Incident Analysis
MSI Graphics Driver Supply Chain Breach 2023: Lessons
The MSI breach exposed Intel BootGuard private keys and OEM signing infrastructure. A look at firmware-level supply chain risk and the gaps that remain.
Mar 24, 20265 min read
Resources
Supply Chain Security, in plain English.
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.
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Checkmarx CxSAST: What It Actually Does
Checkmarx CxSAST is one of the longest-running static analysis engines in the enterprise appsec market. Here's what it actually scans, how it's typically deployed, and where teams run into friction.
Mar 24, 20265 min read
DevSecOps
Zero Trust for CI/CD Pipelines: A Concrete Blueprint
CI/CD runners are a top attacker target. Here's a concrete zero-trust blueprint using OIDC federation, pinned action SHAs, and short-lived identities.
Mar 24, 20268 min read
Vulnerability Analysis
What is Prototype Pollution
Prototype pollution lets attackers corrupt Object.prototype via unsafe merges, turning a data bug in lodash, jQuery, or minimist into RCE.
Mar 24, 20266 min read
Best Practices
How to Secure AI Agents on the MCP Protocol
MCP gives AI agents real tools, real credentials, and real blast radius. Here is a hardening guide for running MCP servers in production without torching your environment.
Mar 24, 20267 min read
AI Security
Guardrails for Autonomous Code-Fixing Agents
AI agents can now open pull requests that patch vulnerabilities on their own. Without guardrails — scoped permissions, test gates, human merge approval — they can also break builds and introduce new flaws at machine speed.
Mar 24, 20266 min read
Enterprise
Enterprise Security Solutions: The 2026 Consolidation Guide
The average enterprise runs dozens of security tools that barely talk to each other. This guide maps the categories, explains why consolidation is accelerating, and shows how to evaluate a platform.
Mar 24, 20267 min read
AI Security
AI Accelerators: A Security Guide to the Hardware Running Your Models
AI accelerators are the specialized chips that make model training and inference fast, and they bring their own attack surface: memory leakage, driver stacks, and firmware you did not write. Here is what to secure.
Mar 24, 20266 min read
AI Security
The OWASP AI Top 10 Explained: LLM Risks for 2025 and Beyond
The OWASP AI Top 10 is the community list of the most critical security risks in LLM applications, led by prompt injection. Here is what each entry means and how to defend against it.
Mar 24, 20266 min read
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