Twelve named modules sharing the same asset, control and risk model.
Connect governance to security operations.
Both platforms publish integrated cyber risk, compliance, third-party management, remediation, external intelligence and executive reporting. STORM is the clearer operational fit when the same environment must also run dedicated phishing exercises, named threat-intelligence workflows, security monitoring, maritime operations and a path to discuss on-premise deployment.
Source-backed comparison · Centraleyes information links to its official website · Reviewed 1 October 2026
AI-powered evidence, remediation and reporting across cyber risk and compliance.
A broader operational security model.
Centraleyes publishes strong AI-assisted cyber GRC capabilities. STORM stands out for teams that want their governance platform to explicitly include operational modules, named security integrations and sector-specific maritime workflows.
Twelve explicit modules
Risk, compliance, audits, incidents, assets, suppliers, continuity, policies, tasks and reporting connect directly to phishing, threat intelligence and security monitoring.
Platform scopeA defined five-phase method
STORM publishes a practical sequence from asset cartography and risk through policies, third parties and continuous monitoring.
Operational methodDedicated security workflows
GoPhish exercises, FortiRecon threat intelligence, CVE and DNS monitoring are documented as part of the STORM environment.
Named capabilitiesMaritime and deployment choice
STORM publishes shore, fleet and vessel workflows and offers a discussion path for on-premise deployment under strict locality requirements.
Sector and architectureWhere STORM is the more operational fit.
The comparison below acknowledges Centraleyes' published strengths and isolates the requirements for which STORM documents a more explicit or more specialized approach.
This is a focused comparison of documented differentiators, not a complete feature inventory. An unlisted Centraleyes capability is not treated as unavailable; confirm current functionality, integrations, deployment and contract terms in both demonstrations.
From asset context to security action.
STORM's differentiator is the explicit route from the operating environment to risk decisions, security evidence and executive reporting.

Start with the operational environment, not the checklist.
STORM ties cartography, impact and threat assessment to risk scenarios, treatments and residual risk, keeping framework activity connected to the underlying exposure.
- Asset and dependency cartography
- Impact, threat and vulnerability assessment
- Risk register, scenarios and treatment plans
- Heatmaps and executive risk reporting

Bring external exposure into the risk conversation.
FortiRecon threat intelligence, CVE tracking and DNS monitoring give security and governance teams specific operational context for prioritization and follow-up.
- FortiRecon threat-intelligence integration
- CVE monitoring and security advisories
- DNS and external exposure monitoring
- Context connected to risk decisions

Let operational signals support the audit trail.
Supported MDM and EDR integrations can pre-populate endpoint posture, configuration state and asset attributes. Findings and remediation tasks then move through the connected governance workflow.
- Endpoint posture and asset attributes
- Evidence mapped to relevant controls
- External supplier ratings in context
- Tasks synchronized with team workflows
What should you validate?
Bring your actual assets, risk process, threat sources, phishing program, evidence workflows, reports and deployment constraints to the STORM demonstration.
Is STORM only a compliance assessment tool?
Does STORM include threat intelligence and phishing workflows?
Does STORM support maritime cyber-risk programs?
Does STORM offer an on-premise option?
Bring your workflows. We'll show the connected model.
Use a 30-minute session to test STORM against your assets, risks, security tools, maritime operations, reporting needs and deployment constraints.
