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Fraud Detection Using Artificial Intelligence and Machine Learning
Introduction For industries such as e-commerce, finance, and insurance where transactional security is paramount, fraud detection is a pressing challenge. Until a decade ago, organizations were relying on predefined rules and thresholds which are often not sufficient to detect fraudulent activities. With the advent of Artificial Intelligence (AI) and Machine Learning (ML), organizations are enabling automated,...
Published on: May 13, 2025 | Source:
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Agile and Quality Engineering: A Holistic Perspective
Introduction Agile has emerged as a widely adopted and effective software development methodology, enabling teams to deliver high-quality products to end-users with increased speed and efficiency. Within Agile frameworks such as Scrum, high-level software requirements or business needs are systematically decomposed into smaller, manageable units known as epics, which are further refined into user stories. Each user...
Published on: May 13, 2025 | Source:How AI Agents Are Transforming Enterprise Automation Architecture
Imagine someone in the early 20s predicting that, in the future, intelligent autonomous systems would be capable of executing tasks and solving problems independently. Fast forward to today, and with the rise of machine learning and natural language processing, humans can now build intelligent agents that seamlessly blend both machine and human capabilities. With this exclusive guide, we will examine the nature of AI...
Published on: May 13, 2025 | Source:Rama 0.2 β A modular Rust framework for building proxies, servers, and clients
We just released Rama 0.2 β a modular, open-source framework in Rust for building proxies, servers, and clients with full control over how network traffic is handled and transformed. Rama is already used in production by companies handling terabytes of traffic daily, and itβs designed to help developers compose network systems from reusable building blocks, similar to how you might approach software architecture with...
Published on: May 13, 2025 | Source:Unmasking Entity-Based Data Masking: Best Practices 2025
Masking data to protect confidentiality has become a mandate more than ever before. As enterprises attempt to mitigate their workloads to multi-tenant cloud environments and data lakes etc., it makes perfect sense to revisit the masking strategies and be prepared for the future. That, too, when compliance regulations have tightened their grip over potential defaulters. That's exactly why entity-based masking is gaining...
Published on: May 13, 2025 | Source:GitHub Issues search now supports nested queries and boolean operators: Hereβs how we (re)built it
Plus, considerations in updating one of GitHub's oldest and most heavily used features. The post GitHub Issues search now supports nested queries and boolean operators: Hereβs how we (re)built it appeared first on The GitHub Blog.
Published on: May 13, 2025 | Source:Scaling DevOps With NGINX Caching: Reducing Latency and Backend Load
In large-scale companies with huge DevOps environments, caching isnβt just an optimization β itβs a survival strategy. Applications teams working with artifact repositories, container registries, and CI/CD pipelines often encounter performance issues that arenβt rooted in code inefficiencies, but rather in the overwhelming volume of metadata requests hammering artifact services or in short binary storage systems, which...
Published on: May 13, 2025 | Source:I built a type-safe .NET casting library powered by AI. It works disturbingly well.
I built ArtificialCast, a type-safe .NET casting library powered by AI. It works disturbingly well. No reflection. No hand-written mappers. Just types, structure, and inference. You can build full workflows with zero logicβand they pass tests. Itβs clean. Itβs typed. Itβs dangerously convenient. And yes, it absolutely should not exist. More context is in the readme in the github repo submitted by /u/Zorokee [link]...
Published on: May 13, 2025 | Source:Top Ways Hackers Exploit Web Applications (and How to PreventΒ Them)
Every website that takes user input is a potential target for an attacker. You might think your app is too small or too new to get noticed, but attackers use tools to scan the web for common security mistakes. If your site is online and has a login f...
Published on: May 13, 2025 | Source:The Role of Retrieval Augmented Generation (RAG) in Development of AI-Infused Enterprise Applications
Introduction Artificial Intelligence (AI) is transforming enterprise applications, enabling businesses to enhance efficiency, improve decision-making, and unlock new opportunities. However, AI adoption is not a one-size-fits-all approachβorganizations integrate AI at different levels depending on their needs, existing infrastructure, and strategic goals. This article explores three categories of AI-infused...
Published on: May 13, 2025 | Source:5 Subtle Indicators Your Development Environment Is Under Siege
Think your organization is too small to be a target for threat actors? Think again. In 2025, attackers no longer distinguish between size or sector. Whether youβre a flashy tech giant, a mid-sized auto dealership software provider, or a small startup, if you store data someone is trying to access it. As security measures around production environments strengthen, which they have, attackers are shifting leftβstraight...
