Best AI Security Software for Model Context Protocol (MCP)

Compare the Top AI Security Software that integrates with Model Context Protocol (MCP) as of December 2025

This a list of AI Security software that integrates with Model Context Protocol (MCP). Use the filters on the left to add additional filters for products that have integrations with Model Context Protocol (MCP). View the products that work with Model Context Protocol (MCP) in the table below.

What is AI Security Software for Model Context Protocol (MCP)?

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 Model Context Protocol (MCP) currently available using the table below. This list is updated regularly.

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    Scanner

    Scanner

    Scanner

    Scanner.dev is a cloud-native security data lake and lightweight security information and event management (SIEM) platform that indexes logs directly in your own Amazon S3 buckets, letting you retain unlimited logs and run full-text searches across petabytes of data in seconds without additional ETL or schema requirements. It builds lightweight indexes that make any log format instantly searchable and supports hyper-fast search and investigation, continuous threat detection with customizable detection rules managed as code via GitHub, and integrated alerting with APIs for automation and integration into existing security workflows. Scanner’s streaming detection engine continuously evaluates rule queries in near real time and can backtest detection logic against historical data, while its API and Model Context Protocol (MCP) enable programmatic access and AI-assisted analysis of security data.
    Starting Price: $30,000 per year
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