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Koreshield

Koreshield

AI

Runtime trust layer that scans customer input, retrieved context and proposed tool calls in AI support workflows before they become trusted instructions.

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Paid
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About Koreshield

Koreshield is a security service for AI customer-support workflows that stops untrusted content from being treated as trusted instructions. It evaluates three trust boundaries independently: customer messages and attachments before model execution, retrieved context such as tickets, CRM notes and RAG documents, and proposed tool calls before they run. Teams integrate it through a server-side scan API, start in detect mode alongside live traffic to review threats and false positives, and only switch to enforce mode once fallback behavior is understood. Every decision is recorded with its reason, giving an evidence trail for security review. It works alongside the existing model rather than replacing it, and can be run as a hosted service or deployed as a FastAPI service with PostgreSQL in your own infrastructure.

Screenshots

Koreshield screenshot 1
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Key Features

Customer Input Scanning: Inspects messages, attachments and externally controlled text before model execution so injected instructions never reach the model as trusted input.
Retrieved Context Screening: Keeps poisoned tickets, CRM notes and RAG documents from inheriting system-level authority inside the prompt.
Proposed Action Evaluation: Checks tool calls against trust, approval and authorization limits before they are executed.
Detect and Enforce Modes: Run in detect mode to record threats without interrupting traffic, then enable enforcement only where fallback behavior is ready.
Decision Evidence Trail: Records severity, decision and reason for every request, retained for 7 or 30 days depending on plan, for review and audits.
Scan API with Key Management: Server-side API keys and endpoints such as /v1/rag/scan make integration with existing support stacks straightforward.
Flexible Deployment: Use the hosted console or run the FastAPI + PostgreSQL service in your own infrastructure, with VPC, self-hosted and air-gapped options for Enterprise.

Use Cases

Prompt Injection Defense: Blocking malicious instructions hidden in customer messages before an AI support agent acts on them.
RAG Poisoning Protection: Preventing tampered knowledge-base articles or ticket histories from overriding system prompts.
Agent Action Guardrails: Holding refunds, account changes or other tool calls for policy review when trust limits are exceeded.
Safe Production Rollout: Measuring real threat and false-positive rates in detect mode before enforcing on live traffic.
Security Audits: Exporting decision evidence to show auditors and security teams why each request was allowed or held.

Frequently asked questions about Koreshield

What is Koreshield?

Runtime trust layer that scans customer input, retrieved context and proposed tool calls in AI support workflows before they become trusted instructions.

How does Koreshield work?

Koreshield works by combining Customer Input Scanning: Inspects messages, attachments and externally controlled text before model execution so injected instructions never reach the model as trusted input., Retrieved Context Screening: Keeps poisoned tickets, CRM notes and RAG documents from inheriting system-level authority inside the prompt., Proposed Action Evaluation: Checks tool calls against trust, approval and authorization limits before they are executed., Detect and Enforce Modes: Run in detect mode to record threats without interrupting traffic, then enable enforcement only where fallback behavior is ready., Decision Evidence Trail: Records severity, decision and reason for every request, retained for 7 or 30 days depending on plan, for review and audits. to help users with Prompt Injection Defense: Blocking malicious instructions hidden in customer messages before an AI support agent acts on them., RAG Poisoning Protection: Preventing tampered knowledge-base articles or ticket histories from overriding system prompts., Agent Action Guardrails: Holding refunds, account changes or other tool calls for policy review when trust limits are exceeded., Safe Production Rollout: Measuring real threat and false-positive rates in detect mode before enforcing on live traffic., Security Audits: Exporting decision evidence to show auditors and security teams why each request was allowed or held..

What are the main features of Koreshield?

Key features include Customer Input Scanning: Inspects messages, attachments and externally controlled text before model execution so injected instructions never reach the model as trusted input., Retrieved Context Screening: Keeps poisoned tickets, CRM notes and RAG documents from inheriting system-level authority inside the prompt., Proposed Action Evaluation: Checks tool calls against trust, approval and authorization limits before they are executed., Detect and Enforce Modes: Run in detect mode to record threats without interrupting traffic, then enable enforcement only where fallback behavior is ready., Decision Evidence Trail: Records severity, decision and reason for every request, retained for 7 or 30 days depending on plan, for review and audits..

Who is Koreshield for?

Koreshield is useful for anyone interested in Prompt Injection Defense: Blocking malicious instructions hidden in customer messages before an AI support agent acts on them., RAG Poisoning Protection: Preventing tampered knowledge-base articles or ticket histories from overriding system prompts., Agent Action Guardrails: Holding refunds, account changes or other tool calls for policy review when trust limits are exceeded., Safe Production Rollout: Measuring real threat and false-positive rates in detect mode before enforcing on live traffic., Security Audits: Exporting decision evidence to show auditors and security teams why each request was allowed or held..

How much does Koreshield cost?

Koreshield is a paid product. Check the official site for current pricing.

How do I get started with Koreshield?

Visit https://koreshield.ai/ to sign up and explore Koreshield.

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