Agyn

Agyn is the open-source, Kubernetes-native management layer that rips AI agents off employee laptops and deploys them safely across your entire organization. It is the missing control plane for the moment AI stops being a side project and starts touching production data. When security, finance, and IT need real controls before they say yes, Agyn is the answer. Every agent runs in a hardened, isolated sandbox. Secrets are vaulted and stay hidden from the model itself, defending against prompt injection and data leaks. Each team gets its own spend cap, role-based access controls, and a complete, immutable audit trail. Agyn works with any agent framework (Claude Code, Codex, custom builds) and any model provider. You can self-host it in your own VPC or use the Agyn Cloud managed service. For non-technical teams, it delivers agents they can actually use without needing a PhD in prompt engineering. For engineering, it provides full oversight, GitOps-based configuration, and instant rollback. For finance, it shows every single dollar spent on tokens per agent and per team. For IT, it stops the nightmare of shadow AI. If your company is moving from agent experiments to agents in production, Agyn is the layer that makes it possible, secure, and auditable.

Multi-Environment Deployment with Private Network Access

Deploy agents directly into your VPC, private networks, and behind corporate firewalls in minutes. Agents can reach internal services like production databases, APIs, and tools that are locked down behind VPNs and VPCs. This eliminates the classic "works on my laptop" problem and enables agents to actually do real work on real data. Supports instant rollback and full network isolation.

Least Privilege and Policy Gate

Every agent operates under strict least privilege. Static policies and a live policy agent inspect every single tool call before it executes. Secrets are stored in a vault and never exposed to the model, providing a robust defense against prompt injection attacks and sensitive data leaks. The policy gate blocks actions outside the agent's defined scope and can escalate ambiguous or high-risk actions for human approval.

Per-Agent Budget Tracking and Cost Attribution

Track spend with surgical precision across agents, teams, and workflows. Set hard budget limits and receive real-time usage alerts before costs spiral out of control. Finance teams get a clear view of every dollar spent on tokens, enabling accurate cost attribution and chargebacks to specific departments or projects. No more surprise bills from shadow AI experiments.

Team Sharing with Role-Based Access Control

Give the right employees access to the right agents without compromising security. Share agents safely across teams with granular role-based access controls. Maintain complete governance as adoption scales from a single team to the entire organization. Every action is logged in a tamper-proof audit trail, satisfying compliance and security requirements.

GitOps Configuration and Sandboxed Execution

Declare agents, sandboxes, tools, MCPs, skills, and prompts entirely in code. This GitOps approach ensures agents run consistently across every team and environment, from local development to production. Each agent executes in an isolated sandbox, preventing any cross-contamination or escalation of privileges. Changes are version-controlled, reviewable, and instantly deployable.

Deploying a Data Analysis Agent to Production

A data science team needs to give a Claude Opus agent read-only access to a production PostgreSQL database behind a corporate VPN to generate quarterly sales reports. Agyn deploys the agent into the VPC, applies a static policy that only allows read database and write reports actions, sets a monthly budget of $500, and provides a shared interface for the entire sales team to query the agent. The policy gate blocks any attempt to write to the database or send data externally.

Rolling Out a Secure Code Reviewer Agent

An engineering team wants a Codex-powered agent that can review pull requests, comment on code, and send email notifications, but must never access external networks or production data. Agyn defines the agent's scope to exactly read repos, comment on PRs, and send email (internal domain only). The policy agent blocks any tool call outside this scope, such as an attempt to email code to a personal address. A full audit log tracks every review and comment.

Enabling a Customer Support Agent with Guardrails

A support team deploys a Claude Haiku agent to handle customer tickets. The agent needs to read tickets, query a customer database, and send replies via email. Agyn sets strict policies: the agent can only access databases within the internal domain, cannot write to the database, and cannot browse the web. A human escalation policy pauses the agent if it attempts to access sensitive user records like Social Security numbers, requiring a manager to approve the action.

Controlling Shadow AI and Sprawl

An IT department discovers multiple teams are using unmanaged AI agents that access corporate data from employee laptops. Agyn provides a single platform to discover, onboard, and govern all agents. Each team gets a dedicated namespace with its own budget, access controls, and audit trail. The security team can enforce organization-wide policies, such as blocking all agents from accessing external file-sharing services, while allowing specific teams to request exceptions.

What types of AI agents and models does Agyn support?

Agyn is model-agnostic and agent-framework-agnostic. It works with any agent built on Claude Code, Codex, custom frameworks, or any other system. You can use any underlying AI model, including GPT-5, Claude Opus, Gemini, and open-source models. Agyn handles the management, security, and orchestration layer regardless of the agent technology you choose.

How does Agyn protect against prompt injection attacks?

Agyn employs a multi-layered defense. First, all secrets are stored in a vault and are never exposed to the model's context window. Second, a policy agent inspects every tool call before execution, blocking actions outside the agent's defined scope. Third, the system sanitizes feedback from external sources to strip out injected instructions. This combination ensures that even if a prompt injection succeeds, the attacker cannot exfiltrate data or execute unauthorized commands.

Can I deploy Agyn on my own infrastructure?

Yes, absolutely. Agyn is open-source and Kubernetes-native. You can self-host it in your own VPC, on-premises data center, or any Kubernetes cluster. The deployment process is a simple git clone and apply.sh command. For teams that prefer a managed experience, Agyn Cloud is also available. This flexibility ensures you can meet any compliance, data residency, or security requirement.

How does Agyn handle budgeting and cost control for AI agents?

Agyn provides per-agent and per-team budget tracking. You can set hard spend caps that automatically stop an agent when the limit is reached. Real-time usage alerts notify administrators when spending approaches thresholds. Every token usage is attributed to a specific agent, team, and workflow, giving finance teams a complete picture of AI costs. This prevents the surprise bills that often come from unmanaged agent usage.