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FinTech Security Solutions

Your Payment Data is Getting Stolen 78% of payment processors suffer data breaches. API keys exposed in source code leak transaction data. Weak authentication compromises customer accounts. Plexicus secures FinTech from code to compliance.

PLEXICUS BANK
DEBIT
CHIP ENABLED
SECURE
4532 •••• •••• 9012
VALID THRU
12/28
JOHN ***
78% processors breached
API keys exposed
Weak authentication

FinTech Attack Surface

Understanding the complete financial data ecosystem and vulnerability landscape

Vulnerable FinTech Systems
Customer Data
Core Banking

Mobile App

PII Exposed
Weak Auth
Local Storage

API Gateway

Broken Auth
Rate Limit
CORS/CSRF

Core Banking

SQL Injection
Unencrypted
Admin Backdoors
Plexicus FinTech Defense
Multi-Layer Security Controls

Code Scan

SAST
DAST
API Security
Secrets Detection

Infrastructure

Cloud Config
K8s Security
Container
Runtime

Compliance

PCI DSS
SOC 2
ISO 27001
GDPR

FinTech Security Reality

Payment System Breaches

Statistics related to breaches in payment systems.

0%
Payment processors breached
0M
Financial records exposed (2023)
$0.00M
Average financial breach cost
0%
Increase in FinTech attacks

Financial Impact

Statistics highlighting the financial impact of security incidents in FinTech.

$0M
Average regulatory fine
0days
Average breach detection time
0%
Customer trust loss
$0M
Average fraud loss per incident

Real FinTech Vulnerabilities

Common security flaws in financial applications and their secure implementations

Payment Processing Logic Flaws
Race conditions and precision issues in financial calculations
BEFOREAFTER
secure-payment.js
✅ SECURE CONFIGURATION
1// ✅ Secure payment processing code
2async function processPaymentSecure(amount, accountId) {
3 // Use database transaction with locking
4 return await db.transaction(async (trx) => {
5 // Lock account row to prevent race conditions
6 const account = await trx('accounts')
7 .where('id', accountId)
8 .forUpdate()
9 .first();
10
11 if (!account || account.balance < amount) {
12 throw new Error("Insufficient funds");
13 }
14
15 // Atomic balance update
16 await trx('accounts')
17 .where('id', accountId)
18 .decrement('solution-pages.fintech.balance', amount);
19
20 return await processTransactionSecure(amount, trx);
21 });
22}
23 
24// ✅ Safe integer calculation with bounds checking
25function calculateInterestSecure(principal, rate, time) {
26 // Validate inputs and check for overflow
27 if (principal > Number.MAX_SAFE_INTEGER / rate / time) {
28 throw new Error("Calculation would overflow");
29 }
30 return Math.floor(principal * rate * time * 100) / 100;
31}
32 
33// ✅ Fixed-point arithmetic for financial calculations
34function transferAmountSecure(from, to, amount) {
35 // Use cents to avoid floating point issues
36 const amountCents = Math.round(amount * 100);
37 const feeCents = Math.round(amountCents * 0.1);
38 const netAmountCents = amountCents - feeCents;
39
40 return {
41 amount: amountCents / 100,
42 fee: feeCents / 100,
43 netAmount: netAmountCents / 100
44 };
45}
Lines: 45Security: PASSED
vulnerable-payment.js
❌ VULNERABLE CONFIGURATION
1// ❌ Vulnerable payment processing code
2function processPayment(amount, accountId) {
3 // Race condition vulnerability
4 const balance = getAccountBalance(accountId);
5 if (balance >= amount) {
6 // Time-of-check to time-of-use gap
7 sleep(100); // Simulating network delay
8 deductFromAccount(accountId, amount);
9 return processTransaction(amount);
10 }
11 throw new Error("Insufficient funds");
12}
13 
14// ❌ Integer overflow in calculation
15function calculateInterest(principal, rate, time) {
16 return principal * rate * time; // No overflow check
17}
18 
19// ❌ Precision issues with floating point
20function transferAmount(from, to, amount) {
21 const fee = amount * 0.1; // Floating point arithmetic
22 const netAmount = amount - fee;
23 // Could result in: 10.00 - 1.00 = 8.999999999999998
24}
Lines: 24Security: FAILED

