Fabraix Red Team Playground
Free · Open source
AI security researchers
Your AI support agent passes testing clean — then a customer pastes a poisoned ticket comment, and your model treats it as a trusted instruction. Koreshield sits at each trust boundary in that workflow and stops the handoff before the damage lands.
Koreshield evaluates three specific points where trust can fail in an AI support workflow: the customer's raw input, the content retrieved from your RAG store or CRM, and the tool calls your model proposes before they execute. Each decision is recorded with a reason, so when a threat is detected you have evidence, not just an alert. You start in detect mode — traffic flows uninterrupted while the tool builds a picture of what your workflow actually looks like — then you flip to enforcement once you understand the fallback path. The vendor is explicit about what it does not do: it does not replace your authorization system, does not inspect arbitrary files or images, and does not claim complete attack coverage. Teams operating under audit or compliance requirements get the evidence export they need; teams expecting a silver bullet will need to pair this with other controls.
Bottom line: Pick this for the move from AI support testing to regulated production, where every blocked request needs a logged reason — but if your threat surface includes file uploads or image attachments, you will need a separate scanning layer today.
250,000 protected requests/month. Input, context, and action scans. 7-day evidence window.
2 million protected requests/month. Advanced screening. 30-day evidence window.
Custom volume and deployment. SSO/SAML, SIEM export, custom retention.
View full pricing on koreshield.ai →
Pricing may have changed since last verified. Check the official site for current plans.
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More options in Guardrails & Safety. Compare pricing, platforms, and features side by side.
Free · Open source
AI security researchers
Freemium
Legal professionals handling confidential cases
The problem Koreshield is built around is prompt injection through trusted context: a poisoned CRM note, a malicious ticket attachment, or a retrieval result that inherits system-level authority it was never meant to have. The tool scans three boundaries independently — the raw customer message, the retrieved context passed to the model, and the tool calls the model proposes — and records a structured decision for each. The integration is API-first: you create a server-side scan key, point your workflow at the FastAPI security service backed by PostgreSQL, and begin receiving decisions before you block anything.
The defining architectural choice is detect-before-enforce. The vendor describes a staged rollout: observe live traffic without interrupting it, review the evidence log for misses and false positives, and only enable enforcement once you understand what the fallback behavior looks like when a request is stopped. This makes the evaluation period auditable rather than speculative — you can show stakeholders exactly what the tool caught and what it missed against real production traffic before any policy takes effect.
Koreshield fits teams moving AI support workflows from internal testing into environments where a bad decision has compliance or customer-facing consequences. The docs describe it as a complement to existing authorization systems, not a replacement — a distinction that matters for regulated workflows where access control and threat detection need to stay separate. The ceiling appears when your inputs include files or images: the vendor states the tool does not inspect arbitrary files or images at this stage, which means teams with those vectors need a parallel scanning solution or must exclude those input types from coverage.
Deployment runs as a FastAPI service with PostgreSQL, connected to from a hosted console or your own support infrastructure. The API is available for server-side integration, and the scan key model keeps security decisions server-side rather than inside client code. Teams evaluating the tool start with a no-card evaluation period before any enforcement decisions are made.
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