Published on: May 13, 2025 | Source:DGS GraphQL and Spring Boot
Why GraphQL? GraphQL provides a powerful layer to unify data from various backend sources, including databases, REST APIs, and microservices, into a single, consistent API. It enables the creation of flexible APIs that can evolve with changing client applications. Introduction This article will show you how to create an effective application that implements GraphQL using the Netflix DGS framework in the Spring Boot...
Published on: May 13, 2025 | Source:Concourse CI/CD Pipeline: Webhook Triggers
Concourse is an open-source continuous integration and delivery (CI/CD) automation framework written in Go. It is built to scale to any automation pipeline, from minor to complex tasks, and offers flexibility, scalability, and a declarative approach to automation. It is suitable for automating testing pipelines and continuously delivering changes to modern application stacks in various environments. This article will...
Published on: May 13, 2025 | Source:Is the enterprise (actually) ready for AI?
Maryam Ashoori, Head of Product for watsonx.ai at IBM, joins Ryan and Eira to talk about the complexity of enterprise AI, the role of governance, the AI skill gap among developers, how AI coding tools impact developer productivity, what chain-of-thought reasoning entails, and what observability and monitoring look like for AI.
Published on: May 13, 2025 | Source:Can You Really Trust That Permission Pop-Up On macOS?
submitted by /u/klaasvanschelven [link] [comments]
Published on: May 13, 2025 | Source:Traced What Actually Happens Under the Hood for ln, rm, and cat
Recently did a small research project where I traced the Linux system calls behind three simple file operations: Creating a hard link (ln file1.txt file1_hardlink.txt) Deleting a hard link (rm file1_hardlink.txt) Reading a file (cat file1.txt) I used strace -f -e trace=file to capture what syscalls were actually being invoked. submitted by /u/pirate_husky [link] [comments]
Published on: May 13, 2025 | Source:Next-level observability: live breakpoint debugging
On this episode, Ryan chats with Henrik Rexed, Cloud Native Advocate at Dynatrace, about debugging cloud-based applications like you would a local app.
Published on: May 13, 2025 | Source:I hacked a dating app (and how not to treat a security researcher)
submitted by /u/iamkeyur [link] [comments]
Published on: May 13, 2025 | Source:30M QA Engineer -> Integration Lead -> ?
I currently have 5 years experience in QA focusing on automation testing (Playwright & Python), recently got promoted to Integration Lead. Basically Iβm doing the same thing but with applause in the background. In the meantime Iβve put in the bag some experience front & back-end doing some freelancing projects, but I donβt have corporate experience coding. Iβm based in west EU, bringing home 50k/y, now I want...
Published on: May 12, 2025 | Source:π§ͺ YINI β Spec Update + Whatβs Coming
Hi again! This is a brief update on the YINI specification β a lightweight, human-friendly configuration format designed to combine the simplicity of INI with modern clarity and structure. Recent Internal Updates (not yet published) A few changes have already been finalized internally and will be included in the next spec version: Default mode changed to non-strict (lenient) Document terminators like /END are now...
Published on: May 12, 2025 | Source:This is what really matters when building an API
Hi guys, I have tried to explain what is important when building an API from scratch. The article is hosted on Medium, so if you don't have a sub, use the friend link to view the full article: https://medium.com/@domenicosacino21/mastering-apis-what-matters-1e9f72da78d9?sk=712e59fa1dfc356ee80a6d257ee89fbb submitted by /u/Doubleface2121 [link] [comments]
Published on: May 12, 2025 | Source:FlexID - Configurable ID Generator in Go
Hey all! Wanted to share this library I built in Go. It's basically a flexible way to generate random IDs, and you can tailor the schema of your IDs to your particular use case. For example, you might expect to generate thousands of IDs a second over the course of an hour. Or hundreds a minute over a week. Or random bursts of IDs within a millisecond. Or just a handful each day! You might want short, human-friendly...
Published on: May 12, 2025 | Source:Finally Beat the IPL Ticket Bots! My DIY Automation Story (RCB Fan Edition!)
Hey r/India, r/RCB! Been a long-time lurker, first-time poster (kinda!). Just had to share my small victory against the chaotic world of IPL ticket booking. Like many of you, especially fellow RCB fanatics, I was tired of the whole drill: waiting for ticket drops, refreshing like a maniac, only to see "Sold Out" or prices that make your wallet cry. This season, I said "enough is enough!" and decided to get a little...
