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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
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
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)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Hushmesh
Website
www.hushmesh.com
Vendor Details
Company Name
IndyKite
Founded
2021
Country
United States
Website
www.indykite.ai/