Average Ratings 2 Ratings
Average Ratings 0 Ratings
Description
Microsoft Defender for Cloud serves as a comprehensive solution for managing cloud security posture (CSPM) and safeguarding cloud workloads (CWP), identifying vulnerabilities within your cloud setups while enhancing the overall security framework of your environment. It provides ongoing evaluations of the security status of your cloud assets operating within Azure, AWS, and Google Cloud. By utilizing pre-defined policies and prioritized suggestions that adhere to important industry and regulatory benchmarks, organizations can also create tailored requirements that align with their specific objectives. Moreover, actionable insights allow for the automation of recommendations, ensuring that resources are properly configured to uphold security and compliance standards. This robust tool empowers users to defend against the ever-changing landscape of threats in both multicloud and hybrid settings, making it an essential component of any cloud security strategy. Ultimately, Microsoft Defender for Cloud is designed to adapt and evolve alongside the complexities of modern cloud environments.
Description
Transitioning from development to production, as well as from traditional data engineering to artificial intelligence, requires securing the various environments, pipelines, tools, and open-source components integral to your data and AI supply chain. It is essential to continuously identify, prevent, and rectify security and compliance vulnerabilities in AI before they reach production. In addition, monitoring AI applications in real-time allows for the detection and mitigation of adversarial AI attacks while enforcing specific application guardrails. Noma integrates smoothly across your data and AI supply chain and applications, providing a detailed map of all data pipelines, notebooks, MLOps tools, open-source AI elements, and both first- and third-party models along with datasets, thereby automatically generating a thorough AI/ML bill of materials (BOM). Additionally, Noma constantly identifies and offers actionable solutions for security issues, including misconfigurations, AI-related vulnerabilities, and non-compliant training data usage throughout your data and AI supply chain. This proactive approach enables organizations to enhance their AI security posture effectively, ensuring that potential threats are addressed before they can impact production. Ultimately, adopting such measures not only fortifies security but also boosts overall confidence in AI systems.
API Access
Has API
API Access
Has API
Integrations
AI21 Studio
Beats
GitHub
GitHub Advanced Security
Jupyter Notebook
Mathstral
Meta AI
Microsoft Intelligent Data Platform
Ministral 8B
Mistral 7B
Integrations
AI21 Studio
Beats
GitHub
GitHub Advanced Security
Jupyter Notebook
Mathstral
Meta AI
Microsoft Intelligent Data Platform
Ministral 8B
Mistral 7B
Pricing Details
$0.02 per server per hour
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
azure.microsoft.com/en-us/services/defender-for-cloud/
Vendor Details
Company Name
Noma Security
Founded
2023
Country
New York City
Website
noma.security/
Product Features
Cloud Security
Antivirus
Application Security
Behavioral Analytics
Encryption
Endpoint Management
Incident Management
Intrusion Detection System
Threat Intelligence
Two-Factor Authentication
Vulnerability Management
Cloud Workload Protection
Anomaly Detection
Asset Discovery
Cloud Gap Analysis
Cloud Registry
Data Loss Prevention (DLP)
Data Security
Governance
Logging & Reporting
Machine Learning
Security Audit
Workload Diversity
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