From the course: GitHub Copilot for Cybersecurity Specialists by Microsoft Press

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Automate dependency vulnerability assessments and patching workflows

Automate dependency vulnerability assessments and patching workflows - Github Copilot Tutorial

From the course: GitHub Copilot for Cybersecurity Specialists by Microsoft Press

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Automate dependency vulnerability assessments and patching workflows

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Dependabot alert fatigue is real. You wake up at Monday to 47 new vulnerability alerts. Which ones actually matter? Which are exploitable in your architecture? Copilot's reasoning capabilities transform alert triage from manual slog to intelligent filtering. Dependabot flags every published CVE affecting your dependency tree. aren't exploitable in your specific context. A Lodash prototype pollution CVE doesn't matter if you only use Lodash for server-side data transformation with trusted inputs. Manually triaging hundreds of alerts doesn't scale. You need intelligent filtering. Feed Copilot three inputs. CVE details, your codebase's usage of the vulnerable dependency, your architecture context. For instance, we use package X for Y functionality. CVE such and so affects feature Z. Is this vulnerability exploitable given our usage pattern? Copilot analyzes the attack vector against your implementation and provides exploitability assessment. Updating dependencies isn't just running NPM…

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