Every enterprise has vulnerabilities. The real risk is not how many you have, it’s which ones will actually be exploited.
Traditional vulnerability management floods teams with CVEs- ‘Common Vulnerabilities and Exposures’, ranks by static CVSS- ‘Common Vulnerability Scoring System’ scores- which are often disconnected from business reality. Leading to-Thousands of findings, manual triage, endless patch cycles, teams stay busy, but risk remains unchanged.
So we built Risk-Based Vulnerability Management (RBVM)to change that. Our RBVM solution combines AI, contextual intelligence, and predictive threat modeling to identify vulnerabilities that pose real, immediate business risk, not just theoretical severity.
This is not vulnerability
scanning. This is
risk intelligence.
Traditional VM
- Flat CVSS-based prioritization
- Manual threat assessment
- Static tools with no adaptability
- Siloed systems with poor integration
- Fragmented risk visibility
RBVM
- AI-driven, contextual risk intelligence scoring
- Predictive modeling that can assess future attacks and flag high likelihood CVEs
- Continual AI learning to ensure system evolves with threat and asset change
- End-to-end API integration across SIEM, ITSM, CMDB and cloud tools
- Unified dashboard showing risk posture in lines with business priorities and threat levels
Key capabilities
Contextualised Vulnerability Prioritisation
- AI/ML-based risk scoring beyond CVSS to include asset criticality, exposure, and control effectiveness
- Dynamic scores reflect real business impact and exploit likelihood
- Clear, ranked remediation priorities that improve patch SLAs and reduce fatigue
AI-Powered Threat Modeling & Prediction
- Behavioral modeling to uncover hidden attack paths and lateral movement potential
- Predictive analytics that identify vulnerabilities most likely to be exploited next
- Proactive risk mitigation driven by attacker behavior, not just historical scans
Continuous Learning & Adaptive Risk Scoring
- Continuous learning from new CVEs, exploit trends, and threat intelligence feeds
- Adaptive prioritisation as assets, configurations, and exposure change
- Predictive, always-current risk assessment, not static snapshots
End-to-End Integration & Remediation Automation
- Seamless integration with SIEM, ITSM (Jira, ServiceNow), CMDBs, and cloud platforms
- Automated ticket creation, remediation tracking, and closure validation
- Reduced time-to-remediate with clear accountability across security and IT teams
Unified Enterprise Risk Dashboard
- Real-time view of enterprise-wide vulnerability and exposure posture
- Correlation of asset value, vulnerability severity, and threat likelihood
- Business-aligned reporting for CISOs, compliance, and executive decision-making
Use cases
Why us
Risk-centric, not CVE-centric
We prioritise impact and likelihood, not raw vulnerability counts.
Built for regulated, high-risk industries
Ideal for BFSI, healthcare, and compliance-driven enterprises.
Moves security from reactive to strategic
From firefighting to foresight, with measurable risk reduction.
AI-native and predictive by design
Machine learning and threat modeling are embedded at the core.
Integrated into the iStreet security fabric
RBVM works seamlessly with SIEM++, SOAR, Resiliency Operations, GRC, and Unified Data.
