Cyber Risk Analytics Platform: Quantify Risk in Business Terms
Spreadsheets record cyber risk weeks after the fact. StartComply continuously ingests threat data, maps exposures to assets and controls, and produces quantified, audit-ready risk intelligence for NIS2, DORA, and ISO 27001:2022.
Trusted by 100+ organisations across Europe
NIS2 
DORA 
ISO 27001:2022 
Risk analytics What you need to know about cyber risk analytics platforms
- A cyber risk analytics platform continuously quantifies and monitors cyber risk, replacing periodic snapshots with live, audit-ready intelligence.
- NIS2 Article 21 and DORA Articles 6, 8, 28, and 30 require cyber risk to be identified, documented, monitored, and evidenced.
- Incident reporting windows of 24 hours under NIS2 and 4 hours under DORA make real-time risk data an operational necessity.
- Effective platforms automate regulatory mapping, third-party risk scoring, evidence generation, and escalation across multiple EU frameworks.
- Deployment should deliver operational output within 30 days, not six to twelve months as with traditional enterprise GRC tools.
- Risk quantification in monetary terms helps leadership and auditors assess proportionality of controls.
- Centralising cyber risk analytics with the broader risk assessment programme eliminates evidence gaps auditors exploit.
Sources: NIS2 Directive, DORA Regulation. Last updated April 2026.
Cyber risk can no longer be assessed once a year.
Live, evidenced, article-level risk intelligence
- NIS2 Article 21: risk analysis, incident handling, supply chain security, and vulnerability handling
- DORA Article 6: a comprehensive ICT risk management framework with management oversight
- DORA Article 8: ICT risk must be continuously identified, classified, and documented
- DORA Articles 28 and 30: third-party ICT risk, contractual controls, and supplier evidence
- ISO 27001:2022 Clause 8.2 and Annex A controls: current risk assessments, threat intelligence, and ICT continuity
Penalty exposure: NIS2 essential entities face fines up to €10M or 2% of global annual turnover. DORA adds supervisory scrutiny, remediation orders, and management accountability. Sources: NIS2 Directive, DORA Regulation.
Risk scores in spreadsheets, evidence scattered across tools
- Risk scores updated quarterly or annually, not when exposures change
- No API-connected evidence trail from SIEM, EDR, cloud, identity, and vulnerability tools
- Dashboards with no article-level mapping to NIS2, DORA, or ISO 27001 controls
- Third-party cyber risk handled separately from internal operational risk
- Remediation tasks disconnected from risk appetite thresholds and owner accountability
- Board reports that show traffic-light scores but no monetary risk context
The audit reality: a risk dashboard is not proof. Regulators ask for files, dates, owners, control tests, treatment decisions, and follow-ups.
Everything a Cyber Risk Analytics Platform Needs
Continuous Risk Quantification
StartComply converts live security signals into quantified, prioritised risk intelligence that security, compliance, and leadership teams can act on.
- Live cyber risk scores updated as assets, vulnerabilities, and threats change
- Monetary and scored risk models for board-level reporting
- Risk views by asset, business unit, supplier, control, and framework
- Prioritised remediation queues based on exposure, impact, and regulatory relevance
Automated Regulatory Mapping
Every finding, control gap, and remediation task is mapped to the requirement it supports, including NIS2, DORA, and ISO 27001:2022.
- Article-level mapping for NIS2 Article 21 and DORA Articles 6, 8, 28, and 30
- ISO 27001:2022 Clause 8.2 and Annex A control alignment
- Shared evidence across overlapping EU frameworks
- Control ownership, status, and risk treatment decisions in one auditable workflow
Evidence Generation and Remediation Workflows
A risk score is only useful if it leads to action and produces proof. StartComply turns analytics into tasks, approvals, evidence packages, and regulator-ready reports.
