Codename MDASH

Codename MDASH

Microsoft
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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.

About

EarlyCore is a security platform built for AI agents. It automates pre-production attack testing, real-time monitoring, and compliance reporting across the full agent lifecycle. Scans agents against thousands of attack scenarios covering prompt injection, jailbreaking, data exfiltration, tool misuse, and supply chain threats. In production, tracks every agent action, establishes behavioral baselines, and flags anomalies in real time. Alerts push to Slack, email, or webhooks. Compliance docs generate automatically, mapped to ISO 42001, NIST AI RMF, EU AI Act, SOC 2, and GDPR. Always audit-ready. Deploys in 15 minutes with zero code changes. Integrates with AWS Bedrock, Gemini Enterprise Agent Platform, LangChain, and more. Multi-tenant support for agencies and MSSPs. Built for security teams, agencies, and MSSPs securing AI agents at scale.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

DevSecOps teams managing large polyglot repositories that need deeper vulnerability detection and AI-assisted remediation inside existing delivery pipelines

Audience

AI Agencies, Fincrime, healthcare, legal tech, insurance tech, MSSP, enterprise, SMB

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

$100/month
Free Version
Free Trial

Reviews/Ratings

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

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Reviews/Ratings

Overall 5.0 / 5
ease 4.5 / 5
features 5.0 / 5
design 4.5 / 5
support 4.5 / 5

Pros & Cons from Real Users

Pros

  • Auto-discovery found agents we didn't even know were running - three teams had spun up LLM integrations without telling security. The threat detection pipeline catches prompt injection attempts and secrets leakage in real time. 22 attack categories in the red team scan is thorough. Setup genuinely took about 15 minutes, which I didn't believe until we actually did it. Compliance reports for EU AI Act and DORA save our team hours every month. The behavioural drift detection flagged a model that had quietly changed its output patterns before it became a real problem.
  • Continuous monitoring across all our AI agents — not just a one-time scan. The threat detection pipeline catches things we were manually checking for with custom scripts: prompt injection, secrets in outputs, PII leakage, permission drift. Supports our Bedrock and SageMaker deployments natively. Issue management system tracks every finding from detection through to resolution. Real-time alerting means we catch problems in minutes rather than in the next quarterly review. The 22-category red team assessment gave us a proper risk scorecard we could present to the board.

Cons

  • Dashboard could use more customisation options for executive-level views. Would like to see more third-party integrations beyond AWS and the current set - Civo native support would be useful for part of our stack.
  • Early days for the product so the integration library is still growing. Would like deeper analytics and trending views for long-term security posture tracking.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

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

Company Information

EarlyCore
Founded: 2025
United States
earlycore.dev/

Alternatives

Alternatives

Claude Security

Claude Security

Anthropic
CodeMender

CodeMender

Google DeepMind
Operant

Operant

Operant AI
Cortex AgentiX

Cortex AgentiX

Palo Alto Networks

Categories

Categories

Integrations

AWS AI Factories
AWS AI Services
Azure OpenAI Service
Gemini Enterprise Agent Platform
Jira
LangChain
Logfire
MAI-Cyber-1-Flash
Microsoft Teams
Slack

Integrations

AWS AI Factories
AWS AI Services
Azure OpenAI Service
Gemini Enterprise Agent Platform
Jira
LangChain
Logfire
MAI-Cyber-1-Flash
Microsoft Teams
Slack
Claim Codename MDASH and update features and information
Claim Codename MDASH and update features and information
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