Symbolic Reasoning vs. LLMs: Which Static Analysis Actually Finds Bugs?
The CASTLE benchmark tested 13 static analyzers and 10 LLMs on 250 programs — neither approach won outright, and the reasons why matter for your AppSec stack.
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 CASTLE benchmark tested 13 static analyzers and 10 LLMs on 250 programs — neither approach won outright, and the reasons why matter for your AppSec stack.
73% of open-source developers now use AI coding tools. Dynamic testing built for nightly crawls can't keep pace with apps that reshape their attack surface daily.
A CVSS 10.0 pre-auth RCE in React Server Components, exploited within 48 hours of disclosure — how the deserialization flaw works and how to mitigate it.
NIST benchmark data puts some SAST false-positive rates near 78%. Reachability analysis and contextual triage are how teams cut that noise without missing real risk.
DOM XSS, token storage, and API exposure don't show up in a server-side scan — here's a repeatable methodology for testing React, Vue, and Angular apps.
GitClear's 211M-line study found copy-pasted code rose from 8.3% to 12.3% of changes from 2020 to 2024 — even as AI reviewers flag more comments, the defects that matter most still slip through.
GitHub says Copilot Autofix resolves two-thirds of flagged vulnerabilities with little editing; Snyk claims 80% fix accuracy. Here's the pipeline behind both numbers.
Gartner coined the ASPM term in May 2023 and projects over 40% of organizations building software will adopt it by 2026 — here is what it actually does.
OWASP SAMM v2 scores 15 practices on a 0–3 scale; BSIMM15 measured 121 firms and found SCA adoption up 67%. Here's a five-stage model to self-assess against.
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