Best Application Security Software for GitHub Copilot
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Compare the Top Application Security Software that integrates with GitHub Copilot as of October 2026
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This a list of Application Security software that integrates with GitHub Copilot. Use the filters on the left to add additional filters for products that have integrations with GitHub Copilot. View the products that work with GitHub Copilot in the table below.
What is Application Security Software for GitHub Copilot?
Application security software is designed to protect applications from cyber threats by identifying vulnerabilities, preventing attacks, and ensuring data integrity throughout the application’s lifecycle. This software typically includes features like static and dynamic analysis, runtime protection, and vulnerability scanning to detect and address potential security issues such as SQL injection, cross-site scripting (XSS), and unauthorized access. It helps organizations maintain secure applications by implementing best practices for secure coding, performing penetration testing, and monitoring for security breaches. Application security software is crucial for organizations to safeguard sensitive data, comply with regulations, and minimize the risk of exploitation. Compare and read user reviews of the best Application Security software for GitHub Copilot currently available using the table below. This list is updated regularly.
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Backslash Security
Backslash
The software development lifecycle has fundamentally changed. Developers across engineering organizations are using AI coding tools — GitHub Copilot, Cursor, Windsurf, Claude Code, Gemini CLI — at scale. The security controls built for traditional development were not designed for this environment. Backslash Security addresses this gap directly. The platform gives security teams visibility into AI coding tool usage, the code being generated, MCP server connections made by AI agents, and the risk introduced before it reaches production. Core capabilities: AI coding tool inventory and policy enforcement MCP server visibility and access control Vibe coding security — risk detection in AI-generated code Continuous monitoring without disrupting engineering workflows Purpose-built for AI-native development — not a legacy scanner repositioned for a new market. For security leaders governing an environment they didn't design, Backslash provides the visibility and control you need. -
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GitHub Advanced Security
GitHub
With AI-powered remediation, static analysis, secret scanning, and software composition analysis, GitHub Advanced Security helps developers and security teams work together to eliminate security debt and keep new vulnerabilities out of code. Code scanning with Copilot Autofix detects vulnerabilities, provides contextual explanations, and suggests fixes in the pull request and for historical alerts. Solve your backlog of application security debt. Security campaigns target and generate autofixes for up to 1,000 alerts at a time, rapidly reducing the risk of application vulnerabilities and zero-day attacks. Secret scanning with push protection guards over 200 token types and patterns from more than 150 service providers, even elusive secrets like passwords and PII. Powered by security experts and a global community of more than 100 million developers, GitHub Advanced Security provides the insights and automation you need to ship more secure software on schedule.Starting Price: $49 per month per user -
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Cortex Agentic Endpoint Security
Palo Alto Networks
Palo Alto Networks Cortex Agentic Endpoint Security (AES) is an AI-native endpoint security platform designed to protect enterprise devices from risks associated with autonomous AI agents and modern software applications. The platform continuously discovers AI agents, local models, browser extensions, IDE plugins, Model Context Protocol (MCP) servers, and other software components operating on endpoints. Its context-aware risk analysis evaluates software dependencies, permissions, behaviors, and potential security exposures to help organizations prioritize threats. Cortex AES provides automated governance policies and security guardrails that control agent interactions and restrict potentially unsafe software. Its real-time prevention capabilities block malicious agent actions, prompt injection attacks, unauthorized data access, and risky software execution before they cause damage.
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