- Audit-ready evidence packages with timestamps, owners, decisions, and source data
- Auto-escalation when risk appetite thresholds are breached
- Corrective action tracking from detection to closure
- Board and regulator reporting templates generated from live risk data
StartComply vs. The Alternatives
Most security tools generate signal. Most GRC tools store records. StartComply connects the two and turns live cyber risk data into regulator-ready evidence.
StartComply was built for European organisations that need cyber risk analytics, compliance mapping, evidence generation, and remediation workflows in one operating system.
What Is a Cyber Risk Analytics Platform?
A cyber risk analytics platform sits above your security tools and converts raw signal into quantified, prioritised, audit-ready risk intelligence. It is not a vulnerability scanner, and it is not a SIEM. It aggregates data from your environment, connects it to assets, controls, suppliers, and regulatory requirements, then produces risk scores and treatment workflows your teams can use.
The core functions are asset discovery and classification, threat and vulnerability ingestion, risk quantification, control mapping, and continuous monitoring. Every function must produce evidence, not only a number, because regulators do not accept dashboards as proof.
The output is threefold. Security teams get a prioritised remediation queue. CISOs get a control-mapped risk register evidenced against specific regulatory articles. Boards get a financial or scored view of risk they can use to make decisions.
Risk scores are not evidence. StartComply connects each score to the assets, control tests, remediation actions, approvals, and regulatory articles needed to prove compliance during an audit.
How StartComply Turns Analytics Into Audit-Ready Risk Intelligence
Connect your security stack API integrations
Connect Microsoft Defender, Sentinel, endpoint protection, cloud posture management, identity platforms, vulnerability tools, and third-party risk feeds. StartComply builds the evidence trail from the systems your teams already use.
Turn raw signals into risk scores FAIR-ready
Convert vulnerabilities, control gaps, threat intelligence, and supplier signals into scored or monetary risk views. Quantification gives leadership context that Low, Medium, and High labels cannot provide.
Map risk to legal obligations NIS2 / DORA / ISO
Automatically connect findings to NIS2 Article 21, DORA Articles 6, 8, 28, and 30, and ISO 27001:2022 controls. The same finding can support multiple frameworks without duplicate work.
Trigger remediation when thresholds break DORA Art. 6
Configure risk appetite thresholds and escalation rules. When risk crosses a limit, StartComply opens a corrective action, assigns an owner, sets a deadline, and records the management trail.
Package proof for audits and reviews Audit-ready
Generate timestamped evidence packages with assessment records, control tests, treatment decisions, remediation history, and supplier evidence. Proof is assembled automatically, not over a weekend before the audit.
Client Testimonials
“We evaluated enterprise platforms costing 10x more. StartComply does what we need at a price that makes sense.”Elena Kowalski
“Finally, a compliance tool that understands European regulations. StartComply got us audit-ready in weeks, not months.”Maria Papadopoulou
“The AI policy engine alone saved us hundreds of hours. And the third-party risk management is exactly what DORA requires.”Thomas Müller
Frequently Asked Questions About Cyber Risk Analytics Platforms
What is a cyber risk analytics platform and how does it differ from a SIEM?
A SIEM collects and correlates security events in real time for threat detection and incident response. A cyber risk analytics platform sits above that layer: it aggregates outputs from your SIEM and other security tools, then converts those signals into quantified risk scores mapped to your regulatory framework. The SIEM tells you something happened. The analytics platform explains the compliance impact and generates the evidence to prove you responded appropriately.
Does NIS2 require a cyber risk analytics platform specifically?
NIS2 does not name specific tools, but Article 21 requires essential and important entities to implement proportionate, continuously maintained security measures including risk analysis, vulnerability handling, and supply chain security. Meeting those requirements with spreadsheets and annual assessments is not proportionate or continuous. Live risk registers and treatment records are the operational evidence competent authorities expect to see.
How does cyber risk quantification differ from traditional risk scoring?
