and whether one headline rewrites your company.
Put a number on the CVEs and license issues already in your code.
average cost of a US data breach, at an all time high. The figure that lands on your P&L, your press, and your customer list at the same time.
Of identified vulnerabilities remained unpatched for more than six months, the window attackers depend on.
Exploited in the wild, up from 78 the prior year, an increasing share aimed at enterprise infrastructure.
Cost of a third party compromise, the second costliest breach vector.
Enter your findings. See the exposure update in real time.
Set your open vulnerabilities by severity, your license conflicts, and your revenue at stake. The model returns a single annualized exposure figure built from five cost drivers, and the savings a TripleScan baseline is modeled to recover. Adjust any input and the figures recalculate instantly. This is a planning estimate, not a quote.
The questions you cannot answer yet.
These are not technical questions. They are the questions you get asked at a customer escalation call, a board meeting, an investor update, or a fundraise diligence room. Read each one and ask yourself honestly whether you could answer it today, with numbers, not from memory and not by saying you will follow up.
Step 01
Get your external Tech Risk Score.
A 0 to 100 score that grades your software supply chain posture from the outside, the same view a security review committee or insurance underwriter would see. Most companies score below 50 the first time. No code access required.
Step 02
Run TripleScan on your real codebase.
Replace the estimate above with your actual numbers. TripleScan returns your real CVE count, severity distribution, license posture, and SBOM in under an hour. Average customer onboarding finds 50 critical and high vulnerabilities they did not know they had.
Step 03
Plug your real numbers into this calculator.
Once TripleScan reports back, return to this page and replace the placeholder values with your actual CVE count, license issue count, and average enterprise deal size. The result is a defensible exposure figure you can take into a budget conversation.
Step 04
Bring it to the right stakeholders.
Software supply chain risk lands differently in every seat at the table. We have built role specific playbooks so you can frame this conversation in the language your board, CEO, CFO, General Counsel, or CRO already speaks.
Board
CEO
CFO
General Counsel
CRO
Three forces collided in 2026. Your exposure scaled with them.
The estimate above is not a worst case scenario. It is the natural result of CVE volume, exploit speed, and AI generated code converging at the same time. Here is what shifted, and why the cost of doing nothing keeps climbing.
59K
CVEs forecast for 2026
Up from 48,185 in 2025. FIRST puts the realistic upper bound near 100,000 in a high year. The NVD has acknowledged it can no longer fully enrich every CVE it receives, with only 28% reaching full analysis in 2025.
5 days
Median time to exploit
The median time from disclosure to active exploitation is now under five days. 32.1% of exploited vulnerabilities are abused on or before their disclosure date, effectively making them zero days.
$4.91M
Average supply chain breach
Third party involvement in breaches doubled year over year to 30% of all incidents. Resolution takes 267 days, the longest of any attack vector. ITRC tracked 1,251 entities affected by supply chain breaches in 2025, nearly double the 2024 count.
The 2026 Accelerant
AI is now writing the code and the vulnerabilities.
Academic research finds that roughly 48% of AI generated code suggestions contain exploitable vulnerabilities, while Gartner forecasts that 60% of all new code will be AI generated by the end of this year. One enterprise generating code with AI assistants is now producing more than 10,000 new security findings per month, alongside a 3 to 4x jump in development velocity. The same productivity gain is the same risk multiplier.
The CVE backlog is not growing because researchers got better. It is growing because attackers and developers are both shipping faster than humans can review. Manual triage at this volume is not behind, it is structurally impossible.
48%
A read only token to GitHub, GitLab, or Bitbucket. No agents in production, no changes to CI, no engineering project to staff.
28%
Of AI suggested dependency upgrades point to versions that do not exist
10K
New security findings per month at one AI heavy enterprise
$670K
Added to average breach cost when shadow AI is involved
