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What is Pi?

Pi is an innovative product security platform that aims to build a strong institutional memory for security, enabling organizations to proactively detect, resolve, and prevent recurring vulnerabilities without interrupting their development workflows. By continuously integrating diverse elements such as code repositories, past incidents, reports from penetration tests, and support tickets into a dynamic repository, it offers critical insights into the organization's software development and security methodologies. When a vulnerability is detected, Pi identifies its underlying architectural cause and scans the entire codebase for similar issues, promoting a thorough resolution rather than tackling each problem individually. The remediation strategy is customized to fit the specific programming languages, architectural designs, and coding standards of the organization, allowing it to blend seamlessly into developers' daily activities. Furthermore, the knowledge gained from the system is converted into preventive measures that can be applied within integrated development environments (IDEs) and during pull requests, effectively stopping known insecure practices before they reach production. This holistic approach not only reinforces security but also optimizes the development lifecycle, making security an essential component of the programming process. Ultimately, by embedding security into the development fabric, Pi empowers organizations to innovate confidently while maintaining a strong security posture.

What is MAI-Cyber-1-Flash?

MAI-Cyber-1-Flash is a sophisticated security framework from Microsoft AI, specifically designed to identify vulnerabilities within complex code. It is part of the MAI-Thinking-1 family and has been developed using high-quality data, being fully integrated into MDASH, which is Microsoft's extensive platform for vulnerability detection and resolution through a network of agents. MDASH utilizes more than 100 finely-tuned agents and advanced models to efficiently find, verify, and fix software vulnerabilities, while MAI-Cyber-1-Flash is capable of handling up to 90% of the associated tasks. For more intricate challenges, larger models like GPT-5.4 can be utilized, providing a well-calibrated multi-model strategy that accurately assigns the best model for each task. The synergy between MDASH and MAI-Cyber-1-Flash has led to a remarkable achievement of 96% performance on CyberGym, outperforming other competitors such as Mythos, Gemini, and various GPT-based solutions in their capability to analyze large codebases for vulnerability identification. These technological advancements not only enhance security measures but also represent a significant progression in maintaining the safety and reliability of software systems amidst an increasingly intricate digital environment. The ongoing collaboration between these innovative technologies promises to further revolutionize the field of cybersecurity.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Bitbucket
Confluence
GitHub
GitLab
Grok Bot
Jira
Linear
Notion
Slack

Integrations Supported

Codename MDASH

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Pi Security

Company Location

United States

Company Website

www.pi.security/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

microsoft.ai/news/introducing-mai-cyber-1-flash-inside-mdash/

Categories and Features

AI Agent Security

Not specified

AI Security

Not specified

Code Security

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Security

Not specified

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