VULNERABLE

Security Issues:HIGH
Risk Level:CRITICAL

SECURED

Security Issues:NONE
Risk Level:LOW
API Security Disasters
Broken authentication and excessive data exposure in financial APIs
BEFOREAFTER
secure-banking-api.yaml
✅ SECURE CONFIGURATION
1# ✅ Secure API configuration
2openapi: "3.0.0"
3info:
4 title: Banking API
5 version: "1.0.0"
6security:
7 - BearerAuth: []
8 - ApiKeyAuth: []
9paths:
10 /api/accounts/{accountId}/balance:
11 get:
12 parameters:
13 - name: accountId
14 in: path
15 required: true
16 schema:
17 type: string
18 format: uuid # Use UUIDs instead of sequential IDs
19 pattern: '^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$'
20 security:
21 - BearerAuth: []
22 - ApiKeyAuth: []
23 responses:
24 '200':
25 description: Account balance (sanitized)
26 content:
27 application/json:
28 schema:
29 type: object
30 properties:
31 availableBalance:
32 type: string # Masked balance range
33 example: "$1,000 - $5,000"
34 accountMask:
35 type: string # Masked account number
36 example: "****-****-****-1234"
37 # No PII or sensitive data exposed
Lines: 37Security: PASSED
vulnerable-banking-api.yaml
❌ VULNERABLE CONFIGURATION
1# ❌ Vulnerable API configuration
2openapi: "3.0.0"
3info:
4 title: Banking API
5 version: "1.0.0"
6paths:
7 /api/accounts/{accountId}/balance:
8 get:
9 parameters:
10 - name: accountId
11 in: path
12 required: true
13 schema:
14 type: string # No format validation
15 security: [] # No authentication required
16 responses:
17 '200':
18 description: Account balance
19 content:
20 application/json:
21 schema:
22 type: object
23 properties:
24 balance:
25 type: number # Exposes exact balance
26 accountNumber:
27 type: string # Sensitive data exposure
28 ssn:
29 type: string # PII exposure
30 creditScore:
31 type: integer # Sensitive financial data
Lines: 31Security: FAILED

VULNERABLE

Security Issues:HIGH
Risk Level:CRITICAL

SECURED

Security Issues:NONE
Risk Level:LOW

Compliance Automation

Automated compliance validation for financial regulations

PCI DSS Compliance
Payment Card Industry Data Security Standard
Firewall Configuration
98%
System Hardening
94%
Data Encryption
96%
Secure Development
92%
95%
Overall Compliance
GDPR Data Protection
General Data Protection Regulation
Data Minimization
89%
Consent Management
95%
Right to Erasure
87%
Data Portability
91%
91%
Overall Compliance
DORA Resilience
Digital Operational Resilience Act
ICT Risk Management
93%
Incident Reporting
88%
Resilience Testing
85%
Third-Party Risk
90%
89%
Overall Compliance
Real-Time Compliance Monitoring
94.2%
Overall Compliance Score
24/7
Continuous Monitoring
Auto
Evidence Collection

GDPR Data Protection

PII detection and classification for financial data

GDPR PII Detection Results
1,247
Scan completed: files analyzed
89
PII instances found
HIGH RISKCredit Card Numbers
• Files: CustomerData.py:5, PaymentForm.js:23
• Pattern: 4532-****-****-9012 (16 instances)
• GDPR Article 9 (Special categories)
• Action: Implement tokenization
HIGH RISKSocial Security Numbers
• Files: UserProfile.java:45, TestData.sql:89
• Pattern: ***-**-6789 (7 instances)
• GDPR Article 9 (Special categories)
• Action: Remove from test data, encrypt production
MEDIUM RISKEmail Addresses
• Files: Multiple (34 instances)
• Pattern: Personal data processing
• GDPR Article 6 (Lawfulness)
• Action: Implement consent management
67/89
Auto-Fix Available
22
GDPR Compliance Status
76%
GDPR Compliance
High Risk
23
Medium Risk
34
Low Risk
32

