Unified model access
Configure model services and connections centrally, giving agent clients a team-managed entry point. Connect using supported client, protocol, and model configurations.
AI agent security gateway
WhitzardGateway
A secure, efficient gateway for AI agents
Connect agents to model services, apply team access policies and runtime safeguards, and track activity, token usage, and estimated costs.
Core capabilities
Access and runtime safeguards
Assign individual agent credentials and access policies. Apply security checks at request, model-output, and tool boundaries, with versioned rules and configuration.
Activity and usage records
Review execution traces, protection records, and token usage alongside their supporting evidence. Cost estimates retain pricing and estimation context; they are not invoices.
Built for team workflows
Manage agent access
Configure model connections and individual credentials for your team's agents, with centrally managed model access and permissions.
Apply team policies
Set model and tool permissions around each member's and agent's scope of work, with runtime checks for potential risks.
Review activity and usage
Inspect run histories and protection outcomes, then review token usage and estimated costs to inform operational decisions.
Product access
Talk with the team about deployment, model connections, and your management requirements.
A SaaS service for small and midsize businesses is planned. Join the waitlist for product updates and testing opportunities.