Platform
Ogment vs. API gateways
Gateways were built to route traffic. Ogment governs how agents use your systems.
What we believe
Top companies will hire millions of agents
Companies will run fleets of agents that need to safely connect to company data, external agents, skills, ask for permission, operate payments, etc..
We also believe it should be very easy for any employee to automate their work, build agents, define which systems to connect. All that while remaining within the company policies and guardrails.
Lastly, we believe there is great value in having an AI native control plane to empower all your employees while staying secure and compliant.
Comparison
Ogment vs. traditional gateways
Gateways route traffic. Ogment governs how agents use your systems.
Main user
Traditional gateways
Ogment
Customization
Traditional gateways
Ogment
AI Native
Traditional gateways
Ogment
Prompt injection
Traditional gateways
Ogment
Outcome
Traditional gateways
Ogment
| Dimension | Traditional gateways | Ogment |
|---|---|---|
| Main user | Owned by platform teams. Not for business teams. | Business teams are the main users. Easy UX for non technical users to configure their agents tools. |
| Customization | One-size routes & policies. | Compose tools per team, agent, workflow. Go very deep into tool customisation for any workflow. |
| AI Native | HTTP-first. Thin AI wrapper on top. | AI native from the ground up: MCP, Skills, Plugins, A2A, etc.. |
| Prompt injection | WAFs miss prompt & tool abuse. | Guardrails built for agent workflows. |
| Outcome | AI adoption stuck with engineering/IT. | Happy business unit, AI adoption picking up, automation on track. |
New standards
New protocols are in town
The next decade of enterprise AI is not a single LLM with a hundred REST endpoints from an existing gateway. It is about going deep inside the new protocols and having fine grain control and customisation into how your equip your agents.
MCP
Model Context Protocol is the open wiring between models and your systems: tools, resources, and prompts as first-class contracts.
A2A
The Linux Foundation and Google co-developed the Agent2Agent protocol so agents can interoperate—hand off work, share context, and stay within policy—without bespoke glue for every pair.
Skills
Skills encode repeatable workflows and domain logic agents can call at runtime. Update a skill once; every agent that depends on it gets the new behavior.
Plugins
Anthropic's plugin format bundles skills, MCP, and commands in one installable package—so you ship cohesive agent surfaces instead of wiring each layer separately.
CLI
Coding agents are strongest in the terminal, so a first-class CLI to connect, authenticate, and run your governed tools matters more every day, not less.
Governance
4 governance strategies you can adopt
Where do you want to define your governance? Are you sure this will enable all your teams?
None / AI clients
- Anyone can connect anything
- Decentralized governance
- Replicate governance for every AI client
API / network gateways
- Wide visibility (e.g. shadow AI)
- Very little granularity / control
- For IT/DevOps
AWS Identity providers
- Identity protocol level control
- Provisioning & De-Provisioning
- IT dashboards
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AI tools gateway
- AI-native (MCP, Skills, A2A, Plugins, etc...)
- Empower all your employees
- AI native governance & security
THE SOLUTION
One control plane for everything your agents need
Make your enterprise AI-native by giving agents access to your systems, data, and knowledge - with the governance to do it safely. Portable. Sovereign. Compatible with any AI system today or tomorrow.
Agent Tools Configuration
Shape what your agents can do by configuring its tools.
- Upload your APIs
- MCP Marketplace
- MCP & CLI compatible
- Skills, Plugins, A2A support
- Merge, Combine, Customise Tools
- Script as Tools
Agent Tools Compatibility
Configure tools once, deploy anywhere, on any stack
- MCP compatible
- CLI compatible
- A2A compatible
- Any AI Client: Claude, Microsoft
- Any Coding Agent: Codex, Claude Code
- Any Custom Agentic Framework (Langchain)
Agent Tools Auth
Fine grain authentication & authorization for safe access.
- OAuth, JWT, Basic Auth, Bearer
- Okta & Entra Compatible
- Agent scoping
- Endpoint-level control
- Service account scoping
- Team permissions
Agent Tools Security
Protect your systems from AI attacks and stay compliant.
- PII redaction
- AI guardrails
- Prompt injection protection
- Risk posture / analysis
- AI Tools policies
| Agent Tools Configuration Shape what your agents can do by configuring its tools. | Agent Tools Compatibility Configure tools once, deploy anywhere, on any stack | Agent Tools Auth Fine grain authentication & authorization for safe access. | Agent Tools Security Protect your systems from AI attacks and stay compliant. |
|---|---|---|---|
| Upload your APIs | MCP compatible | OAuth, JWT, Basic Auth, Bearer | PII redaction |
| MCP Marketplace | CLI compatible | Okta & Entra Compatible | AI guardrails |
| MCP & CLI compatible | A2A compatible | Agent scoping | Prompt injection protection |
| Skills, Plugins, A2A support | Any AI Client: Claude, Microsoft | Endpoint-level control | Risk posture / analysis |
| Merge, Combine, Customise Tools | Any Coding Agent: Codex, Claude Code | Service account scoping | AI Tools policies |
| Script as Tools | Any Custom Agentic Framework (Langchain) | Team permissions | — |
Enterprise integrations
Works with how you already run IT
Enterprise SSO (Entra / Okta)
Connect Ogment to Microsoft Entra ID, Okta, or your SAML/OIDC identity provider so agent access aligns with human access—without a parallel identity system.
VPC setup
Deploy Ogment in your VPC to meet data residency, network isolation, and procurement requirements—keeping traffic and secrets within your control.
Get Started
Do you already have your AI Strategy?
In 20 minutes, we'll review where your organisation stands and what a realistic path to governed AI deployment looks like in your context.
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