Governing Anomaly Risk in Safety-Critical Infrastructure
Real-Time Risk & Anomaly Detection
A Contextual, Physics-Informed Risk Layer for SCADA-Driven Networks
Most anomaly detection systems fail silently as operations change.
When baselines drift, abnormal behaviour becomes normal, and real risk goes undetected.
KartaSoft prevents this by actively governing anomaly baselines, ensuring risk signals remain stable, interpretable, and decision-safe over time.
We add context, causation, and asset-level consequence to real-time SCADA outputs, without replacing existing alarms.
Independently Validated
Used by Fortune 500 Companies
Supports Regulatory and Audit Review
Physics-Informed Methodology
The hardest part of anomaly detection is not finding anomalies. It’s keeping the definition of normal from breaking.
Pipeline and network operations are non-stationary by nature. Maintenance, upgrades, instrumentation changes, and operational decisions constantly alter system behaviour.
Most anomaly detection systems allow models to learn continuously. Over time, this causes baseline drift, quietly redefining “normal” until abnormal behaviour is absorbed and real risk goes undetected.
KartaSoft Operational Philosophy:
Baseline Governance as a First-Class Risk Control
Baseline modeling comes first. Failure optimization comes later.
Rather than training directly on rare, noisy failure data, KartaSoft first establishes clean, stable baselines for each operating regime.
Only after those baselines are governed and validated do we tune sensitivity and prioritization using integrity outcomes.
This approach:
Preserves broad sensitivity to unexpected behaviour
Avoids brittle failure-only classifiers
Maintains interpretability under changing conditions
It keeps anomaly detection useful over years, not just during initial deployment.
A Defensible Model for Anomaly-Driven Risk
KartaSoft Risk & Anomaly Detection produces context-aware anomaly signals designed for engineering review and triage, complementing existing SCADA alarms.
Contextual Real-Time Risk Layer
KartaSoft ingests SCADA outputs and correlates them with:
- Historical leak data
- Survey and AMLD cadence
- Excavation activity (reported and unreported)
- Asset attributes (location, density, recurrence, history)
This creates asset-aware anomaly interpretation, not just signal detection.
Example Result
Hotspot & Critical Hotspot Classification
We deliver a network-wide hotspot framework that classifies locations into:
- Watch Areas
- Hotspots
- Critical Hotspots
Based on:
- Leak frequency and recency
- Time-based thresholds (6-month / 12-month cadence)
- Spatial clustering
- Severity escalation logic
This is delivered as:
Early Warning Before SCADA Alarms
By combining:
- Excavation intelligence (including non-ticketed activity)
- Leak recurrence patterns
- Physics-informed baselines
We can identify risk precursors that may take days or weeks to trigger a SCADA alarm.
This addresses a known SCADA gap:
Designed for In-Environment Deployment
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Business Impact
KartaSoft extends the value of existing SCADA investments, making them actionable by governing risk context, causation, and prioritization in real time.
Review baseline governance in your operating context
Confidential, non-binding discussion focused on risk diligence