Security

An architecture designed to reduce decision risk

KOREV Evidence components are designed to strengthen traceability, control, and security across instrumented workflows — from execution guardrails to context isolation.

Access the security documentation See the API integration

Structured auditability

  • —Processing traceability: sources, models, rules applied
  • —Exportable processing documentation for internal and external audits
  • —Structured logging with a unique identifier for each decision

AI risk reduction

  • —Multi-model consensus validation for critical decisions
  • —Processing suspended when models diverge (fail-closed)
  • —Strict limits on unvalidated responses

Execution control

  • —Strict time and iteration limits per request
  • —Timeouts configurable by criticality level
  • —Prevention of unstable behavior and infinite loops

Context isolation

  • —Strict segmentation of user workspaces
  • —Partitioning designed to prevent data leakage between execution contexts
  • —Fine-grained management of access scopes

Application security

  • —Systematic input validation
  • —Verification and filtering of generated outputs
  • —Protection against injection attacks and a defensive-by-default approach

Regulatory compliance

GDPR

Personal data protection — European hosting, logging, access control

AI Act

Principles of explainability, traceability, and documentation (Art. 11, 12, 13)

Security best practices

Alignment with application and infrastructure security frameworks

Any certifications will be announced as they are obtained.

Security is a prerequisite, not an option

Let's discuss your security and compliance requirements to confirm that KOREV fits your environment.

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Further reading