Best IT Security Software for GitHub Copilot

Compare the Top IT Security Software that integrates with GitHub Copilot as of June 2026

This a list of IT 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 IT Security Software for GitHub Copilot?

IT security software is designed to protect information technology (IT) systems, networks, and data from cyber threats, such as malware, hacking, and unauthorized access. These tools provide various features such as antivirus protection, firewalls, encryption, intrusion detection and prevention systems, and vulnerability management to ensure the integrity, confidentiality, and availability of sensitive information. IT security software helps organizations detect, prevent, and respond to security incidents, mitigate risks, and ensure compliance with industry regulations. It is critical for businesses and individuals to safeguard against cyberattacks, data breaches, and other security vulnerabilities. Compare and read user reviews of the best IT Security software for GitHub Copilot currently available using the table below. This list is updated regularly.

  • 1
    Backslash Security
    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.
  • 2
    GitHub Advanced Security
    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
  • 3
    Plexicus

    Plexicus

    Plexicus

    Plexicus is the AI-native Application Security Posture Management (ASPM) platform with built-in Vibe Coding Security — purpose-built for the era of AI-assisted development. As developers ship more code, faster, with AI assistants like Cursor, Claude Code, Copilot, Windsurf, Devin, Replit, Zed, and VS Code, the volume of vulnerable code is outpacing every traditional AppSec tool. Plexicus closes that gap by replacing alert-only scanners with an autonomous remediation loop that detects, prioritizes, and fixes risks directly in the developer's Git workflow. Unlike fragmented point solutions that drown DevSecOps teams in findings, Plexicus unifies the full application risk surface — SAST, SCA, secrets, IaC, container, and AI-specific threats — and resolves them with proprietary GenAI agents that open the pull request to fix the code.
    Starting Price: $50/developer/month
  • 4
    Dash0

    Dash0

    Dash0

    Dash0 is an OpenTelemetry-native observability platform that unifies metrics, logs, traces, and resources into one intuitive interface, enabling fast and context-rich monitoring without vendor lock-in. It centralizes Prometheus and OpenTelemetry metrics, supports powerful filtering of high-cardinality attributes, and provides heatmap drilldowns and detailed trace views to pinpoint errors and bottlenecks in real time. Users benefit from fully customizable dashboards built on Perses, with support for code-based configuration and Grafana import, plus seamless integration with predefined alerts, checks, and PromQL queries. Dash0's AI-enhanced tools, such as Log AI for automated severity inference and pattern extraction, enrich telemetry data without requiring users to even notice that AI is working behind the scenes. These AI capabilities power features like log classification, grouping, inferred severity tagging, and streamlined triage workflows through the SIFT framework.
    Starting Price: $0.20 per month
  • 5
    Prompt Security

    Prompt Security

    SentinelOne

    Prompt Security enables enterprises to benefit from the adoption of Generative AI while protecting from the full range of risks to their applications, employees and customers. At every touchpoint of Generative AI in an organization — from AI tools used by employees to GenAI integrations in customer-facing products — Prompt inspects each prompt and model response to prevent the exposure of sensitive data, block harmful content, and secure against GenAI-specific attacks. The solution also provides leadership of enterprises with complete visibility and governance over the AI tools used within their organization.
  • 6
    Acuvity

    Acuvity

    Acuvity

    Acuvity is the most comprehensive AI security and governance platform for your employees and applications. DevSecOps implements AI security without code changes and devs can focus on AI Innovation. Pluggable AI security results in completeness of coverage, without old libraries or insufficient coverage. Optimize costs by efficiently using GPUs only for LLM models. Full visibility into all GenAI models, apps, plugins, and services that your teams are using and exploring. Granular observability into all GenAI interactions with comprehensive logging and an audit trail of inputs and outputs. AI usage in enterprises requires a specialized security framework that is able to address new AI risk vectors and comply with emerging AI regulations. Employees can use AI confidently, without risking exposing confidential data. Legal would like to ensure there are no copyright, or regulatory issues while using AI-generated content.
  • 7
    Aurascape

    Aurascape

    Aurascape

    ​Aurascape is an AI-native security platform designed to help businesses innovate securely in the age of AI. It provides comprehensive visibility into AI application interactions, safeguarding against data loss and AI-driven threats. Key features include monitoring AI activities across numerous applications, protecting sensitive data to ensure compliance, defending against zero-day threats, facilitating secure deployment of AI copilots, enforcing coding assistant guardrails, and automating AI security workflows. Aurascape's mission is to enable organizations to adopt AI technologies confidently while maintaining robust security measures. AI applications interact in fundamentally new ways. Communications are dynamic, real-time, and autonomous. Prevent new threats, protect data with unprecedented precision, and keep teams productive. Monitor unsanctioned app usage, risky authentication, and unsafe data sharing.
  • 8
    Koi

    Koi

    Koi Security

    Koi is a software supply chain security platform that helps organizations track, govern, and control installations across every endpoint. From browser extensions to IDE plug-ins, CI/CD tools, and AI models, Koi secures the blind spots where attackers often gain entry. Its Wings™ technology goes beyond surface scans by analyzing actual code for secrets, vulnerabilities, and malware while continuously updating risk scores. Koi combines marketplace scanning, publisher reputation intelligence, and dynamic code analysis to deliver real-time visibility and control. With features like automated approvals, preventive policies, and detailed risk reports, teams can block unsafe installs without slowing down adoption of safe tools. By making every install transparent and governable, Koi ensures enterprises can safely harness the full power of their software ecosystem.
  • 9
    Matters.AI

    Matters.AI

    Matters.AI

    Matters.AI is the first AI Security Engineer for Data, built for the AI and data layer to autonomously see, understand, and resolve data misuse before the SOC opens a ticket. It protects what truly matters wherever data lives or travels, functioning like an AI security engineer that understands context, monitors behavior, and protects sensitive data autonomously across cloud, SaaS, endpoints, microservices, and AI pipelines. Matters is built on semantic intelligence, nearest neighbor search, data lineage modeling, and predictive behavior analysis, so it does not just detect threats; it understands context, anticipates risk, and takes action proactively. Instead of relying on static rules, regexes, dashboards, and noisy alerts, Matters reads between the lines, traces risk in motion, and never sleeps. It identifies sensitive data not just by how it looks, but by what it represents, tracking data across cloud, SaaS, endpoints, and beyond using fingerprinting and eBPF.
  • 10
    Pillar Security

    Pillar Security

    Pillar Security

    Pillar Security is a unified AI security platform for securing the agentic workforce across the entire AI lifecycle, from development to deployment and runtime protection. It connects business context across discovery, testing, and protection so security intelligence compounds across AI applications, agents, models, prompts, frameworks, tools, MCP servers, skills, coding agents, SaaS, cloud, code, and endpoints. Pillar helps organizations discover and manage AI assets everywhere, including shadow AI and unapproved systems, assess supply chain and posture risks, map agentic attack surfaces, and validate the vulnerabilities that actually matter. Its AI Security Posture Management capabilities analyze connected agents, tools, permissions, data sources, prompts, models, and supply chain components to expose risky paths, policy violations, misconfigurations, coding agent risks, and blast radius when a single component is compromised.
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