Data Subject Rights

Right to Access✓ Implemented
Right to Rectification✗ Missing
Right to Erasure~ Partial
Right to Portability✗ Not Implemented

Smart Contract Security

DeFi and blockchain vulnerability detection

$3.8B
DeFi TVL Lost to Hacks
12,847
Smart Contracts Analyzed
2,341
Critical Vulnerabilities
450+
Projects Protected
Plexicus IDE - Smart Contract Analysis
EXPLORER
contracts
VulnerableVault.sol
SecureVault.sol
Security Analysis
Analyzing...
VulnerableVault.sol
Analyzing smart contract...
Top DeFi Vulnerabilities (2024)
Reentrancy Attacks
Impact: $60M+ • Frequency: 23%
+15%
Integer Overflow
Impact: $45M+ • Frequency: 18%
-8%
Access Control
Impact: $38M+ • Frequency: 16%
+22%
Price Manipulation
Impact: $52M+ • Frequency: 14%
+31%

Regulatory Compliance Framework

Digital Operational Resilience Act automation with continuous monitoring and evidence collection

DORA Compliance Framework

ICT Risk Management

Asset Inventory
Vulnerability Mgmt
Incident Response
Automated Evidence

Incident Reporting

Real-time Detection
Classification
Impact Assessment
Regulatory Reporting

Testing & Resilience

Chaos Engineering
Disaster Recovery
Performance Testing
Business Continuity

Third-Party Risk

Vendor Assessment
Contract Monitoring
SLA Compliance
Supply Chain Security
Article 8
ICT Risk Management
compliant
Asset Inventory
Progress100%
Vulnerability Management
Progress96%
Incident Response
Progress98%
98%
Compliance Score
Article 17
Incident Reporting
compliant
Real-time Detection
Progress98%
Classification
Progress92%
Impact Assessment
Progress95%
95%
Compliance Score
Article 25
Resilience Testing
warning
Chaos Engineering
Progress88%
Disaster Recovery
Progress95%
Performance Testing
Progress93%
92%
Compliance Score
Article 28
Third-Party Risk
warning
Vendor Assessment
Progress91%
Contract Monitoring
Progress87%
SLA Compliance
Progress89%
89%
Compliance Score
DORA Compliance Dashboard
93.5%
Overall DORA Readiness
+5.2% this month
24/7
Continuous Monitoring
Real-time updates
Auto
Evidence Collection
Regulatory ready
Next Regulatory Review:Automated Monthly

Real-Time Fraud Detection

Advanced behavioral analytics and transaction monitoring

45,678
Transactions Processed
last hour
23
Fraud Alerts Generated
active
2.1%
False Positive Rate
industry: 15%
97.3%
Detection Accuracy
ML model
Active Fraud Alerts
HIGH RISKAccount 4532****9012
Pattern: Rapid successive transactions
Location: New York → London (impossible travel)
Amount: $50,000 (10x normal spending)
Action: Transaction blocked, account frozen
MEDIUM RISKAccount 5678****1234
Pattern: Multiple small transactions
Location: 3 AM (unusual for this customer)
Amount: High-risk merchant category
Action: Additional verification required

ML Model Performance

97.3%
Accuracy
94.7%
Precision
91.2%
Recall
2h ago
Last Retrained

DevSecOps for FinTech

Secure CI/CD pipeline integration

FinTech Security Pipeline
1

Code Commit

Developer pushes code to repository

completed
< 1s
2

Security Scan

Plexalyzer analyzes code for vulnerabilities

completed
45s
3

Compliance Check

PCI DSS, GDPR, DORA validation

completed
12s
4

Auto-Fix

85% of issues automatically resolved

completed
8s
5

Deploy

Secure deployment to production

in-progress
2m 15s

Pipeline Status

Build #1247 - Deployment in progress

3m 20s
Total Runtime
Pipeline Configuration
# .github/workflows/fintech-security.yml
name: FinTech Security Pipeline

on:
  push:
    branches: [main, develop]
  pull_request:
    branches: [main]

jobs:
  security-scan:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      
      - name: Security Scan with Plexalyzer
        run: |
          python analyze.py --config=fintech-security-config.yaml \
            --auto --output=sarif
      
