News Aggregator

Honeytokens for Peace of Mind: Using Cyber Deception To Buy Time to Remediate at Scale

Aggregated on: 2024-01-15 17:31:50

No matter what part of the organization you work in, there is one thing everyone wants: a good night's sleep. Everybody, from operations to security to development, wants peace of mind that all the doors are locked, all the networks are protected, and the organization and customers are safe. We also rest easier when we know that if anything does go wrong, there is a process in place that will alert you only in the correct circumstances and make remediation straightforward. If you have been tackling the realities of secrets sprawl, getting a handle on all the hardcoded credentials in your organization, then we understand the stress and the restless nights that can bring. Even a small team can add hundreds of secrets a year, so when it is time to prioritize and start working to resolve the known incidents, it can seem overwhelming.

The Ultimate Commit

Aggregated on: 2024-01-15 15:46:50

Developers around the world commit changes every day. Does that mean this small part of every development process might have a big impact? Can we get for some reasonable effort cleaner history, auto-versioning for artifacts, and simplified code reviews of complex features? In this article, I will reveal the principles behind The Ultimate Commit to help you improve your development process and drastically reduce the complexity of collaborative development.

Top Data Engineering Tools Every Professional Should Know

Aggregated on: 2024-01-15 15:46:50

In the advancing scene of technology and data, data engineering stands as the basic power force that drives the organization and handling of wide datasets. As the innovators move to investigate this dynamic field, their success relies upon staying proficient in the latest and most compelling tools for creating adaptable information pipelines. Here, let us gather essential data engineering tools that each expert should keep in mind for their toolkit to remain ahead in this rapidly advancing field. What Are Data Engineering Tools? Data engineering tools are customizing applications and stages intended to work with the most widely recognized approach to gathering, storing, handling, and managing gigantic volumes of information. These tools have a critical impact in the field of data engineering, which is based on the pragmatic use of data assortment and handling techniques to address the requirements of data engineers, experts, etc.

Drupal 10 and Its Single Directory Component

Aggregated on: 2024-01-15 15:31:50

Drupal is a good example of a functional CMS. Drupal, in a nutshell, is a free and open-source content management system (CMS) that enables users to quickly construct and manage websites. It is written in PHP and supports a variety of content kinds, such as text, photos, videos, and more. Drupal offers a flexible and highly adaptable foundation for website development, making it suited for a wide range of applications, from personal blogs to huge enterprise sites.

Artificial Intelligence (AI) Revolutionizes the Oil Industry, Boosting Production and Efficiency

Aggregated on: 2024-01-15 15:31:50

The oil industry has been a significant contributor to global economies, providing essential energy resources. In recent years, the industry has experienced rapid advancements, primarily due to the integration of artificial intelligence (AI) technologies. AI has proven to be a game-changer, revolutionizing various aspects of oil production. 1. Predictive Maintenance and Equipment Optimization Artificial intelligence algorithms can analyze vast amounts of data from sensors installed in different equipment components, detecting patterns and predicting failures before they occur. By implementing AI-driven predictive maintenance, oil companies can minimize downtime, reduce maintenance costs, and optimize the lifespan of equipment. Intelligent systems can also optimize the performance of drilling equipment by utilizing historical data and real-time monitoring, resulting in increased productivity and higher oil recovery rates.

Fueling the Future: How Tech Funding Empowers IT Consultants in AI/ML and Cybersecurity

Aggregated on: 2024-01-15 15:01:50

The IT landscape is undergoing a seismic shift, propelled by the twin engines of artificial intelligence (AI) and machine learning (ML) on one hand, and the ever-evolving threat landscape in cybersecurity and data breaches threat on the other. This digital revolution presents both challenges and opportunities for IT consultants, but navigating it successfully requires continuous learning and skill development. This is where tech funding for IT consultants emerges as a game-changer, offering critical fuel for career advancement in these high-demand fields. The Global Landscape While the focus has been on tech funding within established nations, it's crucial to recognize the growing potential of IT consultants in developing economies. Targeted funding initiatives for these regions can bridge the digital divide, fostering local expertise in AI/ML and cybersecurity. This not only empowers consultants in these countries but also opens up new avenues for global collaboration and knowledge exchange, leading to a more inclusive and equitable digital future.

