Prompt Injection in the Wild: Real Case Studies and How to Defend Your Agents
Real-world case studies of prompt injection attacks against AI agents, and practical defense strategies including least privilege, sandboxing, and monitoring.
Artificial intelligence
Artificial intelligence
AI Shopping Agents: How Autonomous Agents Are Changing E-Commerce
Discover how AI shopping agents are automating product research and purchasing in 2026, and what it means for both consumers and online retailers.
The Agent Economy: How Developers Are Monetizing MCP Servers in 2026
Explore how developers and freelance AI consultants are monetizing MCP servers, agent templates, and consulting services in the emerging agent economy of 2026.
I Built a Personal AI Agent to Automate My Freelance Business — Here’s What I Learned
A personal build log on creating a self-hosted AI agent with n8n, MCP, and a VPS to automate freelance business tasks like job monitoring and invoicing.
Why 2026 Is the Year of Human-in-the-Loop, Not Full Autonomy
Explore why the AI industry is pulling back from fully autonomous agents in 2026 in favor of human-in-the-loop designs, with practical guidance on building trustworthy hybrid systems.
Giving AI Agents Memory: Episodic Recall, Vector Stores, and Long-Term Context
Learn how AI agents achieve persistent memory using episodic recall and vector stores, why memory is a defining trend in 2026, and how to build it responsibly.
MCP vs Agent2Agent (A2A): Understanding the Protocol Landscape in 2026
Understand the difference between Anthropic’s MCP and Google’s Agent2Agent (A2A) protocol, how they complement each other, and what builders need to know for 2026 agentic systems.
Data Science – Hypothesis testing – Interview questions and answers
1. Hypothesis Testing Q1: A company claims that their new energy drink boosts the average energy levels of individuals by 20%. You collect data from 100 individuals who consumed the energy drink and find an average boost of 18% with a standard deviation of 5%. Using the 0.05 significance level, test the company’s claim. A1: … Read more
Data Science – Descriptive & Inferential Statistics: Interview Questions & Answers
Q1. What is the difference between descriptive and inferential statistics? Give an example. Answer: Descriptive statistics is concerned with summarizing and organizing data to describe its main features. For example, if you have the test scores of 100 students, the average score would be a descriptive statistic. Inferential statistics, on the other hand, makes predictions … Read more
Improving detection of Melanoma and Naevus with deep neural networks
Machines can acknowledge the images of skin lesion as well as the disease compared to an experienced dermatologist. These might be executed by giving a proper label for the provided images of skin lesion. Within the proposed study researchers have examined various frameworks for detection of skin cancer as well as classification of melanoma. The … Read more