Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

MCP adoption is surging across industries, fundamentally reshaping how systems connect to AI models. By establishing a universal protocol for data exchange, MCP simplifies integration complexity, empowering developers to build sophisticated AI capabilities in a fraction of the traditional development time. However, this streamlined connectivity to AI tools introduces significant security risks.

AI red teaming is the process of simulating adversarial behavior to test the safety, security, and robustness of artificial intelligence systems. It draws inspiration from traditional cybersecurity red teaming (where ethical hackers emulate real attackers to expose flaws) but applies that mindset to machine learning models, data pipelines, and the broader AI stack.

SAST tools automatically scan the source code of an application. The goal is to identify vulnerabilities before deployment. SAST tools perform white-box testing, which involves analyzing the code based on inside knowledge of the application. SAST offers granularity in detecting vulnerabilities, providing an assessment down to the line of code.

The OWASP Top 10 is a security research project that outlines the ten most critical security risks to web applications. Published by the Open Worldwide Application Security Project (OWASP), it serves as a widely recognized benchmark for web application security. The list is compiled from data gathered by security experts and organizations worldwide, based on the prevalence, detectability, and impact of various vulnerabilities.

Application security testing (AST) is the process of identifying and fixing security vulnerabilities in software applications. It ensures that applications are protected against threats such as unauthorized access, data breaches, and code manipulation. The application layer continues to be the most attacked and hardest to defend in the enterprise software stack.

The Open Web Application Security Project (OWASP), is an online community that produces free, publicly available articles, methodologies, documentation, tools, and technologies in the field of web application security. Open source components have become an integral part of software development. According to Mend’s Risk Report, 96.8% of developers rely on open source components.

Static application security testing (SAST) has matured from a gate-at-the-end to a developer-first discipline. Forrester’s Static Application Security Testing (SAST) 2025 landscape report highlights why: attack volume is rising, code is released at least monthly in one in four teams, and AI generated code is flooding pipelines with even more code to secure. The tools that succeed are those that shorten mean time to remediate (MTTR) while fitting the way modern teams build.

DAST is a security tool that attempts to penetrate an application from the outside by checking its exposed interfaces for vulnerabilities and flaws. Sometimes called a web application vulnerability scanner, it is a type of black-box security test. It looks for security vulnerabilities by simulating external attacks on an application while the application is running.

We’re excited to announce a powerful new integration between Mend.io and Microsoft Defender for Cloud (MDC)—a step forward in our mission to bring intelligent, actionable, and context-rich open source security directly into the cloud security workflow. As organizations embrace cloud-native architectures, security teams face the growing challenge of identifying and prioritizing the open source software risks that truly matter.

The increasing reliance on open-source software coupled with the accelerated pace of software development has created a growing need for support of deprecated packages. The significant majority of open-source software packages are not actively maintained, meaning vulnerabilities are not patched, thereby leaving systems open to attack. Malicious actors often target deprecated open-source packages for this very reason.