Designing a Rest API Part 1: Naming Syntax

Aggregated on: 2024-01-15 14:46:50

This article is the first in a series of great takeaways on how to craft a well-designed REST API. As you read through the articles you will learn how to form an API in a way that is easy to expand, document, and use. The articles will not cover implementation details(eg. no code samples). Still, any suggestions given here will be possible to implement in any proper framework like Spring Boot, .Net Core MVC, NestJS, and others.

Unlocking the Power of Configuration Management Database (CMDB)

Aggregated on: 2024-01-15 13:31:50

In the dynamic realm of IT infrastructure management, organizations are increasingly turning to sophisticated tools to streamline processes, enhance efficiency, and ensure the robustness of their systems. At the heart of this digital transformation lies the Configuration Management Database (CMDB), a powerful repository that provides a comprehensive and organized view of an organization's IT assets and configurations. In this article, we explore the significance of CMDB in infrastructure management and delve into its myriad advantages for optimizing IT operations. 1. Understanding CMDB: A Holistic View of IT Assets CMDB is a centralized database that acts as a repository for detailed information about an organization's IT assets, configurations, and relationships. It serves as a foundational element in IT Service Management (ITSM) and plays a crucial role in facilitating efficient decision-making, change management, and overall infrastructure governance.

SQL Data Storytelling: A Comprehensive Guide

Aggregated on: 2024-01-15 13:31:50

Data storytelling is the process of combining complex data from various sources to present and communicate various business insights in a concise, visual, and analytical form. The goal is to help businesses make informed decisions by presenting data in a meaningful and actionable manner. Why Is It Important in Today’s Data-Driven World? It is an essential soft skill because in the vast swathes of data that we deal with in today’s world, it is very easy to get lost and not make the best use of the data there is. There is a need for concise delivery of data analysis and findings to non-technical business stakeholders to make any kind of actionable insights.

Setting Up a Docker Swarm Cluster and Deploying Containers: A Comprehensive Guide

Aggregated on: 2024-01-15 12:46:50

Docker Swarm is a powerful orchestration tool that allows you to manage and deploy containers in a cluster environment. It provides features for load balancing, scaling, and ensuring high availability of your containerized applications. In this comprehensive tutorial, we will walk you through the process of setting up a Docker Swarm cluster and deploying Docker containers within it. This guide assumes you have a basic understanding of Docker and containerization concepts. Introduction to Docker Swarm What Is Docker Swarm? Docker Swarm is a native clustering and orchestration solution for Docker containers. It enables you to create a group of Docker hosts as a single, virtualized system, allowing you to manage containers across multiple machines. Docker Swarm provides features like load balancing, scaling, service discovery, and high availability for your containerized applications.

Guarding the Digital Fortress: A Comprehensive Guide to Intrusion Detection and Prevention Systems

Aggregated on: 2024-01-14 20:31:50

The need for comprehensive cybersecurity has never been higher in our linked world, where data travels freely and systems are more entangled than ever before. Threats emerge in tandem with the digital ecosystem. Intrusion Detection and Prevention Systems (IDPS) are mainstays in the battle against cyber attacks among the various tools and tactics available to cybersecurity experts. In this detailed guide, we dig into the realm of IDPS, investigating their role, kinds, implementation, problems, and the ever-changing cybersecurity landscape. The Growing Need for Cybersecurity The digital revolution has transformed the way we work and live. It’s redefined the boundaries of communication, commerce, and connectivity. However, this transformation has brought with it new challenges. As our dependence on the digital realm increases, so too does our exposure to cyber threats.

Cloud Computing's Role in Transforming AML and KYC Operations

Aggregated on: 2024-01-14 19:46:50

The onset of the COVID-19 pandemic in 2019 marked a pivotal moment in human history, presenting unprecedented challenges that extended beyond healthcare into the realms of psychology, economics, and various industrial sectors. High-contact services, including education, retail, foodservice, and notably the banking and financial sector, were significantly impacted. This paradigm shift in human behavior, characterized by a transition to remote environments and increased teleworking, inadvertently created new avenues for financial crimes, intensifying the workload for compliance teams. Financial institutions, traditionally reliant on legacy IT infrastructures and disparate web applications, faced considerable operational and regulatory risks. These archaic systems, scattered across multiple platforms, resulted in inefficiencies and a fragmented customer view, compounded by the challenges of remote access to secure legacy systems.

