Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Software Composition Analysis (SCA) is a process that identifies and manages open-source components within a software project, including their licenses, vulnerabilities, and dependencies. It helps organizations understand what open-source software is being used, mitigate security risks, and ensure license compliance. SCA tools scan application code to detect all third-party components and their dependencies.

If your Maven project feels like a ticking time bomb of outdated dependencies, you’re not alone. Developers often put off updates—until a critical CVE or compatibility issue makes them wish they hadn’t. Keeping your dependencies current doesn’t just reduce risk—it improves performance, adds features, and aligns with best practices in secure software development.

AI red teaming services involve security assessments focused on artificial intelligence systems. Unlike traditional red teaming, which targets general IT infrastructure, AI red teaming targets the unique attack surfaces and risks associated with AI, large language models (LLMs), and machine learning deployments. These services simulate adversarial attacks, probing for vulnerabilities like prompt injection, data leakage, bias, and malicious manipulation.

Quick Answer: The top SCA tools in 2025 are Mend.io (best for automated remediation and proactive SCA), Sonatype Lifecycle (known for enterprise policy management), Snyk (known for developer experience), and Checkmarx SCA (known for comprehensive coverage). According to industry reports, organizations using SCA tools can reduce vulnerability remediation time by up to 80%.

What Are Application Security Testing Tools? Application security testing (AST) tools identify vulnerabilities and weaknesses in software applications. These tools assess code, application behavior, or its environment to detect potential security risks. They help developers and security teams prevent cyberattacks by addressing security issues during the development and deployment phases.

Best SAST Solutions: How to Choose Between the Top 11 Tools in 2025 Static Application Security Testing (SAST) is a proactive approach to identifying security vulnerabilities in source code during development. This article delves into the core features of SAST tools, reviews leading solutions, and provides guidance on selecting the right tool to enhance your software’s security posture.

AI is reshaping software development quickly. From boilerplate generation to test automation and refactoring, LLMs like the one behind Cursor are transforming how developers build. But with great power comes a new generation of vulnerabilities. At Mend.io, we’re excited to announce a native integration with Cursor, the IDE taking the dev world by storm.

AI security is where traditional cybersecurity meets the chaotic brilliance of machine learning. It’s the discipline focused on protecting AI systems—not just the code, but the training data, model logic, and output—from manipulation, theft, and misuse. Because these systems learn from data, not just logic, they open up fresh attack surfaces like data poisoning, model inversion, and prompt injection.

Shadow AI refers to the unauthorized or unmanaged use of AI tools, models, frameworks, APIs or platforms within an organization, operating outside established governance frameworks. While employees may adopt these AI tools with good intentions, seeking to enhance productivity or solve problems more efficiently, the lack of oversight creates significant security, compliance, and operational risks.

Kubernetes security refers to practices, tools, and configurations that protect Kubernetes clusters and workloads from unauthorized access, vulnerabilities, and runtime threats. It involves securing all components of the Kubernetes environment—including the control plane, worker nodes, pods, container images, networking, and storage.