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By Asaf Saar
The OWASP GenAI Security Project published the 2026 edition of its Top 10 for LLM Applications. Prompt Injection stayed at number one. Sensitive Information Disclosure stayed at number two. Read the headlines and you would conclude that not much moved. Something did move, and it is not in the rankings. The project leads open by telling you to stop trying to build a model that cannot be fooled, and to build the system around it so that when the model is fooled, nothing important breaks.
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By Stephanie Broyles
Another Black Hat USA is in the books, and what a week it was. From a main stage keynote at the AI Summit to candid podcast conversations, a video interview with Cyber Defense Magazine, and a booth game that just wouldn’t quit, Mend.io showed up in Las Vegas ready to talk about the question every security leader is wrestling with right now: as AI reshapes both the software we ship and the systems we have to defend, who do we trust to verify that it’s safe?
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By Shannon Davis
The 30-day patch cycle is dead. Most security teams already know this. What they haven’t fully reckoned with is why it died, and what has to replace it. SC Media recently gathered a range of security leaders on exactly this shift, and the picture they described is stark. AI didn’t just add more vulnerabilities to the pile. It collapsed the time between disclosure and exploitation from weeks to hours.
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By Alina Podoba
On August 4, 2026, a malicious version of keyv was published to npm as keyv@6.0.0, one of a number of npm packages affected across the Keyv and Cacheable ecosystem. The release follows the Mini Shai-Hulud pattern: a trojanized version of a heavily depended-on package, with an install-time hook that reaches cloud and CI credentials. It leaves the compiled library untouched and instead adds a preinstall hook and two files.
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By Asaf Saar
AI didn’t just change how fast you ship. It changed what your AI application security program has to protect. Two years ago, security teams protected code, open source, and containers. Today they also have to protect AI agents, MCP servers, models, prompts, and runtime interactions, configured or deployed faster than any team can manually review. The attack surface didn’t grow. It exploded.
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By Tiffany Jennings
TL;DR: AI security testing solutions find vulnerabilities in code, dependencies, and AI components across the dev pipeline.
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By Maciej Mensfeld
Mend.io’s research team caught this campaign before most of the open source community ever saw it. Continuous monitoring of RubyGems flagged a batch of gems that looked, at a glance, like an ordinary cryptomining squat, and Mend.io reported the full batch to RubyGems for takedown. Every gem was pulled within hours. Mend.io’s team also pulled two of the samples apart in full, because knowing a campaign exists isn’t the same as knowing how it works.
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By Tiffany Jennings
AI Security Posture Management (AI-SPM) platforms are specialized tools that discover, monitor, and secure AI models, pipelines, and data, mitigating risks like data leakage and model poisoning. They offer continuous visibility, manage misconfigurations, and enforce security policies across cloud services like Azure OpenAI and Bedrock.
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By Asaf Saar
Why the independent layer keeps winning as the models get better, not despite them. This series has been building to one question, and it is the objection every honest reader has been holding since the first piece. If the frontier models keep getting better this fast, why does an independent security layer keep winning? Why not wait for the model that writes safe code and verifies its own work?
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By Tiffany Jennings
Dependency management tools are software solutions designed to automate and streamline the process of handling external libraries, modules, or packages that a project relies on. These tools help developers specify, install, update, and track dependencies, ensuring that all required components are present and compatible.
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By Mend
AI didn't just speed up software development, it changed what application security programs must defend. As AI coding assistants generate code at machine speed and developers integrate AI agents, models, and RAG pipelines into production, traditional scanners generate endless backlogs of unprioritized alerts.
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By Mend
AppSec teams are frequently told that a lack of bandwidth is why vulnerability backlogs keep growing. In reality, the bottleneck is not team size, it is the lack of contextual prioritization and agentic triage. When traditional scanners hand security teams thousands of findings without reachability context, developer velocity stalls. In this webinar, Mend.io security experts unpack why bandwidth is not the real bottleneck in modern software security and show you how to streamline triage, automate remediation, and secure code at AI speed.
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By Mend
AI didn't just speed up software development, it fundamentally changed the application attack surface. Traditional security scanners produce endless backlogs of unprioritized findings, leaving security teams struggling to identify what actually matters before code hits production.
