Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
DataBahn is an advanced platform that harnesses the power of AI to manage data pipelines and enhance security, streamlining the processes of data collection, integration, and optimization from a variety of sources to various destinations. Boasting a robust array of over 400 connectors, it simplifies the onboarding process and boosts the efficiency of data flow significantly. The platform automates data collection and ingestion, allowing for smooth integration, even when dealing with disparate security tools. Moreover, it optimizes costs related to SIEM and data storage through intelligent, rule-based filtering, which directs less critical data to more affordable storage options. It also ensures real-time visibility and insights by utilizing telemetry health alerts and implementing failover handling, which guarantees the integrity and completeness of data collection. Comprehensive data governance is further supported by AI-driven tagging, automated quarantining of sensitive information, and mechanisms in place to prevent vendor lock-in. In addition, DataBahn's adaptability allows organizations to stay agile and responsive to evolving data management needs.
Description
Security and observability tailored for Kubernetes environments. Implementing security and observability as code is essential for modern cloud-native applications. This approach encompasses cloud-native security as code for various elements, including hosts, virtual machines, containers, Kubernetes components, workloads, and services, ensuring protection for both north-south and east-west traffic while facilitating enterprise security measures and maintaining continuous compliance. Furthermore, Kubernetes-native observability as code allows for the gathering of real-time telemetry, enhanced with context from Kubernetes, offering a dynamic view of interactions among components from hosts to services. This enables swift troubleshooting through machine learning-driven detection of anomalies and performance issues. Utilizing a single framework, organizations can effectively secure, monitor, and address challenges in multi-cluster, multi-cloud, and hybrid-cloud environments operating on either Linux or Windows containers. With the ability to update and deploy security policies in mere seconds, businesses can promptly enforce compliance and address any emerging issues. This streamlined process is vital for maintaining the integrity and performance of cloud-native infrastructures.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Amazon Security Lake
Yes
Amazon Web Services (AWS)
Yes
Calico Cloud
No
Cloudflare
Yes
CrowdStrike Falcon
Yes
Databricks
Yes
Datadog
Yes
Devo
Yes
FortiADC
No
Google Cloud Platform
Yes
Integrations
Amazon Security Lake
No
Amazon Web Services (AWS)
No
Calico Cloud
Yes
Cloudflare
No
CrowdStrike Falcon
No
Databricks
No
Datadog
No
Devo
No
FortiADC
Yes
Google Cloud Platform
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
Yes
Deployment
Web-Based
Yes
On-Premises
No
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)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
DataBahn
Founded
2024
Country
United States
Website
databahn.ai/
Vendor Details
Company Name
Tigera
Country
United States
Website
www.tigera.io
Product Features
Cloud Security
Antivirus
No
Application Security
No
Behavioral Analytics
No
Encryption
No
Endpoint Management
No
Incident Management
No
Intrusion Detection System
No
Threat Intelligence
No
Two-Factor Authentication
No
Vulnerability Management
No
Data Fabric
Data Access Management
No
Data Analytics
Yes
Data Collaboration
No
Data Lineage Tools
Yes
Data Networking / Connecting
No
Metadata Functionality
Yes
No Data Redundancy
Yes
Persistent Data Management
No
Data Security
Alerts / Notifications
No
Antivirus/Malware Detection
No
At-Risk Analysis
No
Audits
No
Data Center Security
No
Data Classification
No
Data Discovery
No
Data Loss Prevention
No
Data Masking
No
Data-Centric Security
No
Database Security
No
Encryption
No
Identity / Access Management
No
Logging / Reporting
No
Mobile Data Security
No
Monitor Abnormalities
No
Policy Management
No
Secure Data Transport
No
Sensitive Data Compliance
No
Log Management
Archiving
No
Audit Trails
No
Compliance Reporting
No
Consolidation
No
Data Visualization
No
Event Logs
No
Network Logs
No
Remediation
No
Syslogs
No
Thresholds
No
Web Logs
No
Product Features
Cloud Security
Antivirus
No
Application Security
Yes
Behavioral Analytics
No
Encryption
No
Endpoint Management
No
Incident Management
No
Intrusion Detection System
No
Threat Intelligence
No
Two-Factor Authentication
No
Vulnerability Management
No
Cloud Workload Protection
Anomaly Detection
No
Asset Discovery
No
Cloud Gap Analysis
No
Cloud Registry
No
Data Loss Prevention (DLP)
No
Data Security
No
Governance
No
Logging & Reporting
No
Machine Learning
No
Security Audit
No
Workload Diversity
No
Container Security
Access Roles / Permissions
No
Application Performance Tracking
No
Centralized Policy Management
No
Container Stack Scanning
No
Image Vulnerability Detection
No
Reporting
No
Testing
No
View Container Metadata
No