EXPLAINABLE CYBER RISK DECISIONING
The real bottleneck
Security teams don’t have a visibility problem. They have a decision problem.
Too Many Findings
Organizations receive thousands of vulnerability findings every day, making it difficult to determine which issues meaningfully increase enterprise risk.
Disconnected Security Data
Security context is scattered across vulnerability scanners, asset inventories, identity systems, threat intelligence, and business applications.
Unclear Priorities
Security teams need defensible, evidence-backed decisions—not another severity score—to align remediation with business risk.
Platform
One Decision Platform. Four Intelligence Engines.
Contextual Risk Prioritization
Correlate vulnerability severity with business context, asset criticality, exploitability, and environmental exposure.
Predictive Exploitability
Estimate which vulnerabilities are most likely to be exploited before they appear on known exploited vulnerability lists.
Attack Path Intelligence
Understand how attackers can realistically chain vulnerabilities, identities, and network exposure into material enterprise risk.
Risk Reduction Simulation
Model remediation strategies before assigning work to understand which actions reduce the greatest amount of exposure.
Product surfaces
Built around the decisions security leaders need to defend.
Executive Dashboard
Executive visibility into enterprise cyber exposure, prioritization, and remediation progress.
Attack Path Explorer
Visualize realistic attacker movement across vulnerabilities, identities, assets, and business systems.
Exploit Prediction
Identify vulnerabilities with the greatest likelihood of exploitation using explainable machine learning.
Risk Reduction Simulator
Understand how remediation decisions reduce enterprise exposure before implementation.
Why VantagePoint
From fragmented findings to defensible decisions.
Traditional Security Approach
• Thousands of alerts
• CVSS-first prioritization
• Disconnected security tools
• Manual analyst correlation
• Reactive remediation planning
VantagePoint Cyber
• Explainable risk decisions
• Business-aware prioritization
• Unified security context
• Attack-path intelligence
• Risk reduction simulations
Explainability
Explainable by Design
Every risk score, attack path, and recommendation is backed by transparent evidence, contextual reasoning, and business impact. Security teams should never have to trust a black box.
Evidence-backed prioritization
Transparent decision rationale
Executive-ready remediation guidance
Early access
Seeking Design Partners
We’re partnering with a limited number of enterprise organizations to help shape the future of explainable cyber-risk decisioning through collaborative pilots and design partnerships.