual regression testing is the process of validating visual elements of an application or website to ensure that
Introduction to Cypress Automation Testing Home Blogs Introduction to Cypress Automation Testing A Comparison of Testing Types “A good programmer is someone who always looks both ways before crossing a one-way street” – Doug Linder.
Are you looking to gain insights from security logs, machine data, sensors, social media, and other Big Data sources? Using AI powered by machine learning, we help build a sophisticated data analytics solution for your
Two of the most popular package managers among the web development community are npm (Node Package Manager) and Yarn.
Accessible content has been an increasingly important feature in various software products. To facilitate these accessibility goals, major web frameworks have been adopting accessibility design patterns into their respective libraries.
Security information and event management (SIEM) solutions collect a range of security and other data from security controls and devices throughout the IT environment.
The web is fundamentally designed to work for all people, regardless of their hardware, software, language, location or ability, enabling the access to people with a diverse range of hearing, movement, sight, and cognitive ability.
Splunk Mission Control attempts to reinvent security operations, it’s a unified security operations platform that brings together security data, analytics, and operations under one umbrella.
SonarQube is a Code Quality Assurance tool that collects and analyzes source code, and provides reports for the code quality of your project.
Nexus OSS is a free artifact repository with universal format support. It provides a single source of truth for all your components, binaries, and build artifacts, as well as efficiently distribute parts and containers to developers.
Site Reliability Engineering is a branch of engineering focused on reliability of systems, services, and products. Uptime, Resource Utilization, and Forecasting, System Reliability, Change Control, Systems Integration are all at the forefront and concerns of SRE.
Vulnerability management is the process of identifying, classifying, prioritizing, remediating, and mitigating software vulnerabilities. It is crucial to computer security and network security.
There are two ways you may create a connector. One inbuilt App is available in the store which you may use. And one you may design your own custom connector.
Simplifying Threat Hunting & Remediation by harnessing Chronicle Backstory capabilities with Demisto’s Intelligence orchestration.
Splunk offers an expansive processing language that enables a user to be able to reduce and transform large amounts of data from a dataset, into specific and relevant pieces of information.
While developing Splunk apps and add-ons, we rely heavily on Python for various third-party integrations. Even though tested, Sometimes we run into issues when the code actually gets executed inside Splunk’s Python environment.