Building Your Own Automatic Garbage Collector: A Guide for Developers

Aggregated on: 2024-01-14 19:01:50

Java's automatic memory management is one of its most notable features, providing developers with the convenience of not having to manually manage memory allocation and deallocation. However, there may be cases where a developer wants to create a custom Java automatic memory management system to address specific requirements or constraints. In this guide, we will provide a granular step-by-step process for designing and implementing a custom Java automatic memory management system. Step 1: Understand Java's Memory Model Before creating a custom memory management system, it is crucial to understand Java's memory model, which consists of the heap and the stack. The heap stores objects, while the stack holds local variables and method call information. Your custom memory management system should be designed to work within this memory model.

Why Companies Are Moving Back to On-Premise From the Cloud

Aggregated on: 2024-01-14 18:46:50

The past few years have made cloud computing an undisputed king of IT infrastructure in business. Companies flocked to the cloud for cost-efficiency, scalability, and flexibility. The online survey portals show that the cloud adoption rate among enterprise organizations is over 94 percent. This is indeed a great adoption rate, and it's also being noted that the cloud computing market will be worth around $832.1 billion by 2025. Despite such a great cloud computing adoption rate, a counterintuitive trend of moving back to on-premise from the cloud has emerged. Yes, this is true. Now many companies have decided to reevaluate their strategies and get to on-premise solutions. This shift has raised some questions in everyone's mind.

Strengthening Cybersecurity: The Role of Digital Certificates and PKI in Authentication

Aggregated on: 2024-01-14 15:31:50

Data protection remains integral in our wide digital world. Amid serious cyber threats, a strong cybersecurity plan needs to be formulated, and at the epicenter of it lies a silent guardian: authentication. The global public key infrastructure (PKI) market is anticipated to grow from USD 1.3 billion in 2018 to USD 5.5 billion in 2023 and to surge at a CAGR of 20.2% during the forecast period of 2018-2023, thus reaching USD 13.8 billion by 2028. This has been possible because of the increasing awareness amidst enterprises, small and large, across industries on the paramount need for the protection of sensitive data, securing digital identities, and ensuring the integrity of digital transactions. This piece explores how digital certificates and Public Key Infrastructure (PKI) play a pivotal role in strengthening cybersecurity defenses.

Demystifying Basics of Async/Await in Python

Aggregated on: 2024-01-14 15:01:50

The ‘asyncio’ is a Python module that provides support for writing asynchronous code using the async/await syntax. It is designed to handle asynchronous I/O operations efficiently, making it well-suited for building concurrent and scalable applications. Understanding ‘Async’ In Python, the 'async' keyword helps in defining the asynchronous functions or coroutines. The foundation of 'asyncio' module relies on these coroutines, which are like special functions whose execution can pause and let another coroutine take over for processing. When we add the 'async' keyword before a function, the regular function transforms into a coroutine ‘async def fetch():’

Efficiently Transforming JDBC Query Results to JSON

Aggregated on: 2024-01-13 21:31:49

Many enterprise data is stored in relational databases and accessed via SQL queries. Many web services are little more than HTTP-based wrappers around such queries. For example, the following service method (built using the open-source Kilo framework) retrieves all rows from an employees table and returns the results to the caller as JSON:

Unraveling CAPTCHA: A Comprehensive Insight Into Its History, Applications, and Efficiency

Aggregated on: 2024-01-13 21:31:49

CAPTCHA, which stands for “Completely Automated Public Turing Test to Tell Computers and Humans Apart,” is a well-known security measure used to identify between bots and real users on the internet. Let’s look at its origins, evolution, applications, and limits. History of CAPTCHA The inception of CAPTCHA dates back to the late 1990s when researchers at Carnegie Mellon University led by Luis von Ahn, Manuel Blum, and others, sought a solution to prevent automated bots from infiltrating online platforms.

Unlocking the Secrets of Data Privacy: Navigating the World of Data Anonymization: Part 2

Aggregated on: 2024-01-13 14:31:49

In the first part of this series, we discussed the importance, ethical considerations, and challenges of data anonymization. Now, let's dive into various data anonymization techniques, their strengths, weaknesses, and their implementation in Python. 1. Data Masking Data masking, or obfuscation involves hiding original data with random characters or data. This technique protects sensitive information like credit card numbers or personal identifiers in environments where data integrity is not critical. However, confidentiality is essential, such as in development and testing environments. For instance, a developer working on a banking application can use masked account numbers to test the software without accessing real account information. This method ensures that sensitive data remains inaccessible while the overall structure and format are preserved for practical use.

