Koreshield
Security and evidence for AI support agents
Details
- External ID
- 1258208
- Source
- PH
- Company
- —
- Product
- Koreshield
- Website domain
- producthunt.com
- Launched
- Sept. 23, 2026
- Cohort
- —
- Upvotes
- 92
- Upvotes percentile
- 0.9830553773786616
- Tags
- Developer Tools, Artificial Intelligence, Security
- Fetched at
- Sept. 24, 2026, 5:01 p.m.
- Updated at
- Sept. 24, 2026, 5:01 p.m.
Description
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.
Enrichment
- Theme
- ai cybersecurity and penetration testing
- Vertical
- Security
- Function
- Observability & eval
- Audience
- B2B
- AI stance
- AI-native
- Project type
- Commercial product
- Normalized one-liner
- security and audit platform for ai customer support agents
- Manually corrected
- False
Could you build this?
Partial While the API proxy and rule configuration can be vibe-coded, robust real-time detection of indirect prompt injections and RAG data poisoning requires specialized adversarial ML security research.
What it would actually take: A production implementation requires a high-throughput, low-latency inspection proxy built with Go or Rust (or FastAPI for lightweight setups) positioned between user inputs, RAG retrieval pipelines, and LLM orchestration layers. The hard engineering lies in building reliable, low-latency heuristic and ML-based classification engines capable of detecting indirect prompt injection, data exfiltration payloads, and malicious tool-calling schemas without degrading conversation response times or suffering high false-positive rates. This demands specialized expertise in adversarial machine learning, LLM security benchmarks, and formal verification of agent tool parameters.
Competitors
Other products that read as similar to this one — 226 launches clear the similarity bar, closest 8 shown.
Attention rank: #13 of 227 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 321 days after the earliest competitor.
- Provenant by IdentiQube · ph · 2026-09-12 · 2 upvotes · similarity 0.46
- Safebird · ph · 2026-09-15 · 3 upvotes · similarity 0.44
- AgentEyes · ph · 2026-09-11 · 2 upvotes · similarity 0.42
- Optimus.AI · ph · 2026-09-30 · 2 upvotes · similarity 0.42
- ReplyPilot · ph · 2026-09-17 · 1 upvotes · similarity 0.41
- DidWork · ph · 2026-09-25 · 3 upvotes · similarity 0.41
- Agent Brain Trust, customisable expert panels for AI agents · hn · 2026-04-21 · 5 upvotes · similarity 0.41
- Trust Protocols for Anthropic/OpenAI/Gemini · hn · 2026-02-18 · 40 upvotes · similarity 0.40
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a observability & eval tool for Media & entertainment yet.