Published on: May 12, 2025 | Source:Scalable, Resilient Data Orchestration: The Power of Intelligent Systems
Data is the key driver for any intelligent solution, including AI/ML. The accuracy and quality of any AI/ML model are directly proportional to the quality of data, regardless of whether it takes the form of input data, a prompt, or a pre-trained knowledge dataset. Often, the training datasets for AI/ML models originate from multiple sources and undergo various stages of data processing before being transformed into...
Published on: May 12, 2025 | Source:Redis Is Open Source Again. But Is It Too Late?
Redis 8 is now licensed under AGPLv3 and officially open source again. I wrote about how this shift might not be enough to win back the community thatβs already moved to Valkey. Would you switch back? Or has that ship sailed? submitted by /u/abhimanyu_saharan [link] [comments]
Published on: May 12, 2025 | Source:Comprehensive Guide to Property-Based Testing in Go: Principles and Implementation
Traditional unit testing often leaves critical edge cases undiscovered, with developers manually crafting test cases that may miss important scenarios. Property-based testing with Go offers a more robust approach, automatically generating hundreds of test cases to validate your codeβs behavior across a wide range of inputs. Rather than writing individual test cases, you define properties that your code should always...
Published on: May 12, 2025 | Source:AI-Based Threat Detection in Cloud Security
Abstract This article explores how artificial intelligence (AI) is enhancing threat detection in cloud certificate environments. It explicates how dissimilar AI modeling, such as supervised, unsupervised, and reinforcement learning, is used to describe and respond to security measures and threats in cloud environments. The article also wraps up the architecture of AI-powered security systems, including data compendium,...
Published on: May 12, 2025 | Source:Chrisβ Corner: CSS Deep Cuts
Sometimes we gotta get into the unglamorous parts of CSS. I mean *I* think they are pretty glamorous: new syntax, new ideas, new code doing foundational and important things. I just mean things that donβt demo terribly well. Nothing is flying across the screen, anyway.
Published on: May 12, 2025 | Source:Is Agile Right for Every Project? When To Use It and When To Avoid It
Agile has completely changed how teams think about project and task management by introducing flexibility, collaboration, and continuous evolution toward goals. Furthermore, its applicability stretches to software development, product management, and even non-technical fields. With such a multifaceted environment, it is crucial to determine the exact point where Agile can be applied or when it becomes more of a burden....
Published on: May 12, 2025 | Source:Did tech interviews get more difficult thanks to AI?
Hi everyone! Iβm a Software Engineer with over 5 years of experience working as a Full Stack developer. Unfortunately, the startup I was working at is going through a financial crisis, and they laid off almost the entire engineering team, except for the founding engineers. This month, Iβve been going through several interviews, but thereβs a consistent roadblock: the Live Coding stage. Iβll be honest, itβs been a few...
Published on: May 12, 2025 | Source:How to Automate Compliance and Fraud Detection in Finance with MLOps
These days, businesses are under increasing pressure to comply with stringent regulations while also combating fraudulent activities. The high volume of data and the intricate requirements of real-time fraud detection and compliance reporting are fre...
Published on: May 12, 2025 | Source:Beyond speed: Measuring engineering success by impact, not velocity
If velocity is just a tool and not a goal, how do you measure real success for engineering teams?
Published on: May 12, 2025 | Source:Blue Skies Ahead: An AI Case Study on LLM Use for a Graph Theory Related Application
Research activities necessitate the exploration of ideas which may involve significant software development, experimentation, and testing effort. The ability of Large Language Models (LLMs) to generate executable software has been demonstrated in various use cases. This study highlights the positive outcomes of a use case involving a graph theory application. Through a series of successful prompts, functional software...
Published on: May 12, 2025 | Source:Final call for submissions: Join us at the workshop on Computational Design and Computer-Aided Creativity
submitted by /u/sergiommrebelo [link] [comments]
Published on: May 12, 2025 | Source:Unlocking Data with Language: Real-World Applications of Text-to-SQL Interfaces
Introduction It has long been a difficult task to generate precise SQL queries from customers' natural language inquiries (text-to-SQL). Understanding user queries, appreciating the structure and semantics of a particular database schema, and accurately producing executable SQL statements are some of the elements that contribute to the complexity. Large language models (LLMs) have opened up new avenues for text-to-SQL...
Published on: May 12, 2025 | Source: