vulnerability scanning

I don’t have the article content yet. Please share the text or a link so I can craft an accurate 250–500 character synopsis. Provisional, title-based synopsis: Surveys how AI assists container security reviews across the lifecycle: triaging CVEs in images and SBOMs, detecting anomalous runtime behavior, validating policies-as-code, and enforcing CI/CD gates, with tooling comparisons, risks, and best practices.

Protect Bash-driven infrastructure with AI Bash Security Checks: combine ShellCheck for fast static analysis, an optional AI reviewer (via API) for higher-level risks, and Git pre-commit gating, plus drop-in hardening patterns (set -Eeuo pipefail, safe PATH/IFS/umask). The guide covers installs, scripts, and examples, and even AI log summaries to catch vulns early and make 'no unquoted vars, no eval' a team norm.

Guide for full stack developers and sysadmins on integrating AI/ML-powered vulnerability scanning into Bash on Linux: explains benefits over signature tools (zero-day detection, dynamic risk), prerequisites (Bash, Python), choosing and configuring CLI tools, sample Bash script, automation with cron, enhanced logging/alerts (ELK/Splunk), and best practices for updates, testing, and compliance.