Average Ratings 0 Ratings
Average Ratings 2 Ratings
Description
Codename MDASH represents an advanced code scanning tool integrated within Microsoft Defender, leveraging a multi-modal AI framework to uncover, verify, and address vulnerabilities with a level of insight that surpasses conventional static analysis methods. This system enhances the Defender CLI by introducing a multistage process where specialized agents work collaboratively through four distinct phases. Initially, the preparation stage organizes ranked files based on risk, utilizing call-graph analysis and evaluating code complexity to identify functions with the highest likelihood of containing vulnerabilities. The scanning phase then transmits this prioritized code to over 100 specialized agents, including those focused on injection flaws, memory safety issues, and authentication bypasses, ensuring each agent targets a specific category of vulnerability. Following this, the validation phase employs taint analysis, type resolution through Language Server Protocol servers, and a debate among multi-model agents to improve confidence levels and minimize false positives. Finally, the deduplication step merges overlapping findings into a comprehensive set of unique and actionable results, enhancing the overall efficiency of vulnerability management processes. This innovative approach signifies a new era in threat detection and remediation within software development.
Description
EarlyCore serves as a dedicated security platform tailored for AI agents, streamlining the processes of pre-production attack testing, real-time surveillance, and compliance documentation throughout the entire lifecycle of the agents.
It evaluates agents against a myriad of attack vectors, such as prompt injection, jailbreaking, data theft, tool misuse, and supply chain vulnerabilities. Once deployed, it continuously monitors each agent's actions, establishes typical behavioral patterns, and identifies anomalies in real time, with alerts sent via Slack, email, or webhooks.
The platform automatically generates compliance documentation aligned with standards like ISO 42001, NIST AI RMF, EU AI Act, SOC 2, and GDPR, ensuring that users remain audit-ready at all times.
With a rapid deployment time of just 15 minutes and no need for code alterations, it offers seamless integration with services like AWS Bedrock, Gemini Enterprise Agent Platform, LangChain, among others. It also provides multi-tenant support, making it an ideal choice for agencies and Managed Security Service Providers (MSSPs).
Designed specifically for security teams, agencies, and MSSPs, EarlyCore empowers organizations to secure AI agents efficiently at scale while maintaining high compliance and security standards.
API Access
Has API
No
API Access
Has API
No
Integrations
AWS AI Factories
No
AWS AI Services
No
Azure OpenAI Service
No
Gemini Enterprise Agent Platform
No
Jira
No
LangChain
No
Logfire
No
MAI-Cyber-1-Flash
Yes
Microsoft Teams
No
Slack
No
Integrations
AWS AI Factories
Yes
AWS AI Services
Yes
Azure OpenAI Service
Yes
Gemini Enterprise Agent Platform
Yes
Jira
Yes
LangChain
Yes
Logfire
Yes
MAI-Cyber-1-Flash
No
Microsoft Teams
Yes
Slack
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$100/month
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
learn.microsoft.com/en-us/security-exposure-management/ai-code-security-overview
Vendor Details
Company Name
EarlyCore
Founded
2025
Country
United States
Website
earlycore.dev/