Codename MDASHMicrosoft
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Related Products
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About
Codename MDASH is an agentic code scanner in Microsoft Defender that uses a multi-model AI system to detect, validate, and remediate vulnerabilities with greater depth than traditional static analysis. It extends Defender CLI with a multistage pipeline in which specialized agents collaborate across four stages. Prepare ranks files by risk using call-graph analysis and code-complexity metrics, prioritizing functions most likely to contain vulnerabilities. Scan sends ranked code to more than 100 expert agents, including injection, memory-safety, and auth-bypass auditors, with each agent focused on a specific vulnerability class. Validate combines taint analysis, type resolution through Language Server Protocol servers, and multi-model agentic debate to refine confidence and reduce false positives. Dedup consolidates overlapping results into a final set of unique actionable findings.
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About
Rilevera is an AI Detection Engineer that continuously validates, improves, and manages detections across SIEM, EDR, and data platforms so security teams can focus on stopping real threats instead of chasing broken rules. It validates detection logic, telemetry dependencies, and schema integrity across platforms, immediately identifying when a rule breaks or required data disappears. AI-driven detection optimization analyzes performance data, false-positive trends, overlap, and logic quality to recommend improvements and push validated updates back into execution platforms. Coverage and Gap Analysis maps detections and telemetry to MITRE techniques and threat actors, helping teams identify blind spots and prioritize new rule development. Structured workflows for design, validation, peer review, and controlled deployment bring discipline and speed to the detection lifecycle. Rilevera continuously analyzes detection performance to improve signal quality, reduce alert fatigue, etc.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Security and engineering teams that need to detect, validate, prioritize, and automatically fix vulnerabilities across software repositories with agentic AI
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Audience
Detection engineers, SOC leaders, and CISOs seeking to validate and improve threat detections, identify coverage gaps, reduce noise, and measure detection health across security platforms
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Company InformationMicrosoft
Founded: 1975
United States
learn.microsoft.com/en-us/security-exposure-management/ai-code-security-overview
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Company InformationRilevera
Founded: 2024
United States
www.rilevera.com
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Categories |
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Integrations
CrowdStrike Falcon
Not Supported
Databricks
Not Supported
Datadog
Not Supported
Dataminr
Not Supported
Elasticsearch
Not Supported
Flare
Not Supported
MAI-Cyber-1-Flash
Supported
Snowflake
Not Supported
Sumo Logic
Not Supported
Wiz
Not Supported
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Integrations
CrowdStrike Falcon
Supported
Databricks
Supported
Datadog
Supported
Dataminr
Supported
Elasticsearch
Supported
Flare
Supported
MAI-Cyber-1-Flash
Not Supported
Snowflake
Supported
Sumo Logic
Supported
Wiz
Supported
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