Research report
Security debt: the quiet risk on the balance sheet
Unpatched systems behave like unpaid loans: the interest compounds. A way to measure the exposure, and a plan for paying it down.

About the research
Known weaknesses, left unpaid
Security debt is the backlog of known weaknesses an organization has chosen, or forgotten, not to fix. Like financial debt it carries interest: every month a weakness stays open, it becomes more expensive to fix and more likely to be used against you.
We analyzed 52 security assessments KIASA carried out between 2023 and 2026, at organizations of 300 to 12,000 people, and interviewed 30 security leaders about how they decide what to fix and what to leave.
Most organizations track their weaknesses as a list. Few treat them as a liability with a size, an owner and a repayment plan. This report suggests a way to do that.
The headline numbers
The size of the debt
- 96 days
- Median time to patch a critical weakness on a system reachable from the internet.
- 38%
- Estates running at least one internet-facing component past the end of its vendor support.
- 3.4x
- Cost of fixing a weakness after a year, compared with fixing it within 30 days.
- 11%
- Share of known weaknesses that accounted for 80% of the measured exposure.
KIASA analysis of 52 security assessments, 2023 to 2026, and interviews with 30 security leaders.
A list is not a liability
Every organization we assessed had a list of known weaknesses. The median list ran to more than 1,400 items. What almost none had was a way to say how much risk the list represented in total, whether it was growing or shrinking, and who was responsible for bringing it down. A list of 1,400 items does not get discussed by a board. A liability with a number does.
How the interest compounds
A weakness left open does not stay the same size. The software around it moves on, so the eventual fix touches more. The people who understood the system leave. The vendor ends support, and a simple patch becomes an upgrade project. Meanwhile the weakness becomes better known to attackers, and the tools that exploit it become cheaper.
3.4xHow much more it cost to fix a weakness after twelve months than within 30 days, across the assessments we analyzed.
Compensating controls, the firewall rule or extra monitoring added instead of a fix, are the minimum payments of security debt. They keep the account in good standing but do not reduce the balance, and each one adds to what the operations team must remember.
“We were paying interest on decisions nobody remembered making. Once we put a number on it, the conversation with the board changed in a single meeting.”
Measuring the debt
We score each known weakness on three things: how severe it is, how exposed the system is, and how long it has been open. Multiplied together and summed across the estate, they give a single figure that can be tracked month by month. It is not a prediction of loss. It is a measure of how much risk is being carried, and whether it is going up or down.
The figure is lopsided. In the median estate, 11% of weaknesses accounted for 80% of the score. Most were on internet-facing systems, and many were on components past their vendor's end of support. That is good news: a small, well-chosen effort removes most of the exposure.

Paying it down
The organizations that reduced their debt fastest did not run large one-off programs. They set aside a fixed share of engineering capacity, typically 10 to 15%, for repayment every sprint, and they stopped adding new debt by making security fixes part of the definition of done.
- Make an inventory of every system, its owner and its exposure to the internet.
- Score the debt and report it monthly, by system and by owner.
- Repay the most exposed 11% first, starting with anything past end of support.
- Reserve a fixed share of every team's capacity for repayment.
- Stop new borrowing: no release ships with a known critical weakness.
Security debt will never reach zero, and it does not have to. The aim is a balance that is known, owned and falling, in the same way a sensible business manages any other liability.
Key findings
Five findings from 52 assessments
Critical fixes take months, not days
The median time to patch a critical weakness on an internet-facing system was 96 days. The fastest quarter of organizations did it in under 14.
End of support is the largest single source of debt
38% of estates ran at least one internet-facing component that its vendor no longer supports. Each one turns routine patching into an upgrade project.
Delay multiplies cost
Fixing a weakness after twelve months cost 3.4 times as much as fixing it within 30 days, measured in engineering hours, testing and change effort.
A few weaknesses carry most of the risk
In the median estate, 11% of known weaknesses accounted for 80% of the exposure score. Fixing them first reduced measured exposure fastest.
Steady repayment beats big programs
Organizations that reserved 10 to 15% of capacity for repayment halved their exposure score within a year. One-off programs cut it faster at first, then let it grow back.
A repayment plan
Five steps to pay down security debt
Take stock
List every system, its owner and whether it can be reached from the internet.
Put a number on it
Score each weakness by severity, exposure and age, and add them up.
Repay the expensive debt first
Fix the most exposed tenth, starting with components past end of support.
Budget for repayment
Reserve 10 to 15% of each team's capacity for fixes, every sprint.
Stop new borrowing
Make security fixes part of the definition of done, so new releases add no debt.
Authors
The research team
Hamid Rezaei
Partner, Cybersecurity
Hamid leads KIASA's security assessments and the teams that fix what they find.
Clara Mendes
Principal Security Engineer
Clara designed the exposure score used throughout this report.
Aiko Tanaka
Director of Research
Aiko ran the interviews with 30 security leaders.
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