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Real-World Case Study: Finding Critical Vulnerabilities Missed by Others

Introduction:When a financial tech client came to TrustStack Security, they had already completed a pentest with another vendor. Their platform passed—“No critical vulnerabilities found.” But something didn’t sit right. They wanted a second opinion. Our Approach:We began with reconnaissance and discovered a forgotten admin panel using a predictable URL. This

Programmer creating complex machine learning models
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Securing Machine Learning Models from Adversarial Attacks

Introduction:AI and ML systems are transforming industries—but they’re also creating new security challenges. Adversarial machine learning is no longer theoretical. Attackers are actively exploiting ML models in production. Here’s how to defend your AI investments. What Are Adversarial Attacks?These are intentional manipulations of input data to mislead a machine learning

Web Application Developer Desk
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Top 5 Web Application Vulnerabilities in 2025 (And How to Defend Against Them)

Introduction:Web apps power our digital lives, but they also create massive attack surfaces. At TrustStack Security, we’re constantly testing apps and uncovering vulnerabilities, many of which are repeat offenders. In this blog, we highlight the top 5 web application vulnerabilities of 2025 and show you how to mitigate them. 1.

Developing mobile application
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Manual Penetration Testing Beats Automated Scanning: Here’s Why

Introduction: In the world of cybersecurity, automation is everywhere. From vulnerability scanners to compliance tools, many organizations believe they’re covered once the tools run and reports are generated. But here’s the truth: automated scanning only scratches the surface. True security requires human expertise—manual penetration testing that goes deeper, mimics real-world