99.98% platform uptime|
12+ compliance frameworks|
<5 min to first insight
System Architecture
Five Computational Layers. Unified Intelligence.
Each layer performs deterministic processing before producing integrated, explainable risk output.
1
Exposure-Driven Likelihood Engine
Derives probability of compromise from real-time exposure conditions. Monitors state transitions across external attack surface, network, app misconfigurations, credential leakage, and third-party data, computing risk deltas on every change.
2
Attack Feasibility Modeling
Evaluates whether exposures can be exploited by scoring exploitability, active exploitation indicators, privilege escalation potential, lateral movement accessibility, and persistence mechanisms.
3
Business Impact Quantification
Translates technical exposures into business consequences: estimated financial loss, regulatory penalty exposure, operational disruption levels, and reputational damage, weighted by asset criticality and data sensitivity.
4
Dual-Layer Confidence Engine
Uniquely separates detection confidence (reliability of findings) from risk confidence (reliability of quantification). Classifies risk stability as transient, recurring, structural, or accepted conditions.
5
Constrained AI Explainability
AI operates under strict constraints: never generates numeric risk values, relies exclusively on structured input, and produces traceable reasoning artifacts, root-cause statements, remediation guidance, and audit-ready trails.
Process
Exposure In. Decision Intelligence Out.
Continuous ingestion, detection, computation, and explainable output, all in real time.
Ingest Multi-Domain Telemetry
External attack surface, network exposure, application misconfigurations, email auth posture, credential leakage, and third-party vendor data flow into the engine.
Detect Exposure State Transitions
Monitors for newly exposed services, remediated vulnerabilities, and control posture shifts, computing a risk delta on each state change.
Compute Risk Deterministically
Likelihood × Impact × Control Adjustment, continuously updated with attack feasibility weighting and dual-layer confidence scoring.
Generate Explainable Intelligence
Constrained AI produces root-cause statements, prioritization narratives, remediation guidance, and audit-ready reasoning trails for stakeholders.
Escalate & Act
Risk delta thresholds surface material changes on executive dashboards with vendor risk aggregation, ensuring decisions happen at the right time with full traceability.
Risk Calculation
Deterministic, Transparent Methodology
Every risk value is computed, never assumed, never subjective.
Advantages
Beyond Static Scores. Beyond Guesswork.
Real-Time Quantification
Risk updates continuously as exposure conditions change, no more quarterly snapshots.
Exposure-Driven
Likelihood from live data, eliminating subjective scenario workshops entirely.
Multi-Domain Telemetry
Unified ingestion across attack surface, network, app, identity, and vendor ecosystems.
Explainable AI
Constrained reasoning, every output is traceable, auditable, and stakeholder-ready.
Business Context
Technical findings mapped to financial loss, regulatory exposure, and operational disruption.
Third-Party Integrated
Vendor and supply-chain risk quantified into enterprise-wide intelligence.
Innovation
Key Novel Contributions
Patent-grade innovations that distinguish DRIM from all existing frameworks.
Exposure-Triggered Recalculation
Risk is recalculated on every exposure state transition, not on schedules or manual triggers. State changes in attack surface, controls, or threat intelligence automatically produce new risk intelligence.
Dual-Layer Confidence Modeling
Uniquely separates detection confidence from risk confidence, allowing stakeholders to understand not just the risk value, but the reliability of both the underlying data and the quantification itself.
Constrained AI Explainability
AI modules are bound by strict operational constraints: no numeric generation, exclusive reliance on structured inputs, and mandatory traceable reasoning artifacts, producing audit-ready intelligence, not black-box outputs.
Unified Multi-Domain Quantification
Internal exposures, third-party vendor risk, and supply-chain concentration risk are all quantified within a single deterministic framework, not siloed tools producing incompatible outputs.
Applications
Built for the Boardroom and the Security Team
Enterprise Cyber Risk Management
Continuous risk governance aligned with business priorities and operational reality.
Regulatory Compliance Reporting
Audit-ready output with traceable reasoning trails and full decision provenance.
Cyber Insurance Underwriting
Data-driven underwriting powered by real-time exposure intelligence, not annual questionnaires.
Board-Level Decision Frameworks
Explainable risk narratives enabling executive stakeholders to act with confidence.
FAQ