Koreshield vs ZergRouter: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Koreshield and ZergRouter — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Koreshield
Koreshield Labs Ltd.
Runtime trust layer that scans customer input, retrieved context and proposed tool calls in AI support workflows before they become trusted instructions.
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.
Best for
- 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.
ZergRouter
Zerg AI
Model router that lets you run DeepSeek in Codex and other coding tools via one endpoint, with API key budgets and Codex quota tracking.
Key features
- Single Router Endpoint: One OpenAI-compatible endpoint (/v1) that connects Codex, OpenCode, Pi and other compatible apps to your chosen models.
- DeepSeek in Codex: Run DeepSeek 4.1 Flash inside Codex through native Responses API forwarding.
- API Key Budgets: Scoped Router keys with daily budgets and monthly usage caps to control spend.
- Fallback Chains: Configure explicit fallback routes for supported chat requests.
- Codex Quota Monitoring: Compare connected Codex accounts by remaining weekly quota, reset dates and banked resets, with stale data flagged.
- Usage Analytics: Explore routed usage by model, date and client, including input, cached input and output tokens.
- Bring Your Own Keys: Use your own provider credentials, billed directly by the provider.
Best for
- Cheaper Coding Agents: Swapping Codex's default model for low-cost DeepSeek for routine coding tasks.
- Team Spend Control: Issuing budgeted Router keys to developers to cap daily API costs.
- Multi-Account Codex Management: Choosing which Codex subscription to use based on remaining quota and reset times.
- Provider Failover: Keeping coding tools working by routing to fallback models when a provider is unavailable.
- Usage Auditing: Tracking which clients and models consume tokens over time.