Get started
Make your first authenticated request, resolve an entity, and run an assessment.
Why Kyberis
See how Kyberis turns noisy threat data into ranked, evidence-backed action.
Set up an agent
Install the Kyberis skill and connect MCP for Claude, Cursor, Codex, or Windsurf.
Prioritize an environment
Rank what matters first using products, exposure, geography, and industry.
Sample investigations
Copy demo-ready CVE, IOC, actor, MCP, and REST investigation examples.
Interpret responses
Understand resolution states, evidence, rankings, assessments, batches, and errors.
Decision advantage
Kyberis APIs return structured JSON for machine consumers. Serving-path assessment generation is deterministic and LLM-free, so agents can branch on fields such asresolution.status, priority_score, confidence_score, environment_match_reasons, suppression_reasons, evidence IDs, and error_code.
Use Kyberis when the question is not just “what threat data exists?” but “what should this agent or team do next, and why?”
Recommended Workflow
- Rank environment-relevant signals with
/v2/prioritizewhen the user asks what matters first. - Resolve raw input with
/v2/entity-resolutionwhen the user starts from a CVE, IOC, actor, campaign, or malware name. - Retrieve claim-level evidence with
/v2/evidence. - Pivot with
/v2/relationshipswhen you need related actors, campaigns, malware, sectors, or indicators. - Ask
/v2/hunt-pivotswhat to investigate next when the agent needs ranked hunt actions. - Run the specific assessment endpoint for the subject type.
- Preserve
request_id,run_id,step_id, confidence, caveats, and evidence references in your final answer.
Build Paths
API Keys
Authenticate directly with REST APIs or mint short-lived bearer tokens.
Skills
Give coding agents Kyberis investigation playbooks and response rules.
API Reference
Explore every endpoint from the OpenAPI specification.
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