industry-analysis
Safeguard articles tagged "industry-analysis" — guides, analysis, and best practices for software supply chain and application security.
87 articles
Insecure Randomness in Security-Sensitive Code
A single deleted line broke Debian's OpenSSL keys for two years. We break down real insecure randomness vulnerabilities and how Safeguard catches weak PRNGs before attackers do.
Missing Encryption of Sensitive Data
Missing encryption of sensitive data (CWE-311) drove breaches from Equifax to CVS Health. Here's how it happens across the software supply chain and how to catch it early.
Race Conditions (TOCTOU) in Application Code
From Dirty COW to runc's CVE-2021-30465, TOCTOU race conditions keep slipping past code review. Here's why they're invisible to standard tooling — and how to catch them.
MSSP and partner program models in AppSec
Checkmarx built an MSSP and partner program around code scanning. Here's how that model works, where it misses software supply chain risk, and what to check before signing.
The hidden cost of surface-level code security
Legacy SAST/SCA scanning piles up findings without context, quietly building code security debt whose hidden cost shows up in engineering hours, audits, and breaches.
Application Security Strategy for 2026: AI, DevSecOps, an...
AppSec platform consolidation is reshaping 2026 strategy. See how it compares to Veracode's approach and where Safeguard fits in a unified DevSecOps stack.
How Snyk AI-BOM detects MCP servers connected to an appli...
A technical look at how Snyk's AI-BOM statically detects MCP client-server connections in source code, what CycloneDX data it captures, and where its coverage stops.
How Snyk AI-BOM identifies prompt files and prompt-inject...
How Snyk's AI-BOM tooling discovers prompt files, SKILL.md packages, and MCP tool chains, and the detection engine it uses to flag prompt-injection risk.
How Snyk approaches securing AI-generated code from codin...
A technical look at how Snyk's DeepCode AI engine, Agent Fix, and Snyk Studio MCP server scan and govern code from AI coding assistants like Claude Code and Cursor.
How Snyk's AI-SPM approach extends ASPM concepts to AI sy...
How Snyk's Evo AI-SPM extends ASPM's discover-assess-enforce loop to models, datasets, and agents, based on its March 2026 GA launch and public documentation.
InnerSource Practices for Enterprise Development
InnerSource speeds up enterprise code reuse, but it also turns every internal team into an unaudited package publisher. Here's where governance breaks and how to fix it.
Autocomplete Anxiety: Measuring How Often AI Coding Assis...
Studies show 40-45% of AI-suggested code contains exploitable flaws, and models hallucinate fake packages developers install. Here's what the data says.
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