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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
Formal serves as a reverse proxy that is aware of protocols, enhancing security measures for databases, APIs, infrastructure, and AI tools by implementing least privilege principles at the wire-protocol layer. This tool is deployed as a singular stateless binary within a Virtual Private Cloud (VPC) using platforms like Terraform, Kubernetes, or Docker, effectively positioning itself between users and resources without necessitating alterations to applications, SDKs, or agents. Formal supports the analysis of over 15 distinct protocols, such as PostgreSQL, MySQL, MongoDB, Snowflake, SSH, Kubernetes, HTTP, MCP, S3, Redis, RDP, BigQuery, ClickHouse, and DynamoDB, which empowers it to make decisions based on specific queries rather than relying solely on broad network filtering. Furthermore, its policies can oversee user authentication and authorization, mask or filter data fields, modify requests, prohibit certain actions, mandate multi-factor authentication, isolate sessions, revoke access, or enable impersonation throughout the stages of session, request, and response. Additionally, teams have the capability to protect AI agents and MCP servers by eliminating personally identifiable information before it is processed by a model, preventing unauthorized calls to tools, and meticulously auditing each action taken. This comprehensive approach not only enhances security but also ensures compliance with data protection regulations.
API Access
Has API
API Access
Has API
Integrations
Amazon DynamoDB
Amazon S3
ClickHouse
Datadog
Docker
Google Cloud BigQuery
Kubernetes
MAI-Cyber-1-Flash
Model Context Protocol (MCP)
MongoDB
Integrations
Amazon DynamoDB
Amazon S3
ClickHouse
Datadog
Docker
Google Cloud BigQuery
Kubernetes
MAI-Cyber-1-Flash
Model Context Protocol (MCP)
MongoDB
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
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
Formal
Country
United States
Website
formal.ai/
Product Features
Product Features
Data Security
Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance
Alternatives
Alternatives
No Alternatives