Agent Firewall
An agent firewall applies policy to what AI agents do, not only what they say. It checks every tool call on the way out and scans what the tool sends back before the agent reads it.
Why agents need it
Agents act on their own, at machine speed. A prompt check alone misses the tool calls, and the data that comes back from tools can carry personal data into the agent’s context.
In Raidu
Tower’s Agent Firewall puts every message and every tool call through the same policy stack. It ships 473 prebuilt tool templates across 33 categories, plus your own. Policy sets are configured per agent and per organisation; a call outside the allowed set is blocked and logged, and every step of the call chain is written to the tamper-evident record in order.
Questions about Agent Firewall.
Is the tool output checked? +
Can we restrict which tools an agent can call? +
AI FinOps
AI FinOps is the practice of managing what AI model calls cost: setting budgets per team, attributing every call to the team and decision …
Read ›AI Firewall
An AI firewall is a control that sits between people, apps and agents and the AI models they call. It checks every prompt, agent step and …
Read ›AI Inventory
An AI inventory is a live register of every AI app, agent, model, provider and tool an organisation uses, each with its risk tier, intended …
Read ›Raidu is the accountability layer for your data and your AI. Intercept. Explain. Prove.
See the runtime, the tamper-evident record, and what a regulator-ready trail looks like for your AI stack.