Adding OpenSSL Generated Certificates to Your Server: A Comprehensive Guide

Aggregated on: 2024-01-13 10:01:49

In the current digital environment, where cyber threats are constantly changing, protecting your server is essential. Utilizing SSL/TLS certificates to encrypt data transferred between your server and clients is one of the fundamental components of server security. To create these certificates, OpenSSL is a flexible and popular tool. The process of adding OpenSSL-generated certificates to your server will be covered in detail in this guide, along with the key ideas and procedures you need to follow to make sure your server is secure. Table of Contents Understanding SSL/TLS Certificates 1.1 What are SSL/TLS Certificates? 1.2 Why are SSL/TLS Certificates Important? Generating SSL/TLS Certificates with OpenSSL 2.1 Installing OpenSSL 2.2 Generating a Self-Signed Certificate 2.3 Creating a Certificate Signing Request (CSR) 2.4 Obtaining a Certificate from a Certificate Authority (CA) Preparing Your Server 3.1 Installing Necessary Software 3.2 Configuring Your Server Adding SSL/TLS Certificates to Your Server 4.1 Certificate Files Overview 4.2 Installing SSL/TLS Certificates 4.3 Configuring Web Server Software 4.4 Testing Your SSL/TLS Configuration Renewing and Managing Certificates 5.1 Certificate Expiry and Renewal 5.2 Certificate Revocation 5.3 Backup and Restoration Best Practices for SSL/TLS Certificate Management 6.1 Regular Updates and Monitoring 6.2 Implementing Strong Security Practices 6.3 Continuous Education and Awareness Conclusion Understanding SSL/TLS Certificates 1.1 What Are SSL/TLS Certificates? Cryptographic protocols like SSL (Secure Sockets Layer) and TLS (Transport Layer Security) are used to protect communication between a client (like a web browser) and a server. SSL/TLS certificates are digital documents that include a public key and information about the identity of the certificate holder, which is typically a website. By encrypting the information sent between the two parties, these certificates are essential in establishing a secure connection.

Implementing Persistence With Clean Architecture

Aggregated on: 2024-01-12 23:01:49

Over a decade has passed since Robert C. Martin posted an article about Clean Architecture on the Clean Coder Blog (in 2012). Later (in 2017) it was followed up by an entire book about the same topic. This tutorial is not aimed to argue pro or contra the concept but is written to present some practical aspects on how to implement the persistence layer followed by the idea of Clean Architecture. One aspect discussed in this topic is that the business core (which is normally referred to as being "inner") must not depend on any technical or environmental details (referred to as being "outer"). The motivation behind this rule is to express importance: in other words, less important parts of the code shall depend on more important, but not the other way around. In this regard, business logic is important (as that is the point why the given software exists); how it is deployed and how data is stored is less important. This has several implications. For example, one implication is that none of the business classes shall be annotated by framework-related annotations; in practice, no Spring annotations on classes with business logic, no JPA annotations on entities that these classes are working on, etc.

Shifting Left: How Modern DevOps Is Changing the Software Development Landscape

Aggregated on: 2024-01-12 21:01:49

In the early days of software development, the process was often sequential and compartmentalized. Developers wrote the code and then handed it off to Quality Assurance (QA) for testing. This model, sometimes referred to as the "waterfall" approach, often led to quality issues and delays as problems were discovered late in the cycle. Enter the concept of Shifting Left – the idea of applying processes and practices earlier in the life cycle. Understanding DevOps and Shifting Left DevOps, a combination of "Development" and "Operations", is a set of practices that aims to shorten the system development life cycle and provide continuous delivery with high software quality. Shifting Left is a paradigm shift in DevOps, revolving around the idea of incorporating quality assurance and testing processes much earlier in the development cycle, hence "Left"— as in, to the left on the timeline of a project.

Set Theory Fundamentals For Software Testing

Aggregated on: 2024-01-12 20:46:49

Set theory while central to the mathematical underpinnings of software testing, ironically lacks an explicit definition. This article delves into the nuanced world of set theory. We explore the fundamental aspects of sets - collections of elements unified under a common characteristic, such as the months with exactly 30 days. This concept is pivotal for software testing, enabling testers to group and analyze data efficiently. Set Membership Understanding set membership is crucial for software testing. Each element's belonging or exclusion from a set is symbolically represented, aiding in precise categorization. For instance, recognizing that April belongs to the set of 30-day months while December does not is a key concept in test case design and data validation. Let's see two examples:

AI for Web Devs: Your First API Request to OpenAI

Aggregated on: 2024-01-12 20:46:49

Welcome back to the series where we are learning how to integrate AI products into web applications: Intro & Setup Your First AI Prompt Streaming Responses How Does AI Work Prompt Engineering AI-Generated Images Security & Reliability Deploying Last time, we got all the boilerplate work out of the way.

