Services
AI guardrails for agents, LLM apps and RAG
Guardrails are the controls around a model: what an agent is allowed to do, what gets logged, what gets blocked, and what the model may say. We review whether yours exist, whether they hold, and what evidence they leave, for private and commercial AI and for RAG architectures.
What you get
Fixed scope · typically 2–3 weeks
- Tool and permission review: which actions each agent can reach
- Audit logging and blocking rules for unauthorized tool calls and agent actions
- Guardrails for private and commercial AI and for RAG architectures
- Content safeguards against toxic, biased or inaccurate output
When this fits
- Agents or LLM applications are about to reach real data and real tools.
- You have guardrails on paper but cannot show that they work.
- You need to know afterwards what an agent did, and why it was allowed to.
How it works
01
Map what can happen
We list the tools, data and actions each agent can reach, and what the model can be made to say.
02
Test the controls
We check whether unauthorized tool calls and agent actions are logged and blocked, and how failures are detected.
03
Report
You receive prioritised findings you can act on. Implementing the controls is scoped separately.
Common questions
What are AI guardrails?
Controls that limit and record what an AI system can do: permissions on the tools an agent may call, rules that block unauthorized actions, logs that show what happened, and safeguards on the content a model produces.
Can guardrails stop all harmful or inaccurate output?
No. We can reduce it and show you the evidence. No safeguard catches everything, so the review also sets how failures are detected and handled.
Do you implement the guardrails too?
The review comes first and ends in prioritised findings. Implementing the controls is scoped separately once the review is done.
Does it apply to a private model as well as a commercial API?
Yes. The review covers agents and LLM applications whether the model is private or a commercial API.
Related
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