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AI that reads code like a senior engineer.

NACA AI reviews every line for quality, performance, security, and compliance — surfacing what a manual review would miss, with prioritized findings and ready-to-act remediation.

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OWASP Top 10 · Security standards

Multi-language · Python / Java / C# / JS

Audit-ready · Compliance-formatted output

What NACA reviews

Six dimensions. Every commit.

NACA does not sample. It reads the full codebase, across every dimension simultaneously, and returns findings ranked by severity.

01

Performance Analysis

Identify memory leaks, resource waste, and CPU bottlenecks before they reach production.

02

Code Quality Review

Cut duplication, reduce cyclomatic complexity, and strengthen error handling across the codebase.

03

Security Scanning

Detect injection flaws, weak authentication, exposed credentials, and OWASP Top 10 vulnerabilities.

04

Developer Habit Review

Surface unused imports, null pointer risks, and common anti-patterns that accumulate over time.

05

Severity Prioritization

Findings ranked Critical, High, Medium, Low — with targeted remediation guidance at each level.

06

Audit-Ready Reports

Every finding includes exact file and line references, formatted for compliance and governance review.

Coverage

What NACA covers.

Languages, frameworks, and compliance standards supported out of the box.

Languages

Python
Java
C#
JavaScript
Go
TypeScript

Frameworks

React
Spring Boot
.NET
Express
Laravel
Django

Standards

OWASP Top 10
OJK guidelines
PDP Law aligned
PCI DSS

Where NACA fits

Integrated across your delivery pipeline.

NACA is not a one-off scan. It sits inside the development lifecycle, reviewing code continuously from commit to audit.

Commit

Push triggers analysis

NACA analyzes every push. Findings surface immediately — not after deployment.

Review

Risk visible before approval

Pull request checks include NACA findings inline. Reviewers see risk before approving.

Audit

Traceable compliance record

Quarterly compliance audits reference NACA reports. Every finding is dated, cited, and traceable.

Live demo

NACA AI findings, in context.

Each file is reviewed across all six dimensions simultaneously. Findings are ranked by severity, cited by line, and paired with targeted remediation.

naca.nalaevo.co.id — analysis: payment-service/src/PaymentController.java

2 Critical

3 High

5 Medium

8 Low

Scanned 847 lines · 3 dimensions flagged

41 public ResponseEntity processPayment(PaymentRequest req) {

42 String userId = req.getParam("userId");

43 String sql = "SELECT * FROM payments WHERE user=" + userId;

CRITICAL · SQL Injection · CWE-89

44 List<Payment> results = db.query(sql);

45 logger.info("Processing: " + req.toString());

HIGH · Sensitive data in logs · CWE-532

46 if (results.isEmpty()) return ResponseEntity.notFound().build();

47 return ResponseEntity.ok(results.get(0));

48 }

CRITICAL — Line 43 CWE-89

SQL Injection vulnerability

Raw user input concatenated directly into SQL string. An attacker can manipulate the query to access or delete any record in the payments table.

REMEDIATION

// Replace with prepared statement:

String sql = "SELECT * FROM payments WHERE user=?";

db.query(sql, userId);

OTHER FINDINGS

Sensitive data in logs L45

No input validation L42

Unhandled exception path L44

Above: NACA AI flagging a critical SQL injection and a sensitive data leak in a Java payment controller — with CWE references and inline remediation.

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