TL;DR: AppSec teams spend 40 to 60% of their time investigating duplicate findings across SAST, DAST, and other tools, according to StackHawk. Correlating static and dynamic results turns disconnected alerts into a single exploitable-risk view, which changes triage, prioritisation, and developer trust.
Editorial analysis by NHI Mgmt Group, based on content published by StackHawk: “Stop Choosing Between SAST and DAST—Start Connecting Them”.
By the numbers:
- AppSec teams waste 40-60% of their time on duplicate findings across multiple security tools.
Key questions
Q: How should AppSec teams correlate SAST and DAST findings without creating more process overhead?
A: Start by assigning a single canonical issue identifier across tools, then attach code location, runtime proof, owner, and closure status to that record.
Q: Why does runtime validation change how security findings should be prioritised?
A: Runtime validation shows whether a vulnerability is actually reachable in the deployed application, which is more useful than theoretical severity labels alone.
Q: What are the signs that AppSec findings are not being correlated well?
A: Common signs include duplicate tickets for the same flaw, developers receiving conflicting instructions, long triage cycles, and scan counts that keep rising while fix rates stay flat.
Practitioner guidance
- Standardise on one correlated findings workflow Create a single remediation record for equivalent SAST and DAST results so duplicates do not enter separate queues or receive conflicting ownership.
- Prioritise by runtime exploitability Use DAST validation to separate reachable weaknesses from theoretical code patterns and set the top of the fix queue accordingly.
- Preserve code-level and runtime context together Keep the SAST location, DAST evidence, and disposition in the same ticket so developers can move from triage to fix without manual hunting.
Bottom line: Disconnected AppSec tools create duplicate findings, slower triage, and low confidence in what actually matters.
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Correlation is now an AppSec governance problem, not just a tooling preference. When SAST and DAST operate independently, teams are forced to reconcile duplicated evidence by hand, and that creates a governance bottleneck that is invisible on scan dashboards. The real control gap is not missing detection, it is missing consolidation of evidence into a single exploitable-risk record. For practitioners, the lesson is to govern findings as a lifecycle, not as isolated scanner outputs.
A few things that frame the scale:
- Only 44% of developers are reported to follow security best practices for secrets management, exposing a significant developer behaviour gap, according to the State of Secrets in AppSec.
A question worth separating out:
Q: Why do organisations need both SAST and DAST instead of choosing one approach?
A: Choosing only one leaves a blind spot. SAST is strong at finding source code and dependency issues early, but it struggles with runtime behavior, business logic, and some third-party or environment-based problems. DAST sees the application as an attacker would, but it cannot pinpoint the exact code line. Together they reduce missed vulnerabilities and improve confidence in release decisions.
👉 Read our full editorial: SAST and DAST correlation cuts AppSec triage waste and duplicate findings