Traditional risk scoring assigns a qualitative level such as Low, Medium, or High based on likelihood and impact criteria. Quantification expresses risk in monetary terms, using frameworks such as FAIR, so a risk is valued as an expected annual loss figure. Quantification supports proportionality arguments under DORA Article 6 by showing that controls are sized to the financial exposure.
Can a cyber risk analytics platform cover both NIS2 and DORA simultaneously?
Yes. Many European financial entities subject to DORA are also NIS2 essential or important entities. The two frameworks overlap around ICT risk management, third-party risk, and incident reporting. StartComply maps the same finding, control gap, remediation task, and evidence package to multiple articles, so one workflow supports both frameworks instead of creating duplicate compliance programmes.
How quickly can a cyber risk analytics platform be deployed and producing results?
A platform built for European companies should connect to existing security tooling via API and produce a baseline risk assessment within the first two to four weeks. Third-party risk onboarding and auto-escalation configuration typically complete within 60 days. Avoid six to twelve month timelines for initial value because regulatory pressure does not wait for enterprise theatre.
What evidence does a cyber risk analytics platform generate for regulators?
Audit-ready evidence includes timestamped risk assessments with scores and justifications, control test results mapped to specific regulatory articles, remediation records showing assignment and closure, risk treatment decisions with approval records, and third-party supplier assessment results. Dashboard screenshots are not enough when an auditor asks for proof that Article 21 measures are continuously operational.
Stop Reporting Yesterday’s Risk.
Who Needs Cyber Risk Analytics Under EU Rules?
Cyber risk analytics matters most for organisations that must prove risk is continuously identified, assessed, monitored, and treated. Under NIS2 and DORA, that includes critical sectors, important entities, financial entities, and ICT providers whose services affect operational resilience.
The regulatory pressure is especially high for these two groups:
Management accountability is active. Cyber risk analytics gives leadership the live context, escalation trail, and evidence needed to demonstrate oversight.
Cyber Risk Analytics Deployment Timeline: The First 90 Days
Connect your security tooling via API, build the asset inventory, and run the first baseline risk assessment against NIS2, DORA, and ISO 27001.
Onboard critical suppliers, integrate third-party cyber risk signals, and activate risk appetite thresholds with automatic escalation workflows.
Configure governance reporting, board dashboards, regulator templates, and simulated audit evidence packages before the first supervisory review.
Risk scores update as new assets, vulnerabilities, supplier signals, and control changes appear. The standard is continuous, not annual.
Run evidence readiness checks so every risk score can be traced to source data, owners, treatment decisions, control tests, and remediation records.
Under active regulatory pressure?
Start with the risk baseline. If you cannot show which assets, suppliers, controls, and exposures drive your risk score, your audit evidence is already incomplete.
The 10 Components of a Complete Cyber Risk Analytics Programme
A working analytics programme is not just a dashboard. It combines data sources, risk models, controls, owners, escalation rules, and evidence workflows into one auditable operating model.
Asset inventory
A continuously updated view of systems, cloud workloads, identities, applications, and data assets in scope.
Security data integrations
Documented API connections to SIEM, EDR, vulnerability management, cloud posture, identity, and third-party risk tools.
Risk scoring model
A transparent methodology for likelihood, impact, control effectiveness, exposure, and monetary quantification.
Regulatory mapping
Automated mapping from risks and controls to NIS2, DORA, ISO 27001:2022, and internal policy requirements.
Risk appetite thresholds
Board-approved limits that define which cyber risks are acceptable, which require treatment, and which require escalation.
Continuous monitoring
Live updates when vulnerabilities, threat intelligence, supplier posture, or asset exposure changes.
Third-party cyber risk scoring
Supplier risk assessments, ICT provider controls, and external posture signals connected to the main risk register.
Remediation workflows
Tasks with owners, deadlines, approvals, status history, and evidence of closure for each high-risk finding.
Evidence repository
Timestamped assessments, control test results, treatment decisions, and source records ready for audit review.
Executive reporting
Board-level reporting that translates technical findings into business impact, exposure, and compliance status.
