Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

mend

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

Jul 9, 2026 By Tiffany Jennings In Mend
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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The ECB just gave banks four months to fix AI vulnerability gaps. Most of the work starts in the software supply chain.

Jul 8, 2026 By Tiffany Jennings In Mend
On July 7, 2026, the European Central Bank sent a letter to the CEO of every bank it directly supervises with an unambiguous instruction: build a formal action plan against AI-enabled cyberattacks, and submit it to your supervisory team by October 31.
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Why Project Glasswing Changes the Rules of AppSec

Jul 8, 2026 By Mend In 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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Best AI Governance Platforms for Enterprises: Top 6 in 2026

Jul 7, 2026 By Tiffany Jennings In Mend
AI governance platforms provide enterprises with centralized oversight to manage AI risks, ensure regulatory compliance, and automate policy enforcement across the AI lifecycle. Leading solutions include security-oriented tools like Mend.io, HiddenLayer, and Prompt Security, as well as end-to-end governance platforms like IBM watsonx.governance and Microsoft Purview.
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9-Step AI Governance Implementation Strategy and the Solutions to Know

Jul 2, 2026 By Tiffany Jennings In Mend
TL;DR: AI governance solutions help organizations inventory, secure, and monitor AI systems. Best for AI security and shadow AI: Mend AI; enterprise risk and compliance: Credo AI and IBM watsonx.governance; model monitoring: Fiddler AI. Effective AI governance implementation involves establishing a cross-functional committee, compiling an AI bill of materials (AI-BOM) to identify risks, and implementing policies based on frameworks like NIST AI RMF.
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Evaluating AI Security Posture Management Tools: 7 Key Criteria

Jul 1, 2026 By Tiffany Jennings In Mend
Evaluating AI Security Posture Management (AI-SPM) tools is a critical process for organizations integrating AI, specifically Generative AI (GenAI) and Large Language Models (LLMs), into their workflows. Unlike traditional security tools, AI-SPM focuses on the unique risks of AI, including Shadow AI, prompt injection, data poisoning, model theft, and improper model configuration. When assessing AI-SPM tools, security leaders should prioritize the following capabilities.
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Attestation in Cybersecurity: Types, Uses & Best Practices

Jun 25, 2026 By Tiffany Jennings In Mend
Attestation is a security process that enables one system or entity to prove its state or characteristics to another. This typically involves generating verifiable evidence about the software, hardware, or configuration of a device or environment. The primary goal is to ensure that systems are operating as expected and have not been tampered with. Attestation is important for building trust in distributed environments, where direct oversight and control are not always possible.
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AI changed what you ship. It also changed what you have to secure.

Jun 22, 2026 By Asaf Saar In Mend
Two years ago, your teams shipped software. Today they ship two different things. They ship software that AI mostly wrote. And they ship AI systems they built themselves: models, agents, features that reason and act. Most security programs are still scoped for the first and blind to the second. That gap is not a tooling problem. It is a category problem. And the way the industry is drawing the categories is making it worse.
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Frontier Model Is the Wrong Meter for Continuous Security

Jun 18, 2026 By Asaf Saar In Mend
The economics of continuous security at frontier-model prices, and why the math points back to independence. The frontier models are astonishing at finding vulnerabilities. That is not in dispute, and it is not what this piece is about. The question is not whether a frontier model can find a flaw in your code. It is whether you can afford to run one as your scanner, continuously, across your entire estate, the way real security actually works.
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