NiFi In-Memory Processing

Aggregated on: 2024-01-12 20:16:49

Apache NiFi is an easy-to-use, powerful, highly available, and reliable system to process and distribute data. Made for data flow between source and target systems, it is a simple robust tool to process data from various sources and targets (find more on GitHub). NiFi has 3 repositories: FlowFile Repository: Stores the metadata of the FlowFiles during the active flow Content Repository: Holds the actual content of the FlowFiles Provenance Repository: Stores the snapshots of the FlowFiles in each processor; with that, it outlines a detailed data flow and the changes in each processor and allows an in-depth discovery of the chain of events NiFi Registry is a stand-alone sub-project of NiFi that allows version control of NiFi. It allows saving FlowFile state and sharing FlowFiles between NiFi applications. Primarily used to version control the code written in Nifi.

The Challenges and Pitfalls of Using Executors in Java

Aggregated on: 2024-01-12 18:01:49

In the world of concurrent programming, Java's Executors framework has been a boon for developers looking to manage and coordinate multiple tasks efficiently. Executors provide a high-level abstraction for managing threads, making it easier to parallelize tasks and optimize resource utilization. However, like any powerful tool, Executors come with their own set of challenges and pitfalls that developers must be aware of to avoid potential issues and problems. In this article, we will explore the common issues and problems encountered when using Executors in Java, along with examples to illustrate these challenges. Understanding Executors in Java Before diving into the issues, let's briefly review what Executors are and how they work in Java. An Executor is an interface in the java.util.concurrent package that provides a higher-level replacement for manually managing threads. Executors are part of the Java Concurrency Framework and offer a way to decouple the task submission from the task execution, allowing for more efficient thread pooling and task coordination.The core components of the Executor framework include:

4 Best Practices for Your API Versioning Strategy

Aggregated on: 2024-01-12 17:46:49

APIs need to change over time. Features are added, bugs are fixed, and changes are made. How can you introduce and track changes without breaking client applications? API versioning is the answer. By versioning your API, you work toward building a robust and scalable product. What Is API Versioning? Versioning an API is the process that allows tracking changes and managing the API's various iterations. Essentially, versioning allows you to create multiple API versions that that coexist but operate independently of each other. That way, new features can be added, updates can be made, and old features can be removed with minimal disruption of service to the user.

2023 in Retrospective

Aggregated on: 2024-01-12 15:46:49

Last year, I wrote my first yearly retrospective. I liked the experience, so I'm trying one more time. Let the future decide if it will become a trend or not. Before diving into our safe technological world, my thoughts go to Ukraine, to my friends who had to flee their own country, to other friends who fought on the front to defend it from imperial power, and to all victims of an old kleptocrat who clings to power despite the cost to others. The free world needs to support Ukraine more. I hope 2024 will be the year of Ukrainian victory.

How Artificial Intelligence and Data Management Interconnect

Aggregated on: 2024-01-12 15:46:49

Artificial Intelligence (AI) and Data Management have a strong connection, with AI playing a significant role in enhancing and automating various data management tasks. Data Integration and Automated Processing AI algorithms can be used to automate data integration processes, where disparate data sources are combined and transformed into a unified format. AI can help in identifying patterns and relationships across different datasets, leading to more accurate and efficient data integration.

The Essential Guide To Effective Software Testing

Aggregated on: 2024-01-12 15:01:49

Imagine that your organization has been exhaustively focused on developing a software product and is now eagerly anticipating the release of that product. However, as the launch day arrives, the reality of the product reveal is a disappointment because the application is swarmed with flaws and bugs despite its appealing design and impressive features. Thinking how can this be prevented? Well, the answer is pretty simple, and it lies in software testing services.

