Secure runtime infrastructure for enterprise AI agents

Run AI agents safely inside your enterprise.

Solitik gives engineering, platform, and security teams controlled execution environments, identity-aware access, policy enforcement, and full auditability for chat, CLI, and autonomous coding agents.

Coding agents

Run Codex against private repositories with policy-gated writes, streamed terminals, and recorded tool calls.

Codex 02

Import any agent

Bring custom agents, internal CLIs, MCP workflows, or model-specific tools into the same governed runtime.

BYO agent 03

Spec agents

Connect spec-driven systems that turn prompts into implementation plans, code, tests, and docs.

AWS Kiro 04

Terminal agents

Give shell-native agents controlled access to repos, credentials, approvals, and audit trails.

Claude Code 05

Open-source agents

Run autonomous software agents in enterprise-owned environments instead of unmanaged laptops.

OpenHands 06

Chat agents

Run assistants that talk to users while invoking approved tools, internal APIs, and enterprise workflows.

Chat + tools

Control plane

Everything enterprises need to adopt agents without exposing the enterprise.

Secure agent runtime

Run agents in isolated, policy-controlled environments with scoped access to repositories, credentials, tools, and internal systems.

Bring your own agents

Run curated agents like Claude Code, Codex, OpenHands, and Kiro, or plug in custom chat and CLI agents built for your organization.

Private MCP connectivity

Connect internal MCP servers and enterprise tools without publishing sensitive infrastructure to the public internet.

Governance

Policy, approvals, and audit trails built into every session.

Solitik records prompts, tool calls, terminal commands, approvals, and session activity so security and platform teams can understand what agents did, why they did it, and who approved it.

SAML and enterprise identity provider support

Repository and team-level access controls

Policy-based approval workflows

Real-time streaming and session replay

Auditability for prompts, tools, commands, and approvals

Use cases

Designed for teams responsible for secure AI adoption.

Engineering teams

Give developers access to powerful agents without handing uncontrolled credentials or repository access to local machines.

Platform teams

Standardize agent execution, session management, runtime isolation, observability, and deployment workflows across the company.

Security teams

Define guardrails, monitor agent behavior, approve sensitive actions, and retain replayable evidence for audits and reviews.

Pilot program

Bring AI agents into your enterprise boundary.

We are working with teams that need secure-by-default infrastructure before scaling chat, CLI, and autonomous agents across internal systems.