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Description
AI Sigil is a comprehensive platform designed for governance, risk, and compliance in the realm of artificial intelligence. It features an up-to-date library containing 28 regulatory frameworks, which includes the EU AI Act and an array of national and state laws. Users are required to register each AI system along with its various components, such as use cases, models, data, interfaces, and actions. The platform then intelligently determines applicable regulations, categorizes the system according to its role and associated risk level, and outlines the requisite obligations, updating them whenever there are changes to the system. These obligations are transformed into actionable requirements and controls, distributed across the organization and the system level, each assigned to a responsible party with defined status, evidence, and review frequency, all while maintaining a comprehensive risk register that includes mitigations. Regular assessments and questionnaires are conducted on a set schedule, preserving a complete history of responses that can be shared with vendors or external evaluators without requiring them to have an account. The output is a regulator-ready report that is created solely from the recorded data and secured with a unique fingerprint, all supported by a thorough activity log. Additionally, the platform supports multi-entity, role-based access, features a REST API and MCP server, and offers support in six different languages, making it a versatile tool for organizations navigating the complexities of AI regulation.
Description
The EY Trusted AI Platform offers organizations valuable insights into the origins and factors contributing to risk, while also assisting an AI design team in assessing and quantifying these risks. Utilizing interactive, web-based tools for schematics and assessments, the platform constructs a detailed risk profile for an AI system. It employs a sophisticated analytical model that transforms user inputs into a composite score, which reflects the technical risk, stakeholder impact, and control effectiveness associated with the AI system. To evaluate technical risk, the platform analyzes the AI system's design, focusing on various risk drivers such as the technologies utilized, the operating environment, and the system’s degree of autonomy. Additionally, when assessing stakeholder risk, the platform takes into account the goals and objectives set for the AI system, as well as the financial, emotional, and physical repercussions for both internal and external users, along with potential reputational, regulatory, and legal challenges that may arise. Overall, this comprehensive approach ensures that all facets of risk are thoroughly examined and understood.
API Access
Has API
API Access
Has API
Screenshots View All
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Integrations
No details available.
Integrations
No details available.
Pricing Details
$999/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
AI Sigil
Founded
2024
Country
United Kingdom
Website
aisigil.com
Vendor Details
Company Name
EY
Country
United Kingdom
Website
www.ey.com/en_us/consulting/trusted-ai-platform
Product Features
Product Features
Risk Management
Alerts/Notifications
Auditing
Business Process Control
Compliance Management
Corrective Actions (CAPA)
Dashboard
Exceptions Management
IT Risk Management
Internal Controls Management
Legal Risk Management
Mobile Access
Operational Risk Management
Predictive Analytics
Reputation Risk Management
Response Management
Risk Assessment