Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Imagine a world where, in the middle of programming, your helpful AI assistant tells you to import a package called securehashlib. It sounds real. It looks real. You trust your silicon co-pilot. You run pip install securehashlib. Congratulations. You’ve just opened a backdoor into your software stack—and possibly your company’s infrastructure. The package didn’t exist until yesterday, when an attacker registered it based on a hallucination the AI made last week.

A Software Bill of Materials (SBOM) is like an ingredient list for software. It provides a detailed inventory of all the components that make up an application, including open source libraries, proprietary code, packages, and containers. Just as food packaging lists ingredients to protect consumers and ensure safety, SBOMs do the same for software by giving visibility into what is inside.

Today, we’re thrilled to announce Mend Forge, our new AI native innovation engine and your window into what’s next in application security. At Mend.io, we believe that security innovation shouldn’t happen in a black box. The security landscape is shifting fast, driven by the explosive growth of AI generated code, AI powered applications, and rapidly evolving software supply chains.

As generative AI tools like ChatGPT, Claude, and others become increasingly integrated into enterprise workflows, a new security imperative has emerged: system prompt hardening. A system prompt is a set of instructions given to an AI model that defines its role, behavior, tone, and constraints for a session. It sets the foundation for how the model responds to user input and remains active throughout the conversation.

Application security posture management (ASPM) centralizes and automates the monitoring, evaluation, and management of application security across an organization’s software lifecycle. ASPM provides a unified view of the risk posture by aggregating data from various security tools, such as static application security testing (SAST), dynamic application security testing (DAST), software composition analysis (SCA), and runtime protection solutions.

If you’ve ever been burned by a late-stage security patch—hours before a release, in production, or during a holiday—you know patch management isn’t just an IT checkbox. It’s a make-or-break part of modern software delivery. Yet too often, it’s reactive, fragmented, and bolted on after the fact. This guide breaks down how to make patch management a proactive, automated, and developer-aligned process—without slowing you down.

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%.