Koreshield
An AI agent security tool for developers that intercepts and screens inputs to customer-service agents before execution. It covers four risk categories: data leakage, prompt injection, policy drift, and unsafe operations, and provides decision audit trails and compliance reporting capabilities.
Timeline (last 90 days)
Koreshield is a security tool for developers that intercepts and screens inputs to AI customer service agents before they become trusted model behaviors or application executions.
Koreshield primarily covers three types of input sources: customer messages, retrieved documents, and tool calls.
Koreshield checks for data leakage, hidden instructions in help documents (prompt injection), policy drift, and unsafe agent operations before the model takes action.
Koreshield logs every decision for retrospective review and compliance auditing.
Koreshield's key selling point is one call to integrate.
Koreshield is categorized under three classifications: Developer Tools, Artificial Intelligence, and Security.
External inputs should not be trusted by default; instead, auditable screening checkpoints should be established before they can influence model behavior.
All Facts (7)
Koreshield is a security tool for developers that intercepts and screens inputs to AI customer service agents before they become trusted model behaviors or application executions.
50%UnverifiedKoreshield primarily covers three types of input sources: customer messages, retrieved documents, and tool calls.
50%UnverifiedKoreshield checks for data leakage, hidden instructions in help documents (prompt injection), policy drift, and unsafe agent operations before the model takes action.
50%UnverifiedKoreshield logs every decision for retrospective review and compliance auditing.
50%UnverifiedKoreshield's key selling point is one call to integrate.
50%UnverifiedKoreshield is categorized under three classifications: Developer Tools, Artificial Intelligence, and Security.
50%UnverifiedExternal inputs should not be trusted by default; instead, auditable screening checkpoints should be established before they can influence model behavior.
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