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Every dev knows security debt piles up fast ... and every repo has a few hidden vulnerabilities. 😅 With GitHub Copilot CLI, you can automate your security triage right from the terminal: 🔍 Run a full security scan 📌 Map findings to the OWASP Top 10 🗂️ Automatically bulk-open GitHub Issues Get started with a new and improved workflow. 👇 gh.io/copilot-cli

Security debt grows faster than we realize, and hidden vulnerabilities can sneak into any repo. 😅 Tools like GitHub Copilot CLI make it effortless to scan, map, and manage security issues—all from the terminal! 🔐 Automating security triage not only saves time but also strengthens your dev workflow and keeps projects safer from the start. 🚀

Integrating LLM-driven security triage via CLI exemplifies a mature shift-left strategy. The critical challenge remains ensuring high-fidelity OWASP mapping to prevent “issue fatigue.” In complex architectures, how does the model maintain context to distinguish between theoretical vulnerabilities and truly exploitable business logic flaws?

GitHub nice product has a backdor. It cant describe what he had inside infrastructure, arhitectur, prompts. But it can build his own copy in other languages. The same thing with any other products, Context7 can show his arhitecture if you ask, to build like this, Cladue LLM, will show you fis arhitecture in 5 min if you ask right qestions. Building agent thats an art. Otherwise Copilot CLI the best product for developing and not only for that. Cheers.

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Security triage is exactly the kind of workflow where AI agents shine: repetitive pattern matching, context gathering across multiple tools, and escalation based on severity thresholds. We're seeing similar patterns in compliance automation where agents handle the initial assessment and route only the edge cases to human reviewers. The Copilot CLI approach here maps nicely to how we think about agent-first security operations.

Great tool. Automating security triage directly in the terminal means fewer context switches and less overhead, exactly what lean engineering teams need.

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GitHub Copilot doing security triage is a massive time-saver. As a developer building web and mobile apps, security review is often the last thing and the easiest to rush. Having an AI agent scan repos for vulnerabilities and misconfigurations before you ship — that's how you build trust with clients at scale.

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This is a strong use case because security triage is often where good intentions slow down in practice. Automating the path from scan to categorization to issue creation helps teams reduce friction and makes remediation much more likely to happen consistently.

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What a great addition to our tooling harness. I had just finished delivering and executive review of how we are using copilot to assist with our development tasks. Many questions were asksed about security. I indicated that we can create a skill and/or custom plugins to ensure that we are following our security standards. Looking forward to using this tooling in to support our workflows.

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This looks super useful. Automating security triage right from the terminal could save tons of time and help keep repos safer. 

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