Koreshield
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Runtime trust control

Koreshield

Stop untrusted customer content from becoming trusted instructions inside your AI workflow.

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No model replacement Detect before enforce Evidence retained
Koreshield console showing detected input, context, and action threats
InputThreat detected
ActionHeld for policy
The gap between a model & a business action

Your model provider protects the model. Koreshield protects the business decision around it.

Safety tooling cannot automatically know a customer’s identity, your approval limits, or whether an agent should change an order or account.

01

Model provider

Runs the model and its provider-native safety controls.

Koreshield

Checks customer input, retrieved context, and proposed actions before the workflow trusts or executes them.

Your application

Remains responsible for identity, authorization, approval rules, tenant isolation, and execution.

Trust handoffs

One request. Three places trust can fail.

Koreshield evaluates each boundary independently and records the reason for every decision.

[ REQ_001 ]OBSERVING
01

Customer input

Inspect messages, attachments, and externally controlled text before model execution.

02

Retrieved context

Keep poisoned tickets, CRM notes, and RAG documents from inheriting system authority.

03

Proposed actions

Evaluate tool calls against trust, approval, and authorization limits before execution.

Rollout posture

Observe first. Enforce with evidence.

Begin with live traffic in detect mode. Review expected behavior and false positives, then enable enforcement when the fallback path is ready.

  • Detect mode records threats without interrupting traffic.
  • Validation checks benign and adversarial support cases.
  • Enforce mode stops requests that violate policy.
Request trace 200 OK
POST /v1/rag/scanX-API-Key: ks_live_••••••••{"source": "ticket_comment","trust_level": "untrusted"}→ decision: detected→ severity: critical→ mode: detect
Evidence first

Start with evidence, not promises.

Koreshield should prove itself against your support workflow before any request is blocked.

Integration path

  1. Create a server-side scan key
  2. Run detect mode beside live traffic
  3. Review evidence, misses, and false positives
  4. Enforce only where fallback behavior is understood

Current limits

  • Does not replace your authorization system
  • Does not promise complete attack coverage
  • Does not inspect arbitrary files or images today
  • Does not make high-risk agents autonomous
Deployment boundary

Keep the security decision close to the workflow.

Run the FastAPI security service with PostgreSQL and connect from the hosted console or your own support infrastructure.

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Built for the workflow you actually run

Start with the support agent closest to a consequential action.

See how the same runtime checkpoints apply when an agent can change an order, access a private workspace, or touch sensitive financial information.