Use case 1
Gateway integration with an adjacent cyber product
A specialist malware gateway provider is integrating the FIOR AI Gateway into its product, so that its customers gain immediate access to FIOR’s agentic security and governance capabilities.
This approach allows the partner to extend an existing cyber product into the AI security layer without asking customers to deploy a separate, disconnected system.
Key benefits include:
- Immediate AI governance capability: Customers can add authentication, policy enforcement and audit controls for AI agents through a product they already trust.
- Stronger security at the point of traffic inspection: Malware detection and AI agent governance can operate together, reducing gaps between traditional cyber defence and emerging AI risk.
- Faster route to market for partners: Cyber vendors can offer AI security functionality without building an entire agent governance stack from scratch.
- Lower friction for customers: Enterprises can adopt FIOR through an existing gateway architecture, procurement path and operational workflow.
- Better visibility and control: AI agent activity can be identified, governed and audited alongside existing security telemetry.
Use case 2
AI Foundry
A prominent AI foundry company specialising in highly-efficient edge versions of large language models is partnering with FIOR to use its technology to make those models more secure, accountable and better governed.
This supports the deployment of smaller, high-performance AI models into environments where trust, provenance and control are essential.
Key benefits include:
- Security embedded into the AI deployment model: FIOR helps ensure that edge AI models are not only efficient, but also identifiable, governable and auditable.
- Support for trusted edge AI: Organisations can deploy AI closer to devices, users and operational environments while maintaining control over how models and agents behave.
- Clearer governance for customers: Enterprises and public sector users can apply policy, authentication and audit requirements to AI systems before they are deployed at scale.
- Reduced risk of unmanaged AI activity: FIOR helps distinguish approved AI agents and models from unauthorised or rogue activity.
- Stronger enterprise adoption case: AI foundries can offer customers a more complete proposition – efficient AI models with built-in security and governance.
Use case 3
Safety-Critical IoT Network
A major industrial company operating safety-critical IoT infrastructure wants to use AI to improve telemetry, monitoring and command-and-control. However, it must ensure that any AI used across the network is secure, authorised and fully audited. It is also concerned about rogue AI agents infiltrating the network or issuing unauthorised instructions.
FIOR supports this by providing a governance and security layer for AI agents operating across complex IoT environments.
Key benefits include:
- Trusted AI command-and-control: Only authorised AI agents should be able to interact with critical systems, sensors and control environments.
- Protection against rogue AI activity: FIOR helps identify and control AI agents attempting to access, influence or operate within the network.
- Auditability for safety-critical environments: AI-driven telemetry, decisions and commands can be logged and reviewed for compliance, assurance and incident response.
- Policy enforcement across distributed infrastructure: Industrial operators can apply consistent governance rules across devices, gateways and operational environments.
- Safer adoption of AI in operational technology: Organisations can gain the efficiency benefits of AI while reducing the risk of uncontrolled or unauthorised AI behaviour.