AI-powered attack path prediction and automated containment. GuardiaGraph maps probabilistic adversary pivot paths to your Crown Jewels and recommends the highest-impact defensive actions — before a breach occurs.
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Traditional vulnerability management treats every CVE equally. Adversaries think in attack paths — chaining identities, misconfigurations, and lateral movement to reach your most critical assets.
SOC teams drown in thousands of alerts daily. Over 80% are false positives or low-impact noise, while the critical pivot chains go unnoticed.
Vulnerability scanners report isolated CVEs without showing how an adversary chains them across identity, network, and endpoint layers to reach Crown Jewels.
Organizations ingest everything into their SIEM “just in case,” paying millions in EPS costs for data that never contributes to breach detection.
From probabilistic graph construction to AI-driven containment — everything you need to shift from reactive to predictive security.
Neo4j-powered graph engine computes pivot probabilities using identity surfaces, vulnerability scores, network adjacency, and Crown Jewel proximity.
P_pivot = IDSurf^β · VulnSurf^γ · Adj · ProxXGBoost v1 and GraphSAGE GNN v2 models predict adversary pivot confidence with calibrated probabilities. SHAP explainability shows exactly why.
AUC-ROC > 0.95Identifies critical nodes where attack paths converge. Prioritize containment at choke points to neutralize maximum adversary routes.
Betweenness × Path Fraction × CJ ReachMulti-dimensional risk scores (0–100) combining node risk, choke score, local exposure, and proximity to Crown Jewels. Real-time delta alerts.
Real-Time Risk Delta via KafkaAuto-generates ranked containment actions across 4 domains. Exports to XSOAR, Splunk SOAR, and Microsoft Sentinel — one click to contain.
Score = ΔRisk × Criticality / CostCalculates ingestion value for every data source. Recommends keep, reduce, or remove — cutting SIEM costs by up to 68%.
ROI = ΔRisk / Ingestion CostPostgreSQL RLS, Neo4j namespace partitioning, Kafka topic prefixing, AES-256-GCM field encryption with per-tenant KMS. SOC 2 Type II ready.
Enterprise SecurityCrown Jewel Exposure Score, 30-day risk trends, top-5 risk endpoints, remediation impact summaries, and CASE savings in one executive view.
Real-Time + HistoricalWhat-if analysis: simulate patches, access revocations, network segments. See risk reduction before committing — compound multiple actions.
Clone → Modify → RecomputeFour stages transform your security telemetry into precise, prioritized containment actions.
Connectors pull assets, identities, vulnerabilities, network flows, and threat intel. Feature engineering computes IDSurf, VulnSurf, and adjacency scores.
Probabilistic graph construction in Neo4j. Multi-source Dijkstra finds optimal attack paths. Choke points and Crown Jewel exposure are quantified.
Composite risk scoring ranks every node 0–100. ML models predict pivot confidence. SHAP explanations provide full transparency.
SOAR playbooks auto-generate optimal containment. Alert rationalization cuts noise by 85%. CASE modeling identifies data sources to cut.
Real outcomes from production deployments across enterprise environments.
Cloud-native, Kubernetes-ready architecture with zero-trust security at every layer.
Schedule a 30-minute demo with our team. We will build your attack graph live and show you the paths adversaries would take — and how to stop them.