Live

Prioritize vulnerabilities by business risk
with AI scoring, exploit intelligence,
and asset context.

Connect exploitability, asset criticality, threat intelligence, and exposure context to focus remediation where it matters most.

iStreet’s Risk-Based Vulnerability Management transforms vulnerability data into actionable risk intelligence, helping security and IT teams prioritize exposures based on business impact rather than severity scores alone.

The solution evaluates vulnerabilities against asset criticality, exploit likelihood, threat activity, exposure context, and existing controls to create a continuously updated view of vulnerability risk.

Built within iStreet’s Sovereign AI Enterprise Platform, RBVM advances vulnerability management beyond static CVSS-based prioritisation with contextual risk scoring, adaptive intelligence, and governed remediation.

This is not vulnerability scanning with better reports.

This is AI-driven risk reduction that protects what matters most to your business.

 

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
Arrow

RBVM

  • AI-driven contextual risk scoring based on exploitability, asset criticality, and threat context
  • Predictive modelling to identify vulnerabilities with higher likelihood of exploitation
  • Adaptive prioritisation as threat intelligence, asset context, and exposure change
  • Integration across SIEM, ITSM, CMDB, vulnerability scanners, and cloud environments
  • Unified risk visibility aligned with business criticality and remediation priorities

Key capabilities

Contextualised Vulnerability Prioritisation

  • Evaluates vulnerabilities using asset criticality, exposure context, exploitability, and control effectiveness
  • Distinguishes business-critical exposures from lower-risk findings
  • Directs remediation effort toward vulnerabilities that materially affect enterprise risk

AI-Powered Threat Modeling & Prediction

  • Correlates vulnerability intelligence with emerging exploit and threat activity
  • Identifies vulnerabilities with a higher likelihood of exploitation
  • Evaluates potential attack paths and exposure relationships across enterprise environments

Continuous Learning & Adaptive Risk Scoring

  • Continuously updates vulnerability priorities as threat and asset conditions change
  • Incorporates new vulnerabilities, exploit intelligence, configuration changes, and enterprise context
  • Prevents static scan results from driving remediation after risk conditions have changed

End-to-End Integration & Remediation Automation

  • Connects prioritized vulnerabilities with existing ITSM and remediation processes
  • Provides remediation teams with vulnerability context, risk priority, and recommended guidance
  • Tracks ownership, progress, and remediation status across the vulnerability lifecycle

Unified Enterprise Risk Dashboard

  • Real-time visibility into vulnerability and exposure posture across cloud, on-premise, container, and hybrid environments
  • Correlates asset criticality, vulnerability severity, exploitability, and threat likelihood into a contextual risk score
  • Translates technical vulnerability findings into executive-ready business risk insights

GenAI-Powered Vulnerability Intelligence

  • Plain-language vulnerability summaries and remediation guidance delivered instantly
  • Conversational interaction with your vulnerability data and get an actionable answer.
  • Knowledge captured from every remediation cycle, organisation’s vulnerability intelligence compounds over time.

Use cases

Risk-Driven Patch Prioritisation

Ranks vulnerabilities using exploitability, asset criticality, exposure, threat activity, and business context so remediation teams can focus on the exposures that carry the greatest risk.

Proactive Exploit Prevention Vulnerabilities

Identifies vulnerabilities showing increased exploit likelihood or emerging threat activity, helping teams prioritize remediation before exposure increases.

Cloud, Container and Hybrid Exposure Management

Applies consistent risk-based prioritization across cloud workloads, containers, Kubernetes environments, on-premises infrastructure, and hybrid technology estates.

Remediation Accountability and Tracking

Connects prioritized findings with remediation workflows, ownership, status, and verification to provide clearer accountability across security and IT teams.

Dynamic Prioritization

Risk priorities evolve as vulnerabilities, threat intelligence, configurations, assets, and exposure conditions change.

Business-Context Risk Intelligence

Technical vulnerability findings relate to enterprise context to show where exposure can create the greatest operational or business impact.

Why us

Sovereign

Designed to keep vulnerability, asset, exposure, and enterprise risk intelligence within defined enterprise-controlled environments and deployment boundaries.

Governed

Risk context, prioritization logic, remediation evidence, ownership, and traceability remain connected throughout the vulnerability management lifecycle.

Production-Ready

Designed to prioritise vulnerability risk across complex cloud, on-premise, container, and hybrid enterprise environments while integrating with existing security and IT workflows.

Unified

Connects RBVM with iStreet’s SIEM++, AI-Native SecOps, GRC, Unified BOM, Resiliency Operations Centre, and broader security and resilience capabilities within a connected enterprise architecture.

GenAI-Powered Vulnerability Insights

iStreet's GenAI delivers plain-language vulnerability summaries, remediation guidance, and conversational risk exploration — your team acts faster with clearer context.

Vulnerability Backlogs to Risk-Based Remediation

Focus remediation on the vulnerabilities that matter most, with contextual risk intelligence, adaptive prioritisation, and connected action.

Question Mark