Application Security
In-depth guides and analysis on application security from the Safeguard engineering team.
490 articles
Web Application Security Standards overview
A breakdown of OWASP, NIST SSDF, and PCI DSS 4.0 web application security standards, where Veracode's scanning model covers them, and where supply-chain gaps remain.
Top 10 Azure security risks and prevention
Real Azure breaches — BlueBleed, ChaosDB, OMIGOD, Midnight Blizzard — trace back to storage misconfigs, identity sprawl, and exposed secrets, not zero-days.
OWASP Testing Tools and Methodology
OWASP testing tools cover the methodology; Veracode wraps part of it commercially. Neither was built for supply chain risk — here's where the gaps are and how to close them.
GCP IAM security best practices
GCP IAM misconfigurations, not exploits, cause most cloud breaches. Here is how to enforce least privilege, lock down service accounts, and audit access.
How Snyk Code's semantic analysis engine builds a code mo...
A mechanical look at how Snyk Code's semantic analysis engine parses source into a code model, tracks data flow across files, and prioritizes vulnerability findings.
Inside DeepCode AI: how Snyk Code's ML models are trained...
How Snyk's DeepCode AI turns millions of open-source commit fixes into the symbolic-AI and ML models powering Snyk Code's vulnerability detection and autofixes.
How taint analysis works in Snyk Code: tracking data from...
Snyk Code traces untrusted data from source to sink using interprocedural static analysis and ML ranking. Here's how the taint-tracking mechanics work.
How Snyk Code performs interprocedural data-flow analysis...
How Snyk Code tracks tainted data across function and file boundaries using call-graph summaries, taint propagation, and hybrid symbolic AI rules.
How Snyk Code models control flow to catch race condition...
A mechanical look at how Snyk Code builds control flow and data flow graphs to trace paths that produce race conditions and null pointer dereferences.
How Snyk Code distinguishes sanitizers from insecure sour...
How Snyk Code's taint-tracking engine tells sanitizers apart from insecure sources and sinks, and where the source-sink-sanitizer model still needs human review.
Why Snyk Code's semantic approach produces fewer false po...
Snyk Code cuts SAST false positives using semantic analysis: AST/data-flow graphs plus ML trained on real code, not regex patterns. Here is how the mechanics work.
How Snyk Code detects SQL injection vulnerabilities step ...
A mechanical, publicly-documented look at how Snyk Code's symbolic analysis and ML model trace source-to-sink data flow to detect SQL injection vulnerabilities.
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