Chaos Engineering and Machine Learning: Ensuring Resilience in AI-Driven Systems

Aggregated on: 2024-01-12 14:01:49

Artificial Intelligence (AI) and Machine Learning (ML) are transforming industries, from healthcare and finance to autonomous vehicles and Algorithmic trading. However, ensuring their resilience and reliability is crucial as AI and ML systems become increasingly integral to our daily lives. This is where Chaos Engineering steps in, offering a novel approach to test and enhance the robustness of AI-driven systems. The Rise of AI-Driven Systems AI and ML have ushered in a new era of automation and decision-making. These technologies offer unprecedented opportunities, from predicting customer behavior to optimizing supply chains. However, their complexity and reliance on large datasets make them susceptible to various failure modes, including:

Data Management in 2024

Aggregated on: 2024-01-12 13:46:49

What data management in 2024 and beyond will look like hangs on one question. Can open data formats lead to a best-of-breed data management platform? It will take Interoperability across clouds and formats, as well as on the semantics and governance layer. Sixth Platform. Atlas. Debezium. DCAT. Egeria. Nessie. Mesh. Paimon. Transmogrification.

Deep Dive Into AI’s Inheritance Into Software Development

Aggregated on: 2024-01-12 13:46:49

Software development is poised to embark on a journey into a world of automation fueled by the power of Artificial Intelligence (AI). From generating code faster than ever to putting out bugs and optimizing performance better than ever, AI is ramping up the world of software development services. But this high-speed journey doesn't come without its bumpy roads, as ethical concerns and biased algorithms threaten to throw a wrench in the works. So, buckle up as we dig through the twists and turns of this epic journey of AI services in the software development industry.

A Comprehensive Guide to Multipass: Simplifying Virtual Machine Management

Aggregated on: 2024-01-12 13:01:49

We now manage and deploy computing resources in completely new ways thanks to virtualization. The ability to create and manage virtual machines (VMs) is essential for anyone interested in technology, whether they are programmers, system administrators, or just tech enthusiasts. A simple method for creating and managing virtual machines on your local machine is offered by Multipass, an open-source program created by Canonical. This comprehensive guide will provide in-depth coverage of Multipass’ installation, use, and numerous advanced features. Introduction To Multipass What Is Multipass? An easy-to-use, cross-platform command-line tool called Multipass makes it possible for you to set up and control Linux virtual machines on your local system. Multipass, created by Canonical, the organization responsible for Ubuntu, makes use of cloud-init, cloud images, and snap packages to offer a seamless environment for running and testing applications in isolated environments.

Build a Streamlit App With LangChain and Amazon Bedrock

Aggregated on: 2024-01-12 13:01:49

It’s one thing to build powerful machine-learning models and another thing to be able to make them useful. A big part of it is to be able to build applications to expose its features to end users. Popular examples include ChatGPT, Midjourney, etc. Streamlit is an open-source Python library that makes it easy to build web applications for machine learning and data science. It has a set of rich APIs for visual components, including several chat elements, making it quite convenient to build conversational agents or chatbots, especially when combined with LLMs (Large Language Models).

Top Software Development Trends To Look For in 2024

Aggregated on: 2024-01-12 12:46:49

The software development landscape is constantly evolving with new technologies, techniques, and priorities. As we enter 2024, several key trends are poised to have a major impact on how software teams operate and the kinds of applications they build. Getting a head start on understanding these trends can help developers, designers, product managers, and technology leaders better meet user needs in the years ahead. Low-Code/No-Code Tools One of the biggest ongoing tech trends is the expansion of low-code/no-code development platforms that allow people with little to no coding experience to build applications. As these tools become more advanced and flexible, expect them to transform software creation in 2024 by opening development to non-technical personnel. Features like visual programming interfaces, drag-and-drop components, and AI assistance will provide faster and easier app generation for businesses looking to digitize operations without heavy coding skills.

Implementing Fraud Detection Systems Using Machine Learning Models

Aggregated on: 2024-01-11 20:46:48

Most traditional fraud detection systems are slow, inaccurate, and outdated. Machine learning models can react swiftly and adapt constantly, making them the ideal alternative. Developers who properly train and implement these algorithms can prevent fraudulent activity at a scale never before seen. Why Use Machine Learning Models for Fraud Detection? Fraud is growing more severe every year, causing increasingly significant damage. Online payment fraud caused $41 billion in e-commerce losses in 2022 alone. Conventional detection systems are no longer effective.

