Actionable Control Gaps, Not Generic Alerts

Findings link each control failure to decision context, root-cause analysis, remediation patterns, and retest steps—closing the loop between discovery and closure.

Finding Anatomy

Every finding specifies:

Severity & Scope

CVSS-like scoring: exploitability (does the attack reliably succeed?), impact (signal availability gap, rule bypass, model blind spot, approval override?), business consequence (fraud category, financial exposure, regulatory violation risk).

Decision Point & Scenario Genealogy

Where in the decision tree the failure occurred; which scenarios triggered it; how many scenarios share the root cause (identifying systemic vs. isolated gaps).

Root Cause Classification

  • Signal gap: Required telemetry unavailable, stale, or corrupted (e.g., "KYC verification status missing for 8% of onboarding scenarios")
  • Detector gap: Rule/model absent or misconfigured (e.g., "Device fingerprint inconsistency check not triggered for mule-ring scenario family")
  • Threshold weakness: Boundary too permissive (e.g., "Velocity threshold allows excessive transactions per minute; scenario passes when historical median indicates anomaly")
  • Approval bypass: Gate missing or overrideable without escalation (e.g., "High-risk transactions skip supervisor review when approver is unavailable beyond SLA window")

Patch Pattern Guidance

Concrete remediation examples: "Add freshness check on Device ID (within acceptable time window); validate against historical baseline. Retest using targeted scenario pack."

Retest Validation Steps

Specific pack, version, and scenario subset that isolates the fix; expected outcome if successful; pass/fail criteria.

Patch Pattern Library

Signal Enrichment

New telemetry sources, provenance tracking, integrity verification, cross-correlation with external feeds (device databases, behavioral baselines, graph databases).

Detector Hardening

Rule additions (consistency checks, velocity limits, outlier detection); model fine-tuning with adversarial examples; graph expansion (relationship mapping, circular flow detection, collusion clustering).

Contract Enforcement

Mandatory check sequencing, gate routing based on risk tier, approval escalation logic, policy constraint injection into agent tools or decision engines.

Rate & Velocity Controls

Time-window enforcement (sliding windows, exponential backoff), behavioral adaptation (seasonal adjustment, entity-specific baselines), step-up orchestration (hard blocks vs. soft challenges vs. monitoring).

Approval & Policy Gates

Supervisor routing rules, escalation on override frequency, policy language codification (e.g., "transactions >$10k + high-risk score require dual approval"), agent policy constraints (tool permission lists, action guardrails, latency SLAs).

Operational Workflow

1
Triage → Assign severity, scope, and blast radius
2
Assign → Route to responsible team (fraud ops, ML ops, platform engineering)
3
Patch → Implement remediation per suggested pattern
4
Retest → Execute targeted pack subset against fixed configuration
5
Close → Document remediation evidence in finding record
6
Regression Watch → Monitor alerts if similar gaps re-emerge

Everything ties back to immutable evidence artifacts and pack versions.

Ready to validate resilience on your workflows?