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Data Access Governance

Securely manage privileged access to infrastructure resources, including Databases, Kubernetes Clusters, VMs, etc. Generate intermittent credentials with just-in-time access management to prevent credential leakage.
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Sharing Infrastructure Credentials is one of the most high-risk practices. Infrastructure resource credentials are often shared as plain text on Slack or other internal communication tools, which opens up threat surface areas in organizations. Once shared, it's hard to trace where the credentials end up, making them susceptible to accidental leakage, phishing, and insider threats.
    61%
    Breaches involve credentials, whether stolen via social engineering or hacked using brute force.
    40%
    Employees share their credentials with teammates to work collaboratively
Prevent credential leakage by securely sharing access to resources without sharing the actual credentials
Adaptive's proxy hides real credentials, increasing security and preventing leaks. Access infrastructure resources and internal services centrally via Adaptive CLI or your existing client tools. Implement SSO and MFA for any resource at the infrastructure.
Seamlessly Integrates with Existing Developer Workflows
Access your resources via Adaptive CLI - a universal way to connect to Databases, Virtual Machines, Kubernetes, Cloud Providers and Web Services. Adaptive is also compatible with all of your existing third-party client tools.
No Agent, No Network Reconfiguration
Unlock credential-less access without having to install any agents in downstream resources or altering your existing network. Adaptive’s container-based access architecture requires no change to your current infrastructure setup.
SSO and Multi-Factor Authentication
Enhance security by enabling multi-factor authentication on all infrastructure resources, protecting against unauthorized access and potential security threats.
Enterprise Grade
Data Access Governance
Agentless Architecture
Zero Network Reconfiguration
Deploy in the Cloud or On-Prem