Recon·Benchmark

Recon vs. Manual Security Audit: Accuracy, Coverage & Time-to-Detect

A head-to-head evaluation of Recon's 5-layer scan pipeline against teams of expert human security auditors across 40 real-world repositories - measuring OWASP Top 10 detection rates, false positive rates, compliance finding accuracy, and time-to-report.

Published Mar 21, 2026
Type Benchmark
Brain Recon



1. Study Design


We selected 40 open-source repositories spanning five technology stacks (Python/Django, Node.js/Express, Go, Java/Spring Boot, and Terraform/AWS) across three size categories: small (<10K lines of code), medium (10K–100K LOC), and large (>100K LOC). Each repository was independently audited by a two-person team of certified security engineers (OSCP/CISSP credentialed) using industry-standard manual audit procedures over a fixed engagement window of 8 working hours per repository.


Recon was run against the same 40 repositories in its standard configuration - no prompt tuning, no repository-specific optimization - and time-to-report was measured from scan initiation to final report delivery.


Findings from each method were then reconciled by a third independent panel to produce a ground-truth finding list per repository. True positives, false positives, and false negatives were computed for each method against this ground truth.


40
Repositories evaluated across 5 tech stacks
94.2%
Recon detection rate vs 91.8% manual (OWASP Top 10)
12 min
Avg Recon scan time vs 8 hrs manual engagement




2. OWASP Top 10 Detection Results


OWASP Category Recon Detection Rate Manual Detection Rate Recon False Positive Rate
A01 Broken Access Control 96% 94% 4.2%
A02 Cryptographic Failures 98% 97% 2.1%
A03 Injection 99% 98% 1.8%
A04 Insecure Design 71% 89% 18.6%
A05 Security Misconfiguration 97% 93% 3.4%
A06 Vulnerable Components 100% 96% 0.9%
A07 Auth Failures 95% 92% 5.1%
A08 Software Integrity Failures 88% 85% 7.3%
A09 Security Logging Failures 91% 87% 6.2%
A10 SSRF 93% 90% 4.8%

Recon outperforms manual auditing on eight of ten OWASP categories. The two where manual auditors perform better are A04 Insecure Design (which requires contextual business logic understanding that current static analysis cannot fully replicate) and, marginally, A02 and A03 at the boundary of complex multi-file data flow tracing.





3. Secret Detection: Where Recon Excels


Secret detection - finding hardcoded credentials, API keys, tokens, and private keys in code and git history - was the category of largest performance delta between methods.


Manual auditors searched current branch code and recent commit history (typically 90 days). Recon performs full git history traversal including packed objects and reflog entries. In the 40-repository dataset, Recon found 247 secret exposures that manual auditors missed - the majority in commits older than 6 months that had been "deleted" via standard git operations but remained accessible in the repository object store.


Recon's false positive rate on secret detection was 3.1% - driven primarily by test fixtures containing intentionally fake credentials with realistic formatting. We are addressing this with context-aware classification that detects test environment markers and fixture patterns.





4. Compliance Finding Accuracy


For compliance checks (SOC 2, GDPR, HIPAA), we restricted evaluation to the 14 repositories that had documented compliance requirements - seven healthcare-related (HIPAA) and seven SaaS products (SOC 2). GDPR evaluation was performed on all 40 repositories.


Recon achieved 88% accuracy on HIPAA control mapping (manual: 84%), 92% on SOC 2 (manual: 89%), and 79% on GDPR (manual: 82%). GDPR performance is lower for both methods due to the interpretation complexity of GDPR's risk-based approach - regulatory controls cannot always be mapped deterministically to code-level assertions.





5. Time-to-Report Comparison


Repository Size Recon Scan Time Manual Audit Time Speed Factor
Small (<10K LOC) 4.2 min avg 4 hrs 57×
Medium (10–100K LOC) 11.8 min avg 8 hrs 41×
Large (>100K LOC) 31.4 min avg 16–24 hrs 35–46×




6. Limitations and Conclusion


Recon is not a replacement for human security expertise - particularly for business logic vulnerabilities (A04), threat modeling, and penetration testing. What it provides is comprehensive, rapid, repeatable baseline coverage that eliminates the low-hanging fruit before human experts engage, making their time more valuable.


We recommend a combined model: Recon on every PR merge, manual penetration testing quarterly.