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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 Codename MDASH?

Codename MDASH refers to a sophisticated code scanning tool that is incorporated into Microsoft Defender, utilizing a multi-modal AI framework to identify, confirm, and resolve vulnerabilities with far greater depth than traditional static analysis techniques. It enhances the Defender CLI through a multistage method where dedicated agents collaborate across four distinct phases. First, the preparation phase sorts files by risk level, applying call-graph analysis and assessing code complexity to pinpoint functions most likely to harbor vulnerabilities. Next, the scanning phase delivers this prioritized code to over 100 specialized agents, each concentrating on specific types of vulnerabilities such as injection flaws, memory safety concerns, and authentication bypasses, ensuring targeted assessments. The subsequent validation phase incorporates taint analysis and type resolution via Language Server Protocol servers, in addition to a deliberation among multi-model agents, to bolster confidence levels and reduce false positives effectively. Ultimately, the deduplication step consolidates overlapping findings into a coherent set of unique, actionable results, thereby improving the overall efficacy of vulnerability management strategies. This groundbreaking methodology marks a transformative shift in how threats are detected and remediated during the software development lifecycle. As a result, organizations can better safeguard their applications against emerging security risks.

Media

Media

Integrations Supported

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

Integrations Supported

MAI-Cyber-1-Flash

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

learn.microsoft.com/en-us/security-exposure-management/ai-code-security-overview

Categories and Features

AI Agent Security

Not specified

AI Security

Not specified

Code Security

Not specified

Categories and Features

AI Security

Not specified

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