TAWA GUARD is an AI System Security product that screens documents, emails, web pages, tool output and prompts before they reach an LLM or agent, and answers allow, flag or block.

The problem. AI is moving into everything: support assistants, research agents, document tools, internal copilots. They all read content nobody on your team wrote: customer emails, uploaded files, web pages, tool results.

What we built. TAWA GUARD checks every input before your model reads it.
It is one layer in front of any LLM or agent, whichever provider or framework you use.

Each check returns:

• a decision: allow, flag or block

• a risk score with a confidence value

• the part of the input that triggered it

• a request ID, so you can audit it later

What you get from it.
Protection before the model acts. Blocked input never reaches your model, so it never uses your tokens or compute.
Control. You set the policy that turns a score into pass, review or block, to match your own security and compliance rules.
Visibility. An admin dashboard shows what was allowed and blocked, and the reason. Nothing is a black box.
One layer for every AI system you run, instead of a different tool for each model.