Launching today
Tawa Guard
See which part of a prompt is the attack, before the LLM
2 followers
See which part of a prompt is the attack, before the LLM
2 followers
TAWA GUARD verifies every input before your AI reads it: prompts, documents, emails, web pages. Allow, flag or block, with the reason. Works with any model. You set the rules, and every decision is logged. Free API key.
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Hey Product Hunt, we're the team behind TAWA GUARD, and today we're releasing our first version.
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.
To a model, text hidden in any of that can look like an instruction. OWASP ranks prompt injection first among LLM application risks and says it is unclear whether fool-proof prevention exists (https://genai.owasp.org/llmrisk/llm01-prompt-injection/).
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.
Free API key: https://tawaguard.com/
Never trust a prompt.