      - name: Upload to Plexicus Platform
        run: |
          curl -X POST "https://api.plexicus.com/receive_plexalyzer_message" \
            -H "Authorization: Bearer ${{ secrets.PLEXICUS_TOKEN }}" \
            -H "Content-Type: application/json" \
            -d '{
              "request": "create-repo",
              "request_id": "github-${{ github.run_id }}",
              "extra_data": {
                "repository_name": "${{ github.repository }}",
                "branch": "${{ github.ref_name }}",
                "compliance_frameworks": ["pci-dss", "gdpr", "dora"]
              }
            }'
Security Metrics
94%
Security Coverage
85%
Auto-Fixed Issues
PCI DSS Compliant
✓ Passed
GDPR Compliant
✓ Passed
DORA Assessment
In Progress

Latest Scan Results

0 critical vulnerabilities detected
2 medium issues auto-fixed
100% compliance frameworks validated
Deployment approved for production

DevSecOps Benefits

Faster Deployments

Automated security checks reduce deployment time from hours to minutes

Enhanced Security

Every commit is automatically scanned for vulnerabilities and compliance

Developer Experience

Seamless integration with existing workflows and tools

FinTech Security Testing

Comprehensive security validation for financial applications

FinTech Security Scan
curl -X POST "https://api.plexicus.com/receive_plexalyzer_message" \
  -H "Authorization: Bearer ${PLEXICUS_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{

FinTech application vulnerability assessment targeting sensitive data types:

Payment Data
Credit cards, bank accounts
PII
SSN, addresses, phone
Financial
Transactions, balances
Compliance
PCI DSS, GDPR, DORA
FinTech Vulnerability Results
{
  "data": [
    {
      "id": "finding-fintech-001",
      "type": "finding",
      "attributes": {
        "title": "Race Condition in Payment Processing",
        "description": "Time-of-check to time-of-use vulnerability in payment logic",
        "severity": "critical",
        "file_path": "src/payment/PaymentProcessor.js",
        "original_line": 23,
        "tool": "semgrep",
        "cve": "CWE-362",
        "cvssv3_score": 9.1,
        "false_positive": false,
        "remediation_notes": "Implement database-level locking for atomic operations"
      }
    },
    {
      "id": "finding-fintech-002",
      "type": "finding",
      "attributes": {
        "title": "Credit Card Number in API Response",
        "description": "Full credit card number exposed in API response",
        "severity": "critical",
        "file_path": "src/api/AccountController.java",
        "original_line": 156,
        "tool": "checkmarx",
        "cve": "CWE-359",
        "cvssv3_score": 8.8,
        "false_positive": false,
        "remediation_notes": "Implement PCI DSS compliant data masking"
      }
    }
  ],
  "meta": {
    "total_findings": 89,
    "critical": 12,
    "high": 23,
    "medium": 31,
    "low": 23
  }
}
12
Critical
23
High
31
Medium
23
Low

Cost of Financial Insecurity

Transform your FinTech security costs from reactive expenses to proactive investments

$10K/month
Automated FinTech security scanning
99% automated
PCI DSS compliance automation
97.3% accuracy
Fraud detection improvement
85% faster
Regulatory preparation

Total Annual Investment

$120K annual investment

ROI: 99% cost reduction, $12.28M savings

Transform your security posture and save millions in potential breach costs

Get Started Today

Choose your role and get started with Plexicus Container Security. Secure your containers from build to runtime in minutes.

FinTech CTOs

Setup repository for compliance monitoring

Terminal
$ python analyze.py --config=executive-dashboard-config.yaml --repository_id=${REPO_ID} --auto

Payment Security Teams

Run comprehensive financial security scan

Terminal
$ python analyze.py --config=payment-security-config.yaml --files=payment/,billing/,transaction/ --output=json

DeFi Developers

Scan smart contracts and DeFi protocols

Terminal
$ python analyze.py --config=blockchain-config.yaml --files=contracts/,defi/ --output=sarif

DevSecOps Teams

Integrate into CI/CD pipeline

Terminal
$ python analyze.py --config=cicd-integration-config.yaml --auto --webhook=${WEBHOOK_URL}

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