Best AI Security Software for Microsoft Copilot

Compare the Top AI Security Software that integrates with Microsoft Copilot as of September 2025

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

What is AI Security Software for Microsoft Copilot?

AI security software is a technology that uses artificial intelligence (AI) to protect online systems from malicious attacks. AI security software can also ensure that companies are using AI software and generative AI tools safely. It can detect potential threats and blocks them before they cause damage. AI security software provides additional protection beyond traditional methods such as firewalls, antivirus, and intrusion detection systems. AI security software can be used to protect not only corporate networks but also individual computers from cyberattacks. The AI algorithms use machine learning techniques to learn about the changing patterns of malicious behavior in order to identify new threats more quickly and accurately. It also has the ability to adapt its responses over time, making it a powerful tool for combating ever-evolving cyber threats. Many companies now deploy AI security software as part of their comprehensive cybersecurity strategy. Compare and read user reviews of the best AI Security software for Microsoft Copilot currently available using the table below. This list is updated regularly.

  • 1
    Tenable AI Exposure
    Tenable AI Exposure is an agentless, enterprise-grade solution embedded within the Tenable One exposure management platform that provides visibility, context, and control over how teams use generative AI tools like ChatGPT Enterprise and Microsoft Copilot. It enables organizations to monitor user interactions with AI platforms, including who is using them, what data is involved, and how workflows are executed, while detecting and remediating risks such as misconfigurations, unsafe integrations, and exposure of sensitive information (like PII, PCI, or proprietary enterprise data). It also defends against prompt injections, jailbreak attempts, policy violations, and other advanced threats by enforcing security guardrails without disrupting operations. Supported across major AI platforms and deployed in minutes with no downtime, Tenable AI Exposure helps organizations govern AI usage as a core part of their cyber risk strategy.
  • 2
    Microsoft Security Copilot
    Empower your defenders to detect hidden patterns, harden defenses, and respond to incidents faster with generative AI—now in preview. During an attack, complexity can cost you. Synthesize data from multiple sources into clear, actionable insights and respond to incidents in minutes instead of hours or days. Triage signals at machine speed, surface threats early, and get predictive guidance to help you thwart an attacker’s next move. The demand for skilled defenders vastly exceeds the supply. Help your team make the most impact and build their skills with step-by-step instructions for mitigating risks. Ask Microsoft Security Copilot questions in natural language and receive actionable responses. Identify an ongoing attack, assess its scale, and get instructions to begin remediation based on proven tactics from real-world security incidents. Microsoft Security Copilot integrates insights and data from security tools and delivers guidance that’s tailored to your org.
  • 3
    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.
  • 4
    Opsin

    Opsin

    Opsin

    Opsin is a cutting-edge GenAI security company. Opsin provides a comprehensive security orchestration layer that empowers organizations to build GenAI applications securely with their data. From a security perspective, Opsin includes enterprise-level security tools such as auditing and data lineage in GenAI models to meet security and compliance requirements from the outset. Our platform prevents sensitive data from being exposed or leaving the organization, safeguarding information at every step of the process. From a development perspective, our solution allows for the seamless integration of data from structured, unstructured, and CRM sources. This enables developers to create permission-aware GenAI applications that ensure only authorized users can access their permitted data. With tools like Glean and Microsoft Copilot bringing GenAI and data within easy reach, data security and governance still lag behind.
  • 5
    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.
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