This product was either taken down by Product Hunt or deleted. It will be kept for historical purposes.
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Koreshield
Security and evidence for AI support agents
Every AI support agent takes input from someone it should not trust: the customer message, the documents it retrieves, and the tool calls it proposes. Koreshield screens all three before they become trusted model behavior or application execution. Data leaks, hidden instructions in help articles, policy drift and unsafe agent actions are checked before the model acts, and every decision is recorded. One call to integrate.
Today we are launching Koreshield. It sits between your AI support agent and every LLM.
Your support agent talks to strangers and acts on what they say. In most teams, nothing checks that input before the model acts on it. We do.
The problem: A support agent acts on inputs it cannot trust: the customer message, the documents it retrieves, and the tool calls it proposes. Our job is to check all three before they become trusted model behavior or application execution.
Two things you can try right now:
AI Security Gateway: One call before the model: your server sends the input to https://api.koreshield.com/v1/scan with an X-API-Key header, and the decision comes back before the model sees it. One declarative policy governs every request, and the same policy applies across OpenAI, Anthropic, Gemini and openai-compatible models, even though each provider normalises streaming and tool calls differently.
Tool action governance: Every proposed tool call is checked against your policy before it runs. A support bot steered toward an action it should not take simply does not execute, whether that is an account edit, an order change, or a refund above your limit.
Also part of the platform.:
- RAG Security checks the knowledge base the bot reads, so hidden instructions in a help article are caught.
- Every request and every block is recorded. The record matters as much as the block.
Honest about what this is.:
- Request-layer enforcement only. Response-layer inspection is on the roadmap.
- We are not claiming to have solved AI security. It is a new field and anyone who says otherwise is selling.
Free trial on the hosted plans (one-time 3-day trial, card required). Docs at docs.koreshield.ai, API key in about two minutes.
If you run an AI support agent, try to break it. If you do, we want the report first.
About Koreshield on Product Hunt
“Security and evidence for AI support agents”
Koreshield launched on Product Hunt on September 23rd, 2026 and earned 0 upvotes and 3 comments, placing #52 on the daily leaderboard. Every AI support agent takes input from someone it should not trust: the customer message, the documents it retrieves, and the tool calls it proposes. Koreshield screens all three before they become trusted model behavior or application execution. Data leaks, hidden instructions in help articles, policy drift and unsafe agent actions are checked before the model acts, and every decision is recorded. One call to integrate.
On the analytics side, Koreshield competes within Developer Tools, Artificial Intelligence and Security — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Koreshield performed against the three products that launched closest to it on the same day.
Who hunted Koreshield?
Koreshield was hunted by Teslim Kazeem. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Koreshield including community comment highlights and product details, visit the product overview.
Teslim Kazeem