Tabith LLC
Tabith LLC develops Venya, an autonomous infrastructure-control platform for secure command execution with automatic secret injection. Venya lets AI agents use infrastructure credentials without exposing the plaintext credentials to the model or operator, using sandboxing, FIDO2 authorization, mTLS, output redaction, and audit logging.
At a Glance
- Infrastructure and platform engineering teams
- Security-conscious enterprises adopting AI agents
- Organizations managing servers, deployments, and incident response
- Teams using autonomous coding assistants in production infrastructure
AI Tools by Tabith LLC
(1)
Venya
AI Agent Access Management
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Latest News
Venya v0.1.0alpha15 released: private-infrastructure defaults sweep, explicit DNS configuration, fail-closed egress defaults, improved MCP secret rendering, and agent prompts.
Venya v0.1.0alpha14 released as canonical alpha13 code publication, with secret-shape execution, FIDO2 clientPin fixes, and fail-closed masking improvements.
Venya v0.1.0alpha12 released after the pre-beta security remediation program and full-lifecycle acceptance run.
Venya v0.1.0-alpha.11 released with CLI reference documentation and operator-facing fixes including executor certificate-rotation persistence and installer re-run idempotency.
Products & Services
Source-available infrastructure-control software consisting of a core server, executor daemon, operator CLI, and MCP integration. It enables AI agents to execute remote infrastructure commands while credentials are injected only inside a sandbox and never exposed to the model.
Market Position
Venya positions itself against conventional secrets managers such as HashiCorp Vault and CyberArk by arguing that those systems can hand plaintext secrets to a requesting process, while Venya injects secrets only inside a sandbox and returns filtered command output. Its differentiation is the combination of zero-knowledge injection, FIDO2 human authorization, mTLS executor identity, deny-by-default egress, and auditability for AI-driven infrastructure operations.
Founding Story
Tabith says Venya was built by IT engineers who had managed infrastructure and held credentials themselves, observed the tension between automation and security, and did not find a suitable solution. The initial vision was to let AI agents operate infrastructure without giving them access to credential values.
Business Model
Revenue Model
Venya is source-available under BSL 1.1. It is free to use, modify, and run in production below a US$10 million total-revenue threshold and for non-competing use; commercial licensing is required above that threshold or for competing hosted/embedded offerings. The site provides a commercial-license contact (info@tabith.com).
Pricing Tiers
Use, modification, and production use are permitted below the US$10 million total-revenue threshold and for non-competing use.
Required above the revenue threshold or for competing hosted/embedded offerings.
Target Markets
- Infrastructure and platform engineering teams
- Security-conscious enterprises adopting AI agents
- Organizations managing servers, deployments, and incident response
- Teams using autonomous coding assistants in production infrastructure
- AI-assisted server administration and remote command execution
- Infrastructure deployment and troubleshooting
- Incident response and controlled failover
- Using SSH keys, API tokens, database passwords, and other credentials in AI workflows without exposing their values
- Teams adopting Claude Code, Cursor, or other autonomous coding/infrastructure assistants