AI Helps With the Implementation of Simulated Cyber Defense Techniques

Aggregated on: 2024-01-11 20:16:48

Advances in AI technology are playing a crucial role in the evolution of the cybersecurity sector. Markets and Markets reports that global companies will spend over $60 billion on AI-driven cybersecurity solutions in 2028. Some of the benefits of AI in cybersecurity include:

The Future Is Headless: Building Modern E-Commerce Experiences With Magento 2 and GraphQL

Aggregated on: 2024-01-11 19:46:48

In the rapidly evolving world of digital commerce, the way we approach online shopping is transforming. E-commerce has come a long way from the early days of simple online storefronts to today's dynamic, multi-faceted shopping experiences. This evolution is not just about technological advancements; it's a response to changing consumer behaviors and expectations. Shoppers today seek not only convenience but also personalized, engaging, and seamless experiences, no matter where they are or what device they're using. One of the key players in this evolution is Magento 2, a platform that has redefined what's possible in the eCommerce space. It's not just an upgrade from its predecessor Magento 1, but a complete overhaul that offers unparalleled flexibility and scalability to meet the needs of modern businesses and consumers alike. Magento 2's robust architecture and rich features position it as a cornerstone for eCommerce success, making it an ideal choice for businesses aiming to expand their online presence and engage a global audience.

Getting Started With Large Language Models

Aggregated on: 2024-01-11 18:46:48

Large language models (LLMs) have emerged as transformative tools, unraveling the complexities of natural language understanding and paving the way for modern applications. The primary purpose of this Refcard is to provide an end-to-end understanding of LLM architecture, training methodologies, as well as applications of advanced artificial intelligence models in natural language processing. Offering an introduction and practical insights on how to navigate the intricacies of harnessing LLMs, this Refcard serves as a comprehensive guide for both novices and seasoned practitioners seeking to unlock the capabilities of these powerful language models.

5 Hard Truths About Generative AI for Technology Leaders

Aggregated on: 2024-01-11 18:46:48

GenAI is everywhere you look, and organizations across industries are putting pressure on their teams to join the race – 77% of business leaders fear they’re already missing out on the benefits of GenAI. Data teams are scrambling to answer the call. But building a generative AI model that actually drives business value is hard.

Jakarta EE Security: Using Identity Stores

Aggregated on: 2024-01-11 17:46:48

As one of the most important aspects of modern business applications and services, the security of the Java enterprise-grade applications didn't wait for the Jakarta EE 10 outbreak. Starting from the first releases of J2EE in early Y2K, security was the crux of enterprise software architecture. It evolved little by little with the gradual development of specifications, but the JSR-375 as we know it today appeared a couple of years ago with Jakarta EE 8, under the name of Java EE Security API 1.0. The current release of the Jakarta EE 10 comes with a major update of Java EE Security API under its new name: Jakarta Security 3.0. The Jakarta Security specifications are organized around a new terminology defined by the following new concepts:

Why We Need Cybersecurity Whistleblowers

Aggregated on: 2024-01-11 17:16:48

The term “whistleblower” can carry wildly different connotations depending on who you’re talking to. While some see the practice as noble, others may associate it with disgruntled employees seeking revenge on their employers. Despite the potential controversy, whistleblowers are an essential part of cybersecurity. Corporate leaders may be uncomfortable with insiders calling them out on their missteps. But when you take an objective, security-minded stance, you’ll see that true whistleblowers do more good than harm. Here are three reasons why.

Fast, Secure, and Highly Available Real-Time Data Warehousing Based on Apache Doris

Aggregated on: 2024-01-11 17:16:48

This is a whole-journey guide for Apache Doris users, especially those from the financial sector, which requires a high level of data security and availability. If you don't know how to build a real-time data pipeline and make the most of the Apache Doris functionalities, start with this post, and you will be loaded with inspiration after reading. This is the best practice of a non-banking payment service provider that serves over 25 million retailers and processes data from 40 million end devices. Data sources include MySQL, Oracle, and MongoDB. They were using Apache Hive as an offline data warehouse but feeling the need to add a real-time data processing pipeline. After introducing Apache Doris, they increase their data ingestion speed by 2~5 times, ETL performance by 3~12 times, and query execution speed by 10~15 times.

