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.
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 fraud
monitoring. This is
sfraud intelligence
and prevention.
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
Contextualized Vulnerability Prioritization
- 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 prioritization 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 prioritize 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.
