MNC Solutions
MNC ALERT INTELLIGENCE

Entity-centric, not alert-centric.

Every surveillance tool generates alerts. MNC turns them into a defensible, explainable picture of who deserves review, why, and what was done about it — every number traces to source records.

Surveillance intelligence built around how you trade.

Nine profiles. Eighteen trading signatures.
One configurable intelligence framework.

MNC Alert Intelligence combines predefined business profiles, governed trading signatures, a library of 49 alert models, and model-specific sensitivity parameters to deliver surveillance intelligence that reflects how your organization actually trades.

See it in action →
Smarter Baselines.
Better Calibration.
Stronger Outcomes.
Start with intelligence.
Calibrate for your business.
Entity-Centric
Configurable
Risk-Aware
Explainable
Defensible
Actionable
THE MNC CONFIGURATION MODEL

From profiles to precision.

MNC Alert Intelligence starts with a deep understanding of who you are, how you trade, and where you operate — a governed baseline you can calibrate to match your organization, down to the market, security, account, and trader level.

9
CUSTOMER / INVESTOR PROFILES
Nine major types of institutions and market participants
18
TRADING SIGNATURES
Two characteristic signatures for each profile
ALERT
PACKAGE
A baseline per asset class + trading signature
49
ALERT MODELS
Governed library organized into six surveillance risk groups
MODEL-SPECIFIC SENSITIVITY PARAMETERS
Weights · thresholds · sensitivity
CUSTOMER CALIBRATION
Configure and refine to reflect your risk appetite and business
18 trading signatures across high-touch and low-touch families
49 alert models across 6 governed risk groups
51 market scopes across US equities, OTC, options, and futures
3 tiers of customer-configurable entity hierarchy
INVESTOR & ENTITY PROFILES

A defined profile for every investor in the industry.

MNC adapts to your operating model rather than forcing a predefined hierarchy. Each investor profile carries dedicated trading signatures — completely unique parameters, thresholds, and alert models — and a recommended three-tier structure from the firm level down to attribution. Select a profile:

TRADING SIGNATURE A
{{ profSigA }}
TRADING SIGNATURE B
{{ profSigB }}
Unique parameters Unique thresholds Unique alert models
RECOMMENDED TIER 1
Structure level
{{ t }}
RECOMMENDED TIER 2
Primary monitored level
{{ t }}
RECOMMENDED TIER 3
Attribution level
{{ t }}

Tier structures are recommendations — the hierarchy is customer-configurable and never forced into a predefined shape.

Organizations define the entities. MNC identifies the patterns.
THE RISK INTELLIGENCE ENGINE

The entity risk score is composed of four pillars.

Each pillar contributes to the overall score based on its impact to the entity’s risk profile. Together they provide a comprehensive, balanced, and explainable view of risk.

1ALERT-DRIVEN RISK

Evaluates the severity and significance of current and historical surveillance alerts for the entity.

Alert severity
Alert frequency
Alert concentration
Escalation indicators
Market & context
50%OF TOTAL SCORE
2BEHAVIORAL PATTERNS & RECURRENCE

Measures repeating behaviors and activity patterns that may indicate elevated risk.

Pattern detection
Recurrence
Persistence
Concentration
Behavior deviations
30%OF TOTAL SCORE
3RELATED ENTITY / CORRELATION RISK

Assesses risk based on connections and correlated activity with related entities, markets, and instruments.

Related entity exposure
Shared instruments
Cross-market activity
Common control links
Network centrality
15%OF TOTAL SCORE
4WORKFLOW / STATUS TREND RISK

Considers the entity’s review history, workflow status, and trend of case outcomes over time.

Open case count
Aging & duration
Escalation trend
Disposition trend
Review outcomes
5%OF TOTAL SCORE
HOW IT WORKS
1 · INGEST & NORMALIZE
Collects alerts and context from multiple sources and normalizes the data.
2 · ANALYZE & MEASURE
Applies model logic to measure each risk dimension using calibrated parameters.
3 · WEIGHT & COMBINE
Combines the four pillar scores using configured weights to produce the entity risk score.
4 · EXPLAIN & PRIORITIZE
Provides explainable drivers so analysts can prioritize and act with confidence.
THE RESULT — ENTITY RISK SCORE
82
HIGH RISK
Critical ≥85High ≥70Elevated ≥50Watch ≥25Baseline <25
Composite of the four pillars, scored 0–100. Illustrative synthetic example.
WHY IT MATTERS
Unified view of risk across dimensionsEarlier identification of emerging riskSmarter prioritization of investigationsGreater efficiency and better outcomesDefensible, explainable decision-making
ADAPTIVE STATISTICAL SCORING

How the adaptive scoring model works.

No rigid gates — continuous, auditable scores calibrated population-relative. Adaptive statistical scoring, not machine learning; ML is future phase and would replace the scoring function without changing the experience.

1
DATA INGESTION
Collects alerts, trades, market data, entity attributes, and historical outcomes.
2
BEHAVIOR BASELINING
Establishes a dynamic baseline of expected behavior for each entity and context.
3
STATISTICAL ANALYSIS
Applies advanced statistical techniques to detect anomalies and emerging risk.
4
ADAPTIVE WEIGHTING
Continuously adjusts the impact of each risk driver based on predictive value.
5
RISK SCORE CALCULATION
Generates a composite risk score (0–100) reflecting current risk and context.
6
LEARN & OPTIMIZE
Outcomes and analyst actions feed back to improve the model over time.
The model adapts continuously — so scores remain relevant as markets, strategies, and risk evolve.
THE JOURNEY

One investigative path, start to finish.

EXECUTIVE LENS
1

Executive Lens Overview

Widen to the enterprise risk picture.

2

Entity Profile

Learn the entity behind the alerts.

3

Pattern Detection

Recurrence and timing over rolling windows.

4

Relationship Intelligence

The network and exposure around the entity.

5

Risk Intelligence Engine

Brings it ALL together — one explainable, weighted score.

6

Executive Lens Handoff

A package with all evidence, prepared for additional review and escalation.

COMMAND CENTER
7

Summarize

The prioritized review queue — assignment, workload, and SLAs.

8

Analysis

Deep-dive evidence validation, notes, decision and rationale.

9

ACTION

Close, escalate, assign, and report — defensible outcomes with a complete audit trail.

EXPLAINABILITY IS THE PRODUCT

Every output is a count, a window, and a scope — with source-row lineage.

When the regulator asks "why did you — or didn't you — act?", the audit trail is the answer. The system documents restraint as rigorously as escalation. Statistical layers such as ML models and graph engines are future phase; the architecture anticipates them without rewrites.

"This entity is prioritized for review because…"
"The score is driven by…"
"Confidence is lower here because…"
"This is a risk indicator, not a finding."
The narration the system supports — every sentence backed by evidence on screen.

Walk the full lifecycle with us.

From enterprise view to audit trail in fifteen minutes — on realistic, labeled synthetic data.

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