Category: DZone Security Zone

Top 5 Tips to Shrink and Secure Docker Images

I used to settle for Docker images that were massive, sometimes in GBs. I realized that every megabyte matters, impacting everything from deployment speed and cloud costs to security. With time, I realize there are well-known best practices and advanced…

Implementing Zero Trust on Google Cloud

Cybersecurity now requires more than just perimeter defences. As you adopt microservices, hybrid workloads, and AI pipelines on Google Cloud, identity becomes your new perimeter. Zero Trust means never trust and always verify. It is no longer optional but essential.…

Phishing 3.0: AI and Deepfake-Driven Social Engineering Attacks

Phishing is no longer an easy-to-detect cyberattack. With the rise of artificial intelligence, attackers now launch AI-driven phishing campaigns to mimic human behavior. They can now generate flawless emails and use deepfake phishing attacks. Email security threats are more prominent…

Building an OWASP 2025 Security Scanner in 48 Hours

OWASP dropped its 2025 Top 10 on November 6th with a brand-new category nobody saw coming: “Mishandling of Exceptional Conditions” (A10). I spent a weekend building a scanner to detect these issues and immediately found authentication bypasses in three different…

Shield Your Nonprofit: How to Tackle Ransomware Attacks

Set against the backdrop of accelerated growth of technology over the past several decades, notwithstanding large organizations, nonprofits as well have become overly reliant on technology for their day-to-day operations. New data shows that this reliance often presents opportunities for…

Building a Production-Ready MCP Server in Python

The Model Context Protocol (MCP) is rapidly emerging as a fundamental framework for secure AI integration. It effectively links large language models (LLMs) with essential corporate assets, such as APIs, databases, and services. However, moving from concept to production requires…

Rethinking the Software Supply Chain for Agents

A recent MIT study reported that only about 5% of GenAI applications are creating real, measurable business value. In my opinion, that’s not a failure of ambition. If anything, most teams are experimenting aggressively. The issue is that the underlying…