MCP Architecture Explained: A Security Guide
The Model Context Protocol connects AI models to tools and data through a client-server design. Understanding that architecture is the first step to securing it.
Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
The Model Context Protocol connects AI models to tools and data through a client-server design. Understanding that architecture is the first step to securing it.
Container security on AWS spans the image, the registry, the runtime, and IAM. Get those four layers right and you close the gaps that cause almost every incident.
To define agentic: it describes AI systems that plan and take actions toward a goal with limited human oversight. Here is what that autonomy means for security teams.
An AI security app uses machine learning to detect, prioritize, or remediate security issues. Here is what the category actually delivers and how to judge one.
An AI cybersecurity company uses machine learning to detect, prioritize, and remediate threats faster than rules alone. Here is how to evaluate one honestly.
A container image audit inspects every layer of an image - base OS packages, application dependencies, secrets, and configuration - to find what an attacker could exploit before you deploy.
Real CVEs, a supply-chain hack that hit 360,000 sites, and bundled-library blind spots: what WordPress plugin security actually requires in 2026.
A framework for comparing software supply chain security solutions across the four capabilities that matter, SBOM generation, dependency scanning, provenance verification, and CI/CD gating.
MCP-led agent workflows hand real tools to a language model. That power is also the attack surface. Here is how tool poisoning works and how to defend against it.
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