Expert perspectives on application security, compliance, and emerging threats
GeneralScope This guide addresses the workflow friction between automated Dynamic Application Security Testing (DAST) tools and manual penetration testing. If you re running DAST scans but your pentesters st
ResearchYour compliance team hands you a spreadsheet with 247 controls from three different frameworks. Your job: map them to your CI/CD pipeline, container runtime, and secrets management system. The spreads
IncidentOn the morning after JFrog disclosed CVE-2026-82329, attackers were already scanning for vulnerable Artifactory instances. This authentication bypass flaw lets anyone gain admin-level access to your r
GeneralScope: What This Guide Covers This guide helps you allocate tasks between AI coding agents and human developers. If you re integrating AI coding tools into your development workflow, you need a system
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GeneralYou ve probably heard the pitch: replace your error-prone human developers with AI agents, and watch your delivery problems disappear. No more miscommunication, no more merge conflicts, no more late-n
ResearchThe Challenge If your team uses AI coding agents, you might be overlooking a hidden cost: the data formats your tools output. When you send Sonar CLI results to an LLM for code analysis, you re paying
GeneralChainguard just released OS Packages, and the timing matters. While your team patches CVE manually, AI-generated code is shipping faster than your security reviews can keep up. The gap between develop
GeneralYour coding agents are writing thousands of lines per week. You re tracking the output in Git. But what about the prompts, skills, and instructions that shape what those agents produce? Most teams tre
GeneralYour AI coding assistant just suggested a package. It autocompleted the import, generated the integration code, and saved your team 45 minutes. It also pulled in a library that hasn t been updated in
GuidesYou ve probably heard the pitch: Use this managed service and everything gets easier. Then you find out the abstraction layer hides critical configuration options, disrupts your existing workflows, or
GeneralScope This guide addresses the verification gap created when AI-generated code outpaces your team s ability to test it. If you re seeing commit volumes spike, PRs multiply, or your CI queue backing up
GuidesIf you re still emailing spreadsheets of dependencies to auditors or running manual SBOM scans before each release, you re wasting valuable engineering time that could be used for shipping features. T
IncidentThe Problem In 2025, nearly one-third of known exploited vulnerabilities were exploited on or before the day they were publicly disclosed. This isn t an isolated incident, it s a widespread issue affe
GeneralThe Conventional Wisdom Ask most DevOps leaders how they validate code changes, and you ll hear: We run it through CI. The pipeline runs tests, scans for vulnerabilities, checks code quality, and eith
ResearchYour team is evaluating AI coding agents. The vendor shows you impressive benchmark scores on SWE-Bench. You re ready to sign. But those benchmarks don t test what you actually need: the ability to re
IncidentOn a Tuesday morning, an unauthenticated attacker could walk into any public GitLab project and delete it. No credentials. No social engineering. Just a critical code injection vulnerability and an HT
