Build the business case for automated VulnOps.

This calculator unifies two proven methodologies into four value pillars. Each pillar operates on a different population of findings, with zero double-counting.

Pillar A: Faster Remediation. Not every true positive gets fixed. Only a fraction (default 22%) are actively remediated, reflecting that most backlogs are never fully cleared. For those, Pixee's automated remediation (76% merge rate) reduces fix time by 40–65%, recovering hours otherwise lost to manual work.

A = TruePositives × RemediationRate × HoursPerFix × DevRate × Improvement × (1 - RiskAdj)

Pillar B: Breach Risk Reduction. Each year is modeled as a binary event: breach or no breach. Probability comes from Cyentia IRIS 2022 data, scaled by org size. Pixee reduces breach probability by 25–75% through faster patching and reduced exposure window. Because breaches are rare, most trials show $0, so the chart shows the expected annual value (mean across trials), not the median.

Pillar C: Triage Efficiency. Automated triage eliminates manual review of scanner findings. Your AppSec team stops spending hours categorizing findings that a machine can classify in seconds.

C = Developers × CodeLines × Weeks × DefectDensity × TriageTime × Coverage × (1 - RiskAdj)

Pillar D: False Positive Reduction. 60–88% of scanner findings are false positives. Reachability analysis suppresses 70–90% of those. The 50% triage rate multiplier accounts for backlog findings that never reach a human. Only the false positives that actually consumed triage time are counted. Calibrated against industry data from Endor Labs, Semgrep, and Ox Security.

FP-Reduction = TotalFindings × FPRate × Suppression × TriageRate × (TriageTime × AppSecRate) × (1 - RiskAdj)

Double-counting prevention: The FP-reduction layer operates on suppressed-and-triaged false positives. The faster-remediation layer operates on remaining true positives. The triage-efficiency layer operates on remaining triage workload. The breach-risk layer is independent at the org level. No finding is counted in more than one layer.

Instead of a single point estimate, this calculator runs 5,000 independent simulations. Each trial samples from calibrated probability distributions (triangular, uniform, lognormal) for every variable, computes the 4-pillar model, and records the outcome.

The result is a distribution of outcomes, not a single number. You see the 5th percentile (pessimistic), 50th (median), and 95th (optimistic), so you can stress the case at the low end, not just the headline. Most vendor calculators only ever show you one number.

Cash flows reflect a phased adoption ramp (50% of the modeled benefit in year one by default), so the first-year value is realistic first-year savings, not full run-rate.

Loss Exceedance Curve: For each simulation, the model records breach losses with and without VulnOps. The LEC shows the probability of losses exceeding any given threshold, the same format used in actuarial and enterprise risk reporting.

No model captures everything. Here is what this one excludes:

• Prevention at design time. This model only values triaging and fixing vulnerabilities once they reach your code. It does not credit Pixee's proactive, design-stage product (Foresight), which is built to prevent vulnerabilities before they are ever written. Every vulnerability never introduced is upside this calculator leaves out.
• Regulatory penalties. Fines from EU AI Act, SOX, PCI-DSS, or HIPAA are not modeled.
• Reputational damage. Brand and customer trust erosion after a breach is real but not reliably quantifiable in advance.
• Opportunity cost of delayed features. This model counts the labor cost but not the revenue impact of delayed features.
• Organizational change costs. Onboarding, training, and process redesign costs beyond the implementation fee are excluded.
• Multi-tool interaction. If you run Pixee alongside other remediation tools, the combined effect may differ from this single-tool model.