Vulnerability Prioritization for Connected Devices
Stop Drowning in Vulnerabilities. Start Addressing Real Risk.
Security teams identify thousands of vulnerabilities across connected devices, but lack the resources to address them all. Traditional vulnerability management treats every High or Critical CVSS score as equally urgent, creating endless backlogs while real threats go unaddressed.
ORDR delivers risk-based vulnerability prioritization that reduces remediation noise by up to 97% while maintaining the same impact on attack surface reduction. The platform discovers every connected device across IT, IoT, OT, and IoMT environments, identifies vulnerabilities traditional scanners miss, and prioritizes remediation based on organizational risk rather than CVSS scores alone.
What Makes ORDR's Vulnerability Prioritization Different
Traditional vulnerability scanners cannot effectively profile connected devices. They miss IoT, OT, and medical devices entirely. They rely on CVSS scores that ignore business context. They generate alerts without providing the intelligence security teams need to act.
ORDR was purpose-built for connected device environments. Passive discovery identifies vulnerabilities without disrupting operations. AI/ML classification enriches every vulnerability with device context. Organizations using risk-based vulnerability management experience 80% fewer breaches than those relying solely on CVSS scores.
Key Differentiators:
| Capability | Traditional Scanners | ORDR |
|---|---|---|
| Device Discovery | IT assets with agents only | Complete IT, IoT, OT, IoMT visibility |
| Operational Impact | Active scanning may disrupt devices | Passive traffic analysis, zero disruption |
| Prioritization | CVSS severity scores | Risk-based scoring with business context |
| Unmanaged Devices | Limited or no coverage | Purpose-built for IoT, OT, medical devices |
| Exploit Intelligence | Manual correlation required | KEV and EPSS integrated automatically |
Complete Vulnerability Detection Across Connected Devices
Passive Discovery Without Risk
Identifies device make, model, firmware, and OS via deep packet inspection, no disruptive scanning required.
Seamless Scanner Integration
Consolidates data from Tenable, Qualys, and Rapid7 with deduplication and added device context.
Unscannable Asset Coverage
Detects vulnerabilities on sensitive or legacy devices using KB/HF correlation without active scans.
Industry-Specific Intelligence
Correlates data with NVD, MITRE, ICS-CERT, FDA Recall DB, and OpenVAS for relevant, sector-specific insights.
Asset Context Enrichment for Prioritization
CVSS scores measure technical severity. Security teams need to understand business impact.
ORDR Asset Risk Score Components
| Risk Factor | What ORDR Evaluates | Impact on Priority |
|---|---|---|
| Device Criticality | AI/ML classification identifies function and business importance | Mission-critical systems receive the highest priority |
| Exploit Likelihood | EPSS scores predict exploitation probability, KEV identifies active exploits | Weaponized vulnerabilities prioritized over theoretical risks |
| Network Exposure | Internet accessibility, segmentation status, and lateral movement paths | Exposed devices elevated above air-gapped systems |
| Data Sensitivity | PHI, PII, and financial data handling capabilities | Assets protecting sensitive data are weighted higher |
| Operational Context | Location, environment, department (clinical, production, administrative) | Critical zones prioritized over general areas |
Assets are scored from Level 1 (low risk) to Level 5 (mission-critical). This numerical framework eliminates subjective prioritization and enables consistent remediation planning across security, IT, and operations teams.
Why Choose ORDR for Vulnerability Prioritization
Purpose-Built for Unmanaged Devices
ORDR was designed specifically to discover and secure connected devices that traditional tools cannot profile. IoT, OT, and IoMT visibility is native to the platform.
Risk-Based Prioritization Reduces Remediation Volume by 97%
ORDR Asset Risk Score considers device criticality, exploit likelihood, exposure, data sensitivity, and location. Teams focus on vulnerabilities that actually threaten business operations.
Enforcement-Ready Intelligence
Device context flows directly into remediation workflows through ServiceNow, Jira, and ITSM platforms. Segmentation policies isolate vulnerable assets automatically until patches are available.
130+ Native Integrations
ORDR shares device intelligence across existing security, IT, and network platforms. Vulnerability data enriches SIEM correlation. Asset context improves NAC policy decisions.
Proven AI Technology
Eight years of patented AI/ML technology trained on 100M+ real-world devices. Device identification reflects proven accuracy across healthcare, manufacturing, and financial services environments.
Our Vulnerability Prioritization Process
By integrating discovery, detection, and risk scoring, this workflow enables faster and more effective vulnerability management.
| Step | What Happens | Result |
|---|---|---|
| 1. Discover | Passive network traffic analysis identifies every IT, IoT, OT, IoMT device by make, model, manufacturer, firmware version, OS | Complete asset inventory without agents or scanning |
| 2. Detect | Map device intelligence to NVD, MITRE, ICS-CERT, FDA Recall DB, OpenVAS; integrate Tenable, Qualys, Rapid7 scan data | Comprehensive vulnerability identification across managed and unmanaged devices |
| 3. Enrich | AI/ML assigns device function, criticality, and data sensitivity; KEV/EPSS data identifies active exploits; network analysis reveals exposure | Business context added to every vulnerability |
| 4. Prioritize | Calculate ORDR Asset Risk Score (Level 1–5) based on criticality, exploitability, exposure, data sensitivity, and location | 97% reduction in immediate remediation requirements |
| 5. Remediate | Auto-create tickets in ServiceNow/Jira; assign to device owners; enforce segmentation for unpatchable assets | Automated workflows from identification to resolution |
Best Practices for Risk-Based Vulnerability Management
Effective risk-based vulnerability management focuses on reducing real-world risk rather than simply counting vulnerabilities.
Prioritize vulnerabilities on devices that directly impact operations, such as medical devices, industrial controls, and financial systems
Identify legacy or unsupported systems and apply compensating controls like segmentation, communication policies, and monitoring
Use KEV and EPSS data to focus on actively exploited (weaponized) vulnerabilities rather than theoretical risks
Automate risk scoring, workflow assignment, and policy enforcement to keep pace with modern attack surfaces
Track high-risk assets, mean time to remediation, and overall attack surface exposure over time
Integration Ecosystem
ORDR integrates with a wide range of security, IT, and cloud platforms to enhance visibility and streamline remediation workflows.
| Category | Supported Platforms |
|---|---|
| Vulnerability Scanners | Tenable, Qualys, Rapid7 |
| ITSM/Ticketing | ServiceNow (including VR module), Jira, BMC Remedy |
| SIEM/SOAR | Splunk, Microsoft Sentinel, IBM QRadar, Palo Alto Cortex XSOAR |
| Endpoint Security | CrowdStrike, Microsoft Defender, SentinelOne |
| Network Security | Cisco ISE, Palo Alto Networks, Fortinet, Aruba ClearPass |
| Cloud/Identity | Microsoft Entra ID, Okta, AWS, Azure, Google Cloud |
Frequently Asked Questions
Who Risk-Based Vulnerability Prioritization Is For
This is the best solution for organizations that:
Healthcare systems with medical IoT devices, manufacturing facilities with OT equipment, or enterprises with extensive IoT deployments, where traditional vulnerability scanners cannot effectively profile all assets.
Security teams are drowning in thousands of High and Critical CVSS findings, making it hard to focus remediation efforts on vulnerabilities that pose real organizational risk.
Environments where active vulnerability scanning would disrupt operations, such as patient care areas, production floors, or critical infrastructure.
Enterprises using Tenable, Qualys, Rapid7, ServiceNow, Splunk, or other security platforms that need a unified view of vulnerabilities across managed and unmanaged devices.