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Koreshield
Runtime security service that inspects AI support workflows for untrusted content and actions
£20/moStarting price
About Koreshield
Koreshield provides runtime security controls for AI-powered support workflows by inspecting customer inputs, retrieved context, and proposed actions before model execution. It evaluates trust boundaries at three points—input messages, RAG documents, and tool calls—and records the rationale for each decision. The service operates in detect mode by default, logging threats without interrupting traffic, allowing teams to review evidence and false positives before enabling enforcement mode. Once validated, enforcement mode blocks requests that violate policy while maintaining detailed logs of decisions and severity levels. Integration involves running a FastAPI security service with PostgreSQL alongside existing support infrastructure, with decisions accessible via a hosted console or custom deployment. The tool is designed to prevent untrusted customer content from becoming trusted instructions within AI workflows.
Key features
- Inspects customer input messages and attachments
- Scans retrieved context from RAG documents and CRM notes
- Evaluates proposed tool calls against policy limits
- Operates in detect mode for threat logging without blocking
- Supports enforcement mode for policy violations
- Provides API key management and access control
- Retains decision evidence for review and audit
- Offers policy validation and alerting workflows
Use cases
- Securing AI support workflows handling customer tickets
- Protecting RAG-based systems from poisoned documents
- Enforcing approval limits on tool calls in production
Pros
- Evaluates three distinct trust boundaries independently
- Records detailed evidence for every security decision
- Supports both detect and enforce modes for gradual rollout
- Provides 7- or 30-day decision-evidence retention windows
- Offers API key management and policy review workflows
Cons
- Does not replace existing authorization systems
- Limited to text-based content inspection currently
- No support for high-risk autonomous agents
- Enterprise plan required for advanced compliance features
Frequently asked questions about Koreshield
What does Koreshield do?
Koreshield provides runtime security controls for AI-powered support workflows by inspecting customer inputs, retrieved context, and proposed actions before model execution. It evaluates trust boundaries at three points—input messages, RAG documents, and tool calls—and records the rationale for each decision.
Who is Koreshield designed for?
Koreshield is designed for teams operating AI support workflows, particularly those transitioning from internal testing to production environments. It suits organizations that need to prevent untrusted customer content from becoming trusted instructions within their AI systems.
How does Koreshield integrate with existing systems?
Integration involves running a FastAPI security service with PostgreSQL alongside existing support infrastructure. Decisions can be accessed via a hosted console or custom deployment, allowing teams to review evidence and false positives before enabling enforcement mode.
What are the deployment options for Koreshield?
Koreshield offers hosted plans and a custom Enterprise path. Hosted options include Starter and Growth tiers, while the Enterprise plan supports regulated, high-volume, or privately deployed workflows with custom topologies like VPC, self-hosted, or air-gapped deployments.
Does Koreshield replace existing authorization systems?
No, Koreshield does not replace authorization systems. It focuses on security boundaries within AI support workflows, evaluating trust levels and preventing untrusted content from becoming trusted instructions without assuming full attack coverage.
How does Koreshield handle false positives?
Koreshield begins with detect mode, which logs threats without interrupting traffic, allowing teams to review evidence and false positives before enabling enforcement mode. This ensures decisions are validated against actual workflow behavior.
