Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Why Traditional SAST Fails on AI-Generated Code

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.

AppSec: When Bandwidth Isn't the Bottleneck

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.

EU CRA explained: requirements, timeline, and compliance

The EU Cyber Resilience Act (CRA) is a sweeping regulation that mandates security by design and uniform cybersecurity standards for all hardware and software products with digital elements sold in the European Union. The CRA officially entered into force in December 2024, with compliance enforcement phased in over the coming years.

Move faster than AI-driven risk: Inside Mend.io's latest AI application security update

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.

199 RubyGems, two techniques, zero working payloads: Inside a cryptomining campaign that never ran

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.

Best 6 AI security posture management platforms (AI-SPM) in 2026

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.

Independence is the moat

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?

Dependency management tools: Key features and 6 tools to know in 2026

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.