sast
Safeguard articles tagged "sast" — guides, analysis, and best practices for software supply chain and application security.
377 articles
Code Scan Tools: How They Work and What to Use
A practical breakdown of code scan tool categories — SAST, SCA, secrets, and DAST — how each works, and how to choose and combine them without alert fatigue.
Vulnerability Scanner Tools: how they work
A breakdown of how SAST, DAST, SCA, and container vulnerability scanner tools actually work, where Veracode fits, and why false positives remain the industry's biggest problem.
Source Code Analysis Tools: SAST, Linters, and Semantic Engines
Not all source code analysis tools do the same job. Linters, pattern-based SAST, and semantic dataflow engines catch different bug classes, and mixing them up wastes budget.
Security Testing Tools for Mobile Applications: What Actually Finds Bugs
A practitioner's guide to the security testing tools for mobile applications that matter — SAST, DAST, dependency scanning, and runtime instrumentation — and how to combine them without drowning in noise.
Checkmarx Pricing: What It Costs and How the Model Works
Checkmarx pricing is quote-based and not published publicly, driven by developer count, modules, and contract term. Here is what buyers actually report paying.
SCA vs Static Code Analysis: The Real Difference
Software composition analysis and static code analysis get lumped together constantly, but they read entirely different things and catch entirely different bugs.
Snyk in Cybersecurity: Where It Fits in a Modern AppSec Program
How Snyk fits into a cybersecurity program: what its developer-first SCA, SAST, container, and IaC tools cover, and what they leave for other controls.
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.
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