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Description
Identity theft arises from the fragmented, domain-focused structure of the internet. Lacking a comprehensive global namespace, each domain must handle identity on its own, resulting in a "survival of the fittest" approach that renders effective global identity security unattainable. Conversely, the Mesh introduces a cryptographic namespace that allows for the establishment of personal keychains for both individuals and non-person entities. This system empowers domains to secure their users' accounts with distinct keys linked to their respective keychains, enhancing security measures. Data breaches often reflect the shortcomings of the domain-centric data protection model prevalent on the internet. In the absence of integrated cryptographic safeguards at the individual or entity level, each domain must independently secure its data, leading to an expanded global attack surface. This situation creates opportunities for "domain insiders" to exploit vulnerabilities, thus increasing liability and risk in the process. Ultimately, a more unified security approach could significantly diminish these risks and enhance overall trust in online interactions.
Description
IndyKite serves as a specialized context graph designed to provide real-time trust, oversight, and clarity for both applications and AI technologies. By converting various signals into immediate enforcement contexts, it evaluates access permissions at the point of usage, answering critical questions about who or what can access specific data, under which circumstances, and the rationale behind it. This innovative platform consolidates identity, metadata, provenance, and policies into a cohesive operational context engine, allowing applications and AI systems to function effectively without the need to navigate through fragmented IAM systems, catalogs, MDM, security tools, code, and documentation. Moreover, IndyKite integrates identity, data, and policy into a unified model, ensuring that controls are applicable to humans, machines, and AI alike. Its Identity Knowledge Graph accurately depicts users, applications, machines, data types, and their interconnections, ultimately creating a comprehensive data model that encompasses both personal and non-personal entities. This robust framework lays the groundwork for intelligent and predictive access control, enriched with contextual insights, facilitating enhanced decision-making across diverse scenarios. By ensuring that all elements of identity and access management are interconnected, IndyKite enhances the overall security and efficiency of AI-driven applications.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
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
Hushmesh
Website
www.hushmesh.com
Vendor Details
Company Name
IndyKite
Founded
2021
Country
United States
Website
www.indykite.ai/
