As per the data from DORA Metrics 2025, the average enterprise deploys code 208 times a week. Cloud infrastructure changes and evolves constantly. APIs are added, changed, and phased out daily, not every quarter. In that context, quarterly security scans, a report, and then considering that as the snapshot of risk at a particular moment just isn’t enough. It is not conceptually related to the way that modern software runs.
In the past, when environments were relatively stable and deployments were not that frequent, point-in-time security testing was beneficial. None of those conditions is in play, and if they were, the cost of maintaining such a status quo is measurable, increasing, and mostly unknown within organizations that haven’t yet come to a realization of what that cost is.
What the Exposure Window Actually Looks Like
If a vulnerability occurs between two security scans, one in January and the other in April, then that vulnerability is in a production system for up to three months before it is detected. It’s not a hypothetical situation. This is the reality for organizations that continue to do their primary security validation at quarterly or annual intervals.
NIST published 48,174 CVEs in 2025, which is about 21% more than in 2024, averaging around 131 CVEs per day. Of this number, 61% of vulnerabilities exploited in 2025 were weaponized within 48 hours of publication. Mandiant’s M-Trends 2026 shows that the median dwell time for intrusions detected is 10 days. If an attacker penetrates in February, when it is a quarterly testing period, then during January testing, they will not be detected at all, and the next testing in April will not catch them.
The attacker timeline and the enterprise testing timeline are more and more separated. An attacker is able to exploit vulnerabilities in an average of 19.5 days. The average time it takes for organizations to deploy patches after discovery is 30.6 days. The 11-day exposure period assumes that the vulnerability has been discovered. If it’s periodic, the vulnerabilities that are added in between the tests are not detected until the next test cycle, which can be months apart.
The Hidden Cost Structure of Periodic Testing
How organizations have to account for security investment makes it difficult to understand the financial case for continuous testing. The cost of a periodic penetration test or scan every quarter is visible. The window of vulnerability between scans isn’t necessarily recorded on a budget line until an incident occurs.
The average cost of a data breach in 2025, according to IBM’s Cost of a Data Breach report, is $4.44 million worldwide. That number is not for the prevention of exposure, but for the result of the exposure. On average, organizations that had experienced breaches using security AI/automation saw a saving of $1.9 million per breach. It’s not about the sophistication of initial defenses; it’s about how fast they are able to find and stop problems, and continuous testing does exactly that.
Late problem-solving is also expensive! It will take a lot more time and effort in production to solve a vulnerability than it will to solve it during the development process, and it will cost the organization a lot more in terms of organizational disruption and deployment complexity. As the name suggests, periodic scanning can only detect vulnerabilities once they have made their way through the pipeline and into production.
Why Search Interest in Continuous Testing Is Growing 317%
In March 2026, Gartner officially recognized continuous offensive security testing (COST) as a new security testing category. Google Trends data shows that March 2026 saw a 317% increase in search interest for “continuous security testing” since January 2024. This growth, however, is not fueled by vendor marketing. It shows a real understanding that the frequency of testing necessary to keep up with today’s development pace is not what can be achieved through periodic testing.
First expects about 59,427 CVEs for 2026, which will be the first year it will have more than 50,000. The early number of CVEs submitted in the first three months of 2026 is almost one-third of what it was during the same period in 2025. A majority of the disclosures will be unvalidated, unknown if they impact anything in “live”, and will be made in between testing cycles for organizations that are running quarterly testing cycles.
Bright Security was built to address this gap with a platform that supports ongoing dynamic application security testing throughout the entire SDLC lifecycle, not just a point-in-time assessment. The platform is integrated into development and staging pipelines to continuously test Web applications and APIs using attacker-perspective testing, rather than scheduled testing periods. The outcome is a security posture in tune with the current application, not the one at the time of the latest scan.
This change from scheduled assessments to continuous validation demands a testing engine that is capable of working at development velocity without becoming a bottleneck or generating too many false positive alerts, which cause developers to tune out on security findings altogether.
Bright DAST, the dynamic testing capability at the core of the platform, delivers less than 3% false positives while running continuously against real application behavior. The alerts are verified against the running application and not based on code patterns, meaning that no code or pattern contributes to the continuous cadence to multiply unverified alerts. It generates a steady stream of confirmed, actionable results that development teams can take immediate action on.
What Continuous Testing Changes Operationally
The transition from PIT to continuous testing alters the correlation between security findings and development processes. The shift from point-in-time to continuous testing impacts the correlation between security findings and development processes. If a periodic scan is able to provide results in bulk, remediation comes as an unexpected influx of unplanned work. Dev teams that have transitioned to the next sprint are required to switch context to code they’ve written weeks ago that they haven’t been exposed to. Struggling to organize and communicate is among the problems that exist and are visible in remediation.
If the findings come one after the other, and are consistent with the code changes that produced them, then remediation is done like any other development task. The developer who introduced the vulnerability is usually still involved in the area of the codebase. Context is intact. The fix is more cost-effective, more rapid, and more comprehensible. The decrease in mean time to remediation isn’t due to increased effort from teams; it’s due to the way the workflow is managed.
Point-in-time testing tells organizations where their security posture was on the day the scan ran. In 2026, with 208 deployments per week and 131 new CVEs disclosed daily, that snapshot is obsolete within hours of being taken. The cost of operating on stale security data is not hypothetical. It accumulates continuously between every scan and the next one.
