AI is reshaping cybersecurity. Here's how Google Gemini shields consumers on-device, while Microsoft Security Copilot automates enterprise detection and response.
A modern search approach unlocks deeper insights, more relevant results, and boosts productivity across organizations; here's how AWS OpenSearch fits into this landscape.
We'll analyze the performance of PostgreSQL full-text search (FTS) versus pattern and regex searching, highlighting trade-offs and execution efficiency.
AI agents expand attack surfaces, demanding safety by design, advanced red teaming, and shared benchmarks to build secure, trustworthy intelligent systems.
A scalable control architecture for cloud data pipelines using Query Vault, controller procedures, and triggers to enable smart restarts, logging, and automation.
With growing computing power for AI and its misuse in cyberattacks like autonomous exploits, deepfake scams, and smart malware becomes even more worrisome.
Small language models (SLMs) offer 90% of the value of large models at a fraction of the cost. Devs can maximize AI ROI by training SLMs on domain-specific data.
In this article, we will explore the value of AI agents, introduce popular agentic AI platforms, and walk through a hands-on tutorial for building a simple AI agent.
Junior developers are shipping features faster with Cursor and GitHub Copilot, while senior engineers question if AI-assisted code is maintainable at scale.
Software keeps growing in complexity while losing touch with business goals. Domain-driven design brings clarity, making systems scalable, meaningful, and built to last.
In modern cloud-native systems, services often run across multiple pods or nodes for scalability and high availability, introducing challenges in data consistency.
AI-first backends let LLMs drive dynamic, personalized API logic in real time replacing static rules. Validation and guardrails keep them reliable and secure.
Choosing the right API architecture depends on your application’s specific needs like it's enterprise integration, user interaction or deep protocol-level communication.
The era of AI autonomously doing the work is here. Agentic AI systems can plan multi-step workflows, make decisions, use tools, and coordinate with other agents.