Author: Arie

As SQL Server databases become increasingly targeted by cybercriminals, it’s crucial to adopt proactive security measures. Traditional database security mechanisms, such as access controls, role-based permissions, and firewalls, are important but may not be sufficient to detect advanced threats or malicious insider activities.  In this tutorial, we’ll show you how to integrate AI-powered anomaly detection

Software development teams and professionals are increasingly adopting vibe coding as their preferred approach. Vibe coding involves creating software through instinctual coding methods and minimal planning to achieve quick prototyping or making solutions work immediately. While vibe coding can spark creativity and speed up early development, it usually comes at the cost of security, maintainability,

Ever had that feeling that your phone is listening to you? You mention something random in conversation, and suddenly you’re bombarded with ads about it. Creepy, right? Privacy concerns surrounding AI have always been there. But something fascinating is happening that most techies aren’t talking about yet: multimodal AI models are actually starting to improve

Security has been a major concern in today’s world. Security issues lead to data breaches with consequences such as data loss and financial losses. As a result, there is a need to focus on enhancing security.  The OWASP top 10 is a good guide for DevOps teams to mitigate key web application security risks. Integrating

I’ve worked with a lot of enterprise customers over the years—big ones, too—and a common struggle I see is with their Data Loss Prevention (DLP) policies. Even though they’ve had the product for years, they often face one of two issues: either the policies are too weak and don’t flag anything, or they’re too strict,

Building a full-stack application with Angular (frontend) and Node.js (backend) demands a holistic security approach. Security by design means baking in security from the architecture stage and throughout development, rather than as an afterthought. DevSecOps extends DevOps by integrating security into every phase of the software lifecycle – developers, operations, and security teams share responsibility

Recently, my team encountered a critical production issue in which Apache Airflow tasks were getting stuck in the “queued” state indefinitely. As someone who has worked extensively with Scheduler, I’ve handled my share of DAG failures, retries, and scheduler quirks, but this particular incident stood out both for its technical complexity and the organizational coordination

Early-career developers often struggle with secure coding practices. GitHub Copilot, an AI pair programmer, can assist in writing safer code when used wisely. However, guidance is key; a 2021 study found that approximately 40% of Copilot’s generated code had security vulnerabilities when developers weren’t careful. GitHub responded by upgrading Copilot’s AI model and adding a

The remarkable promise of GenAI-based agentic (AI agents) solutions, coupled with recent improvements in their ability to handle intricate tasks,  has increased the potential for AI agents to manage IT systems. Given the complexity and criticality of IT systems, a key challenge in IT automation is finding reliable ways to evaluate agents before using them

Tagging metadata and tracking SQL lineage manually is often tedious and prone to mistakes in data engineering. Although essential for compliance and data governance, these tasks usually involve lengthy manual checks of datasets, table structures, and SQL code.  Thankfully, advancements in large language models (LLMs) such as GPT-4 provide a smarter and more efficient solution.