The input you didn't write
Your AI agent reads input you don't own: documents, emails, web pages, tool output. Text hidden in any of them can act as an instruction your model follows.
To the model, a retrieved document and a system prompt are both text. Nobody on your team wrote the hidden instruction, and nobody reviewed it for intent.
What TAWA GUARD does
TAWA GUARD is a pre-inference security layer for AI agents and LLM applications. It is model-agnostic and CPU-based, and it sits in front of any LLM or agent you already use. It is independent of your model provider.
Install it through the API or via cloud access, and one layer covers every AI system you run.
It scores every input before the model acts and returns:
- Establish a Risk score and confidence
- Provide Suggested action - allow, flag or block
- Record evidence - The part of the input that triggered the verdict
- Request ID - A reference you can audit later
Three design principles
1. Your security policy, not ours.
You set the rules that turn a score into allow, review or block, according to your own security or compliance policies. The thresholds are yours to adjust.
2. Easy to read, easy to audit.
Each application gets its own dashboard: what was allowed, what was blocked, and the evidence behind each verdict. Every decision is logged with its request ID, so when an audit comes round the record already exists.
3. No second model, no second bill.
Screening with an LLM judge means a paid model call on every input, benign traffic included, and the longer the input, the higher the cost. TAWA GUARD runs detection on CPUs, with no second model in the loop. Input stopped upstream never reaches your model, so you don't pay to tokenize what you were going to reject.
JOIN US ! Get a free API key: https://tawaguard.com/
Never trust a prompt.
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