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By Mend
The old application security playbook is broken. With Anthropic’s Claude Mythos and the release of Project Glasswing, AI agents can now autonomously chain low-severity bugs into working zero-day exploits, collapsing the time between vulnerability discovery and active exploitation. In this video, Mend.io's Saoirse Hinksmon (Head of Product Marketing) and Daniel Wyrzykowski (Product Manager) break down the structural shifts in the threat landscape and what security teams must do to keep pace.
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By Mend
Mend.io, formerly known as Whitesource, has over a decade of experience helping global organizations build world-class AppSec programs that reduce risk and accelerate development -– using tools built into the technologies that software and security teams already love. Our automated technology protects organizations from supply chain and malicious package attacks, vulnerabilities in open source and custom code, and open-source license risks.
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By Mend
Mend.io, formerly known as Whitesource, has over a decade of experience helping global organizations build world-class AppSec programs that reduce risk and accelerate development -– using tools built into the technologies that software and security teams already love. Our automated technology protects organizations from supply chain and malicious package attacks, vulnerabilities in open source and custom code, and open-source license risks.
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By Mend
Mend.io, formerly known as Whitesource, has over a decade of experience helping global organizations build world-class AppSec programs that reduce risk and accelerate development -– using tools built into the technologies that software and security teams already love. Our automated technology protects organizations from supply chain and malicious package attacks, vulnerabilities in open source and custom code, and open-source license risks.
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By Mend
Mend.io, formerly known as Whitesource, has over a decade of experience helping global organizations build world-class AppSec programs that reduce risk and accelerate development -– using tools built into the technologies that software and security teams already love. Our automated technology protects organizations from supply chain and malicious package attacks, vulnerabilities in open source and custom code, and open-source license risks.
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By Mend
Mend.io, formerly known as Whitesource, has over a decade of experience helping global organizations build world-class AppSec programs that reduce risk and accelerate development -– using tools built into the technologies that software and security teams already love. Our automated technology protects organizations from supply chain and malicious package attacks, vulnerabilities in open source and custom code, and open-source license risks.
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By Mend
Mend.io, formerly known as Whitesource, has over a decade of experience helping global organizations build world-class AppSec programs that reduce risk and accelerate development -– using tools built into the technologies that software and security teams already love. Our automated technology protects organizations from supply chain and malicious package attacks, vulnerabilities in open source and custom code, and open-source license risks.
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By Mend
Behind every developer is a beloved programming language. In heated debates over which language is the best, the security card will come into play in support of one language or discredit another. We decided to address this debate and put it to the test by researching WhiteSource's comprehensive database. We focused on open source security vulnerabilities in C, Java, JavaScript, Python, Ruby, PHP, and C++, to find out which programming languages are most secure, which vulnerability types (CWEs) are most common in each language, and why.
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By Mend
We surveyed over 650 developers, and collected data from the NVD, security advisories, peer-reviewed vulnerability databases, issue trackers and more, to gather the latest industry insights in open source vulnerability management.
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By Mend
Developers across the industry are stepping up to take more responsibility for their code's vulnerability management. In this report we discuss trends in how security is shifting left to the earliest stages of development, putting the power developers in the front seat. We explore the growth of automated tools aimed at helping developers do more with fewer resources and look for answers on what is needed to help close the gap from detection to remediation.
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By Mend
Software development teams are constantly bombarded with an increasingly high number of security alerts. Unfortunately, there is currently no agreed-upon strategy or a straightforward process for vulnerabilities' prioritization. This results in a lot of valuable development time wated on assessing vulnerabilities, while the critical security issues remain unattended.
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No component overlooked. Mend identifies every open source component in your software, including dependencies. It then secures you from vulnerabilities and enforces license policies throughout the software development lifecycle. The result? Faster, smoother development without compromising on security.
Not all vulnerabilities are created equal. Mend prioritizes vulnerabilities based on whether your code utilizes them or not, so you know exactly what needs your attention the most. This reduces security alerts by up to 85%, allowing you to remediate more critical issues faster.
Complete Platform:
- Mend Core: We help you keep things in order. Mend is built to streamline your open source governance. With a full layer of alerting, reporting and policy management, you are effortlessly secure and always in control.
- Mend for Developers: Mend for Developers is uniquely designed to simplify developers’ work, while keeping the code secure. Its suite of tools helps speed up integration, find problematic components, and remediate them quickly and easily.
- Mend for Containers: Mend integrates into all stages of the container development lifecycle, including container registries and Kubernetes with automated policy enforcement for maximum visibility and control.
The simplest way to secure and manage open source components in your software.