Most security conversations focus on what tools find. Fewer focus on when. But time matters in security just as much as coverage. If your development team ships code every week and your security testing takes three weeks to return results, you are always testing a version of the product that no longer exists in production.

I ran a timing benchmark across four different approaches to external web application pentesting. Same environment, same seeded vulnerabilities, tracked by the same person. Here is what the data showed.

The Setup

The test environment was a production-representative staging app: a SaaS product with multi-role access, a REST API, OAuth2 authentication, and AWS infrastructure. I seeded 12 known vulnerabilities across it. Two critical, three high, four medium, three low. The critical issues were a broken access control in the admin flow and a chained exploit path connecting two endpoints. I tracked four metrics: time to first finding of any severity, time to first high or critical finding, total findings at the 24-hour mark, and which of the two criticals each tool identified.

Traditional Pentest Firm

I used data from two recent engagements at comparable application sizes rather than running a live engagement for this test. The numbers are consistent across both.
Time to first finding after kickoff: three to five business days. This is after the scheduling lead time of two to four weeks. Time to first critical finding: typically day five to seven of the active engagement. Total findings at 24 hours of active testing: three to five documented, with the rest worked through over the following days. Both criticals were found, but at the end of the engagement, not at the start.
Finding quality from experienced testers is high. The timeline is the structural problem.

Enterprise DAST Scanner

Time to first finding: 14 minutes. Time to first high-severity finding: 2 hours 22 minutes. Time to first critical finding: not found within 24 hours. The two seeded criticals were a business logic access control flaw and a chained exploit path. Neither falls into the category of vulnerability that pattern-matching scanners detect. Total findings at 24 hours: 7, mostly medium and low.

Burp Suite Pro with Manual Testing

I had an experienced security engineer run this. Time to first finding: 11 minutes. Time to first critical finding: 4 hours 55 minutes, after manual investigation and targeted testing. The tester found one of the two criticals. The chained exploit path was not identified within the 24-hour window. Total findings: 9. The manual component adds real depth compared to DAST alone, but single-tester bandwidth limits overall coverage.

Astra Autonomous Pentesting

Time to first finding: 8 minutes. Time to first critical finding: 44 minutes. The platform identified the broken access control critical within the first hour and attached proof of exploitation to the finding. The chained exploit path appeared at the 2-hour 50-minute mark, documented with the exact sequence of requests needed to execute it. Total findings at 24 hours: 19, including both seeded criticals and 7 additional issues not in my seeded set.

Putting the Numbers Together

Time to first critical finding, side by side: five to seven days for a traditional firm, not found within 24 hours for the DAST scanner, four hours 55 minutes for Burp with an experienced tester, and 44 minutes for Astra Autonomous Pentesting.

For a team deploying weekly or more frequently, a 44-minute time to critical finding means you test a new deployment, get results, and remediate before the next release. A five-day timeline means you deploy the following week's code before this week's results are back.

Speed alone is not the right metric. Coverage and finding quality matter just as much. But speed determines whether security testing is part of your development loop or separate from it. If you are evaluating tools and the question of testing cadence matters to your team, these numbers are worth factoring into that decision.