Risk Intelligence. Not Risk Theatre.
From static registers to dynamic, quantified risk management
Risk managers at EU-regulated entities need more than a risk register — they need quantified risk intelligence that feeds board decisions. FortisEU combines traditional risk registers with Monte Carlo simulation (Fortis Arena), predictive analytics (WATCH), and automated risk scoring from live vulnerability, incident, and vendor data.
The challenges you face
Static Risk Registers
Risk registers updated quarterly, disconnected from live operational data. By the time the register is reviewed, the threat landscape has changed. Static registers create a false sense of security.
Risk Quantification Pressure
The board wants financial impact numbers, not traffic-light heatmaps. NIS2 Art. 20 and DORA Art. 5 expect management bodies to understand cyber risk in business terms. 'High/medium/low' is no longer sufficient.
Scenario Planning Without Tooling
What-if analysis for ransomware, supply chain compromise, or regulatory enforcement requires simulation capabilities. Spreadsheet-based scenario planning lacks statistical rigour and cannot model complex interdependencies.
Multi-Domain Risk Aggregation
Cyber risk, vendor risk, and compliance risk exist in silos. A holistic risk view requires aggregating signals from vulnerability scanners, incident data, vendor assessments, and compliance gap analysis into a unified risk model.
How FortisEU helps
Risk Management
Dynamic risk register fed by live data from vulnerability scanners, incident management, vendor assessments, and compliance gap analysis. Risk scores update automatically as new signals arrive, not just during quarterly reviews.
ExploreFortis Arena
Monte Carlo simulation engine for cyber risk quantification. Define threat scenarios, configure impact parameters, and run thousands of simulations to produce probability distributions and Annual Loss Expectancy in euros.
ExploreWATCH
Predictive risk intelligence using machine learning. WATCH analyses vulnerability trends, vendor risk trajectories, and incident patterns to predict which risks are most likely to materialise in the next 30-90 days.
ExploreVendor Risk Management
Third-party risk scoring with concentration analysis. View vendor risk across your supply chain, identify single points of failure, and model cascading risk scenarios when a critical vendor is compromised.
ExploreVulnerability Management
Vulnerability findings aggregated from scanners and cloud security tools, automatically prioritised by exploitability, asset criticality, and compliance impact. Feed directly into risk scoring models.
ExploreExecutive Dashboards
Risk-focused executive views: heat maps, trend lines, concentration analysis, and scenario comparison charts. Board-ready risk reports with financial quantification and treatment plan status.
ExploreA day with FortisEU
Risk dashboard review — 2 risk scores changed overnight due to new vulnerability disclosures
Risk ManagementWATCH prediction review — 2 new high-probability risks flagged: exposed RDP service and unpatched Exchange
WATCHArena scenario simulation — ransomware impact on financial services, 95th percentile loss at 2.1M euros
Fortis ArenaVendor risk concentration analysis — 3 critical services share a single cloud provider dependency
Vendor Risk ManagementBoard risk report preparation — one-click export with financial quantification and treatment plan progress
Executive DashboardsRisk treatment plan review — 4 treatment actions due this month, 2 on track, 2 requiring escalation
Risk ManagementFrameworks you work with
“Fortis Arena's Monte Carlo simulation gave our board the financial risk numbers they'd been asking for. We went from 'high/medium/low' to '2.3M euros estimated annual loss expectancy' in one quarter.”
— Head of Risk, German Energy Provider
Common questions
How does risk quantification work?
FortisEU's Fortis Arena uses Monte Carlo simulation to quantify cyber risk in financial terms. You define threat scenarios (ransomware, data breach, supply chain compromise) with impact parameters drawn from your asset inventory and control effectiveness data. The engine runs 10,000+ simulations to produce probability distributions, calculating Annual Loss Expectancy (ALE), Value at Risk (VaR), and conditional tail expectations. Results are presented in euros with confidence intervals.
What is Fortis Arena?
Fortis Arena is FortisEU's Monte Carlo risk simulation engine. It models cyber risk scenarios using configurable threat parameters, asset valuations, control effectiveness ratings, and historical incident data. Each simulation run generates thousands of iterations to produce statistically robust financial impact estimates. Arena supports scenario comparison (e.g., current state vs. post-investment), what-if analysis for control changes, and board-ready output with probability distributions and loss exceedance curves.
How does WATCH predict risks?
WATCH analyses patterns across vulnerability data, vendor risk trajectories, incident frequencies, and threat intelligence feeds to identify risks most likely to materialise. Machine learning models look for leading indicators: increasing vulnerability density on critical assets, vendor risk score deterioration, or threat actor activity targeting your sector. WATCH surfaces predictions as prioritised alerts with confidence scores and recommended preventive actions, typically 30-90 days before potential impact.
Can I customise the risk matrix?
Yes. FortisEU's risk matrix supports configurable dimensions (likelihood and impact scales), custom scoring formulas, and organisation-specific risk appetite thresholds. You can define risk categories (cyber, vendor, compliance, operational), set acceptance criteria per category, and configure escalation rules when risks exceed thresholds. The matrix can be aligned to your existing risk management framework (ISO 31000, COSO ERM, or FAIR methodology).
How does automated risk scoring work?
Risk scores are calculated continuously from live data feeds. Vulnerability findings from scanners increase the likelihood component. Incident history informs impact estimates. Vendor risk assessments contribute to supply chain risk scores. Compliance gap data reveals control deficiencies. These signals are aggregated using a configurable scoring model that weights each input source. The result is a dynamic risk score that reflects current operational reality, not a static quarterly assessment.
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See FortisEU for Risk Managers
Create an account and explore the platform, or talk to our team about enterprise deployment.