Predictive Risk Scoring
Score autonomous actions before execution using identity context, request intent, policy posture, environment sensitivity, and known risk factors.
RISK SCORING AND BLAST-RADIUS INTELLIGENCE
Score Autonomous-Agent Risk Before Execution
RiskDNA is the risk intelligence layer of the SecureTheCloud Sovereign Agent Control Plane. It evaluates runtime context, identity signals, action intent, blast-radius impact, and exposure patterns before autonomous actions become production risk.
PRODUCT ROLE
RiskDNA informs decisions without becoming the authority.
RiskDNA produces structured risk context for governed execution paths. It helps policy engines, reviewers, and runtime systems understand exposure before action — while deterministic policy remains the decision boundary.
RISK FLOW
From runtime context to decision support.
RiskDNA turns identity, intent, environment, and blast-radius signals into reviewable risk context that can inform policy evaluation and audit-ready evidence.
Step 1
Runtime Context
Step 2
Identity Signals
Step 3
Action Intent
Step 4
Blast Radius
Step 5
RiskDNA Score
Step 6
Policy Context
Step 7
Decision Support
CAPABILITIES
Built for predictive governance, not unchecked AI authority.
RiskDNA gives teams a way to reason about risk before execution while keeping runtime authorization explicit, deterministic, and policy-backed.
Blast-Radius Intelligence
Estimate downstream impact before an action is approved, denied, reviewed, or routed through a governed exception path.
Runtime Context Synthesis
Convert runtime signals into structured risk context that can inform policy evaluation without replacing deterministic authority.
Exposure Classification
Classify actions by operational sensitivity, tenant scope, system impact, trust boundary, and execution risk.
Evidence-Backed Scoring
Preserve the risk factors behind a score so reviewers can inspect how risk was derived and what signals contributed.
Offline Intelligence Path
Support future SageMaker-backed risk modeling and offline enrichment without granting ML direct runtime authority.
AUTHORITY BOUNDARY
Risk scoring is not policy override.
RiskDNA can score, enrich, classify, and explain risk context. It does not override OPA, authorize production actions, issue credentials, mutate infrastructure, or activate enforcement by itself.
USE CASES
Where RiskDNA matters.
RiskDNA is designed for teams that need predictive risk intelligence before autonomous systems execute sensitive actions.
High-risk transaction control
Score refunds, payments, approvals, and sensitive workflows before autonomous systems are allowed to act.
Cloud and infrastructure changes
Evaluate infrastructure actions by identity, target, blast radius, environment, and policy posture before execution.
Kubernetes workload governance
Inform cluster-level policy decisions with workload risk, namespace sensitivity, service-account posture, and impact context.
Cross-zone trust review
Support ASZ and SAFP workflows with risk context for signed assertions, trust registry matches, and federation readiness.
CONTROL-PLANE FIT
The risk intelligence layer of the Sovereign Agent Control Plane.
Aegis Runtime governs actions. Kubernetes Sentinel enforces cluster policy. Agent Blackbox preserves evidence. Agent Risk Exchange shares reviewable risk context. RiskDNA provides the scoring and blast-radius intelligence that informs the control path.
Score autonomous-agent risk before execution.
See how RiskDNA turns runtime context, identity signals, blast-radius analysis, and exposure patterns into policy-ready risk intelligence.