100%
Decision auditability
94%
Cross-shift consistency
Full
Regulatory traceability
Auditors ask why alerts were closed, but rationale isn't captured.
Different shifts make different calls on similar alerts.
Auto-close without explainability creates audit risk.
AI tools make opaque recommendations without human grounding.
Every decision includes confidence, evidence, similar cases, and analyst feedback. Nothing is black-boxed.
Analysts approve or deny model suggestions. Auto-close only activates where your confidence thresholds are met.
Monitor decision patterns across analysts and shifts. Outliers get flagged for review and coaching.
Export decision logs to SIEM, ITSM, or compliance tools. Pre-formatted for SOC 2, ISO 27001, and internal audits.
Most AI tools in security are black boxes. They recommend actions without showing why. That's a governance risk - you can't audit what you can't explain.
Arcanna Decision Models are different. Every decision comes with a confidence score, the nearest similar alerts from history, and the outcomes of those prior cases. Analysts see exactly why a decision was made, and can override it if needed.
100%
of decisions
Every auto-close and escalation logged with rationale
94%
consistency index
Percentage of similar alerts resolved with the same outcome across analysts and shifts
Full
traceability
SOC 2, ISO 27001, GDPR-compatible exports
Real-time
visibility
Threshold changes, model versions, analyst feedback