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Description
Obtain insights into user actions, including who performed them, when they occurred, and their locations on the Google Cloud Platform. Cloud Audit Logs are invaluable for security teams aiming to uphold comprehensive audit trails within Google Cloud Platform (GCP). This functionality enables organizations to achieve transparency over administrative operations and data access similar to what is available in traditional on-premises setups. Every administrative action is logged on a secure, continuous audit trail that remains impervious to tampering by malicious entities. Furthermore, data access logs can be tailored to align with the specific monitoring and compliance requirements of your organization. Users benefit from receiving audit event notifications in near-real-time, often within seconds of the event taking place. This capability allows for swift assessment and response to any detected activities in a manner that aligns with your organization’s protocols. Additionally, the Cloud Audit Logs are stored in highly secure environments, ensuring a robust, immutable, and extremely durable audit trail that enhances overall security and compliance. Overall, these features make Cloud Audit Logs an essential tool for maintaining oversight in cloud environments.
Description
Trail ML serves as an AI governance copilot platform designed to assist organizations in establishing reliable, compliant, and transparent AI systems by automating tedious governance and documentation activities. It consolidates a variety of essential functions such as AI registry management, policy formulation, risk assessment, automated documentation, development oversight, audit trails, and compliance workflows into a single system, allowing teams to effectively categorize and monitor all AI applications, trace decisions from initial data and model stages to final outcomes, and minimize the burden of manual documentation and governance tasks. Additionally, it incorporates various governance frameworks and templates, facilitates the development of tailored AI policies, and aids teams in recognizing and addressing risks while preparing for audits and adhering to standards like ISO 42001, as well as regulations such as the EU AI Act. Trail employs a combination of curated knowledge, risk libraries, and AI-driven automation to manage governance responsibilities, convert regulatory mandates into actionable tasks, and enhance collaboration among stakeholders, ultimately fostering a more efficient governance environment. By streamlining these processes, organizations can focus more on innovation and less on compliance concerns.
API Access
Has API
API Access
Has API
Integrations
Google Cloud Platform
Amazon Web Services (AWS)
Google Cloud Deploy
Hugging Face
PyCharm
PyTorch
Python
TensorFlow
Visual Studio Code
Integrations
Google Cloud Platform
Amazon Web Services (AWS)
Google Cloud Deploy
Hugging Face
PyCharm
PyTorch
Python
TensorFlow
Visual Studio Code
Pricing Details
$0.50 per GB per month
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
Country
United States
Website
cloud.google.com/audit-logs/
Vendor Details
Company Name
trail
Founded
2023
Country
Germany
Website
www.trail-ml.com
Product Features
Cloud Management
Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
SLA Management
Supply Monitoring
Workflow Approval