Validating DAST Solutions for Enterprise Security
A global financial institution wanted to evaluate Dynamic Application Security Testing (DAST) tools that could monitor both internal and third-party applications for vulnerabilities.
Outcomes
15%
Reduced Incident Response Time
3 week
PoC Cycle
35%
Security Posture Improvement
50%
Faster Threat Detection
Business Problem
The bank’s existing security workflows struggled to detect threats quickly and consistently across its own applications and those of critical third parties. Manual incident response processes increased the potential for human error and delayed resolution.
With growing infrastructure complexity, the institution needed a faster, automated, and centralised way to evaluate and monitor enterprise applications securely.
Challenges
- Delayed Threat Detection: Increased risk of breaches due to slower identification of threats.
- Manual Incident Response: Higher potential for human error and longer resolution times.
- The financial institution wanted to monitor their critical applications and critical third party applications efficiently.
From Idea to Evidence with NayaOne
The financial institution used NayaOne’s secure sandbox to run a controlled proof of concept (PoC) comparing multiple DAST solutions side by side.
- Sandbox Deployment: Integrated DAST vendors into a secure, isolated environment without disrupting live systems.
- Open-Source Benchmarking: Deployed open-source applications with known vulnerabilities to assess tool accuracy and coverage.
- Performance Evaluation: Analysed detection rates, false positives, and response efficiency to identify the best-fit solution.
- Rapid Setup: Two vendor solutions were deployed in under a week, with open-source applications onboarded within days.
- Data-Driven Validation: Captured measurable insights to guide vendor selection and strengthen enterprise security governance.
Impact Metrics
PoC Timeline Reduction
1 week with NayaOne vs 12 months traditionally
Time Saved in Vendor Evaluation
1+ year
Decision Quality
The bank gained hard evidence on detection accuracy, speed, and integration fit - enabling a data-driven vendor choice and faster approval across risk and procurement.
KPIs
- Threat Detection Rate (%): Percentage of vulnerabilities accurately identified during tests.
- False Positive Rate (%): Frequency of incorrect alerts detected by each DAST solution.
- Time to Mitigate (hours): Average duration from detection to resolution.
- Automation Coverage (%): Proportion of scans triggered and resolved automatically.
- Deployment Time (days): Time required to set up and configure each DAST tool within the sandbox.
Validate DAST Solutions Faster
Compare and test multiple DAST vendors in a secure sandbox to strengthen application security, improve detection speed, and reduce operational risk.