Implementation of Data Quality Framework

Aggregated on: 2024-01-11 17:01:48

A Data Quality framework is a structured approach that organizations employ to ensure the accuracy, reliability, completeness, and timeliness of their data. It provides a comprehensive set of guidelines, processes, and controls to govern and manage data quality throughout the organization. A well-defined data quality framework plays a crucial role in helping enterprises make informed decisions, drive operational efficiency, and enhance customer satisfaction. 1. Data Quality Assessment The first step in establishing a data quality framework is to assess the current state of data quality within the organization. This involves conducting a thorough analysis of the existing data sources, systems, and processes to identify potential data quality issues. Various data quality assessment techniques, such as data profiling, data cleansing, and data verification, can be employed to evaluate the completeness, accuracy, consistency, and integrity of the data. Here is a sample code for a data quality framework in Python:

AI Fairness 360: A Comprehensive Guide for Developers

Aggregated on: 2024-01-11 16:46:48

Artificial Intelligence (AI) has changed many areas, like healthcare and finance, by bringing new solutions and making things more efficient. Yet, this quick growth has led to a big problem: AI bias. AI systems learn from data. If this data has biases from past unfairness, social stereotypes, or uneven sampling, AI models might continue and even increase these biases. This issue is really important in areas like credit scoring, hiring, and law enforcement. In these fields, biased decisions can greatly affect people's lives. It's very important to understand and deal with AI bias. Biases can show up in different ways, like biases against a certain gender, race, or age. This can lead to some groups being treated unfairly. For example, if a hiring tool is trained mostly on data about one gender, it might favor that gender. Or, a credit scoring system that shows past economic differences might lead to some people unfairly getting denied loans. These biases are not just ethical problems but can also cause legal and reputation problems for companies using AI.

Event-Driven Process Orchestration: A Practitioner’s Viewpoint

Aggregated on: 2024-01-11 16:16:48

Customers today seek agile, nimble, flexible, and composable services. Services that are unhindered and unencumbered. Services that are easy to access and even easier to experience. Services that are quick and precise. These factors affect the collective CSAT and NPS of a modern-day enterprise. Enterprises acknowledge this, and hence, around 85% of medium to large-sized enterprises are already using the microservices architecture. The distributed architecture of microservices applications renders the components of the applications independent, decentralized, failure resistant, maintained, and upgraded in isolation, therefore fueling self-sufficiency, scalability, system reliability, and simplified service offerings. However, while microservices architecture readies the application for agile servicing, true customer experience arises not solely from the decoupled application components but the way in which every step in a customer success workflow triggers a logical subsequent step automatically to ensure customer delight. This is because as the business process extends and more components get added, “cohesion chaos” can become a reality. The absence of proper orchestration of process steps in a logical flow, keeping the customer end goal in mind, can quickly render the supposed benefits of the microservices landscape futile.

The Future of Resource Management Software: Trends and Predictions

Aggregated on: 2024-01-11 16:16:48

What role is resource management software predicted to play in the future? To know more about it, we need a complete investigation. It may reveal more trends and forecasts that promise to revolutionize resource allocation and business optimization. Here, we will explore how cutting-edge innovations are influencing existing resource management software and how these tools will develop in 2024. Are you eager to set your company up for growth this year? Let's begin.

Open Source Instant Messaging (IM) Project OpenIM Source Code Deployment Guide

Aggregated on: 2024-01-11 16:01:48

Deploying OpenIM involves multiple components and supports various methods, including source code, Docker, and Kubernetes. This requires ensuring compatibility between different deployment methods while effectively managing differences between versions. Indeed, these are complex issues involving in-depth technical details and precise system configurations. Our goal is to simplify the deployment process while maintaining the system's flexibility and stability to suit different users' needs. Currently, version 3.5 has simplified the deployment process, and this version will be maintained for a long time. We welcome everyone to use it. 1. Environment and Component Requirements Environmental Requirements Note Detailed Description OS Linux system Hardware At least 4GB of RAM Golang v1.19 or higher Docker v24.0.5 or higher Git v2.17.1 or higher Storage Component Requirements Storage Component Recommended Version MongoDB v6.0.2 or higher Redis v7.0.0 or higher Zookeeper v3.8 Kafka v3.5.1 MySQL v5.7 or higher MinIO Latest version 2. Deploying OpenIM Server (IM) 2.1 Setting OPENIM_IP Shell # If the server has an external IP export OPENIM_IP="external IP" # If only providing internal network services export OPENIM_IP="internal IP"

Improving Efficiency: LinkedIn’s Transition From JSON to Protocol Buffers

Aggregated on: 2024-01-11 15:46:48

Programs usually work with data in at least two different representations: In memory representation: In memory, data is kept in objects, structs, lists, arrays, hash tables, trees, and so on. These data structures are optimized for efficient access and manipulation by the CPU. Data on file and data over the network: When you want to write data to a file or send it over the network, you need to convert it as a self-contained sequence of bytes.