Compare the Top IT Security Software that integrates with Replit as of July 2026

This a list of IT Security software that integrates with Replit. Use the filters on the left to add additional filters for products that have integrations with Replit. View the products that work with Replit in the table below.

What is IT Security Software for Replit?

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 Replit currently available using the table below. This list is updated regularly.

  • 1
    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
  • 2
    Knostic

    Knostic

    Knostic

    Knostic is an enterprise AI security and governance platform designed to prevent data leakage and control how large language models access and share information within organizations. It introduces “need-to-know”–based access controls that dynamically determine what information an AI system can reveal based on user roles, context, and intent, rather than relying solely on static file permissions. It focuses on the knowledge layer between raw data and AI-generated responses, analyzing how information is inferred, combined, and delivered to ensure sensitive content is not overshared. Knostic provides continuous visibility into AI usage across tools like Copilot and other LLM-powered assistants, identifying risks such as semantic oversharing, inference-based exposure, and unauthorized knowledge access. It simulates real-world prompts to uncover hidden vulnerabilities before deployment, assigns quantified risk scores, and enables organizations to enforce granular policies.
    Starting Price: Free
  • 3
    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.
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