Product
Predictive Security Engine
Valystrum’s Predictive Security Engine brings machine learning to the forefront of cyber risk management. By modelling breach probability for every asset and organization, Valystrum enables proactive, data-driven security decisions, empowering CISOs to prioritize what matters and communicate risk in business terms.
predictive securitybreach probabilityml-risk modellingforecastingrisk enginerisk prioritization
Key Features
- Breach Probability Modelling: ML models estimate the probability of a breach for every asset, based on vulnerabilities, exposures, behavioural anomalies, and graph topology.
- Per-Org Fine-Tuning: Models are fine-tuned for each organization, leveraging both global and local data for maximum accuracy.
- Actionable Insights: SHAP (explainability) analysis surfaces the top drivers of risk, supporting targeted remediation.
- Continuous Learning: Models update as new data arrives, ensuring forecasts remain current.
- Board-Ready Metrics: Breach probability is rolled up for executive reporting, supporting risk quantification and investment decisions.
Competitive Differentiators
- ML-Driven, Not Heuristic: Moves beyond static scoring to true predictive analytics.
- Per-Org Customization: Each customer benefits from models tailored to their environment.
- Explainable AI: Every prediction is accompanied by an explanation of key risk drivers.
- Integrated with Unified Graph: Predictions leverage the full context of the living security graph.
See how it works against your estate.
A 30-minute walkthrough against a sandbox of your scale, with one of our governance engineers.
Related