Codename MDASH

Codename MDASH

Microsoft
+
+

Related Products

  • cside
    37 Ratings
    Visit Website
  • Kitecyber
    87 Ratings
    Visit Website
  • Criminal IP
    457 Ratings
    Visit Website
  • Daylight
    15 Ratings
    Visit Website
  • Rocket z/Assure VAP
    1 Rating
    Visit Website
  • Anaconda
    625 Ratings
    Visit Website
  • Astra Pentest
    296 Ratings
    Visit Website
  • Athena Security
    5 Ratings
    Visit Website
  • Gemini Enterprise Agent Platform
    1,161 Ratings
    Visit Website
  • Auth0
    1,082 Ratings
    Visit Website

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.

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.

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

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

Audience

Security and engineering teams that need to detect, validate, prioritize, and automatically fix vulnerabilities across software repositories with agentic AI

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

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Company Information

Microsoft
Founded: 1975
United States
learn.microsoft.com/en-us/security-exposure-management/ai-code-security-overview

Company Information

Rilevera
Founded: 2024
United States
www.rilevera.com

Alternatives

Alternatives

Claude Security

Claude Security

Anthropic
CodeMender

CodeMender

Google DeepMind
Cortex XSIAM

Cortex XSIAM

Palo Alto Networks

Categories

AI Security Supported

Categories

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

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
Claim Codename MDASH and update features and information
Claim Codename MDASH and update features and information
Claim Rilevera and update features and information
Claim Rilevera and update features and information