Token provides Machine-First Identity Security that continuously discovers and monitors all identities accessing cloud environments, including machines, applications, and services. This approach addresses the growing complexity of non-human identities, enabling organizations to identify and mitigate risks associated with compromised credentials and stale identities without disrupting business operations.
Funding
$7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
SVFounders
Product
Problem
The proliferation of non-human identities (NHIs) such as machines, applications, and services in cloud environments has created a complex and often unmanaged attack surface. Traditional human-centric identity security approaches struggle to provide adequate visibility and control over these NHIs, leading to compromised credentials, stale identities, and increased risk.
Solution
Token provides a Machine-First Identity Security platform that continuously discovers and monitors all identities, including NHIs, accessing cloud resources. By focusing on the machines being accessed, Token uncovers who is accessing what and identifies potential risks without disrupting business operations. The platform offers a unified view of all identities, automates the process of addressing security gaps, and facilitates healthy identity lifecycle practices. Token's agentless architecture and cloud-native design ensure rapid deployment and quick time to value.
Target Audience
Token's primary customers are security teams and CISOs seeking to manage and secure non-human identities in cloud environments, reduce the risk of compromised credentials, and improve overall cloud security posture.
Features
- Automated discovery of all identities across cloud environments, including machines, applications, workloads, functions, and services
- Unified view of all identities, stitching together relevant data from K8s, databases, servers, and containers
- Continuous monitoring for identity exposure, such as stale, local, unfederated, or shadow identities
- Contextualization of risks using cloud data, log analysis, and security tools
- Prioritization of risks based on severity of business impact
- Automated remediation of identity-related risks without operational disruption
- Support for healthy identity lifecycle practices, including identity creation, removal of stale identities, and key rotation
- Agentless deployment and cloud-native architecture