Real threat
Active exploitation observed, probability of exploitation and inclusion in active-exploitation catalogs — what is being attacked right now.
INTELLIGENT PRIORITIZATION · RBVM
The right queue comes from many signals, combined by Machine Learning.
Severity alone does not order remediation. CSURFACE weighs dozens of signals — threat, exposure, exploitability and business context — into a single model, and delivers a queue that reflects real risk. No spreadsheets, no manual rules.
THE CHALLENGE
Ordering by one or two factors leaves real risk behind
Prioritizing by technical severity — or even by severity added to the probability of exploitation — is still a partial reading. The real risk of an asset depends on many things at once: whether it is under active exploitation, how exposed it is, what it reaches if it falls, how much it matters to the business and how strongly it attracts an attacker.
Combining these factors by hand does not scale, and fixed rules age. Prioritization needs to weigh many signals at once, learn from what is actually exploited and recalibrate on its own — so the team always works on the queue that matches reality.
THE ENGINE
Many signals go in; one prioritized queue comes out
Every asset is assessed across dozens of signals. A Machine Learning model, supervised by the agentic layer, learns how those signals weigh and combines them into a single priority — recalibrated continuously.
The factors and how they weigh are the core of the model. What reaches the team is a grounded work order: each position carries its rationale, without anyone having to combine signals in a spreadsheet.
DIMENSIONS CONSIDERED
What goes into the calculation — beyond severity
The priority brings together the dimensions a team would use to decide, assessed for each asset automatically and auditably.
Exposure and reach
How exposed the asset is, its discoverability from the outside and the blast radius — what its exploitation would reach.
Business context
The asset's relevance to the operation, the area that runs it and its attractiveness to an attacker — the real weight to the business.
These dimensions unfold into dozens of signals. It is the learned combination among them — not any isolated factor — that defines the priority.
ALWAYS CURRENT
The priority recalibrates when reality changes
The calculation is not a one-off: new evidence of exploitation, changes in exposure or in criticality reorder the queue automatically — the team never works on a stale snapshot.
No manual work
The team receives a ready, grounded queue. Time goes to remediation, not to building criteria in a spreadsheet.
Focus on what matters
Remediation capacity concentrates on the fraction of assets that concentrates real risk, at the right moment.
Traceable decision
Each position in the queue carries the context that sustains it — prioritization is auditable, even without exposing the formula.
FREQUENTLY ASKED QUESTIONS
FAQ
Which factors go into the prioritization?
Dozens of signals grouped into three dimensions — real threat, exposure and reach, and business context. The relationship between them is learned by the model; the client receives the ordered queue and the context of each position, not the internal weights.
Do I need to configure rules or weights?
No. Prioritization works without manual rules and without parameterization. The team can adjust exceptions whenever it wants, but starts from a ready queue.
Does the priority change over time?
Yes. When active exploitation appears, when exposure changes or when an asset's criticality is revised, the queue is recalculated automatically, without intervention.
See how your remediation queue would change with prioritization by real risk.
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