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FinTech Sikkerhedsløsninger

Dine betalingsdata bliver stjålet 78% af betalingsprocessorer lider under databrud. API-nøgler eksponeret i kildekode lækker transaktionsdata. Svag autentifikation kompromitterer kundekonti. Plexicus sikrer FinTech fra kode til overholdelse.

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

FinTech Angrebsoverflade

Forståelse af det komplette finansielle dataøkosystem og sårbarhedslandskab

Sårbare FinTech-systemer
Kundedata
Kernebank

Mobilapp

PII Exposed
Weak Auth
Local Storage

API Gateway

Broken Auth
Rate Limit
CORS/CSRF

Kernebank

SQL Injection
Unencrypted
Admin Backdoors
Plexicus FinTech Forsvar
Multi-lags sikkerhedskontroller

Kode Scanning

SAST
DAST
API Security
Secrets Detection

Infrastruktur

Cloud Config
K8s Security
Container
Runtime

Overholdelse

PCI DSS
SOC 2
ISO 27001
GDPR

FinTech Sikkerhedsrealitet

Betalingssystembrud

Statistikker relateret til brud i betalingssystemer.

0%
Betalingsprocessorer brudt
0M
Finansielle optegnelser eksponeret (2023)
$0.00M
Gennemsnitlig finansielt brudomkostning
0%
Stigning i FinTech-angreb

Finansiel Indvirkning

Statistikker der fremhæver den finansielle indvirkning af sikkerhedshændelser i FinTech.

$0M
Gennemsnitlig reguleringsbøde
0days
Gennemsnitlig bruddetektionstid
0%
Kundetillidstab
$0M
Gennemsnitligt svindeltab pr. hændelse

Reelle FinTech Sårbarheder

Almindelige sikkerhedsfejl i finansielle applikationer og deres sikre implementeringer

Payment Processing Logic Flaws
Løbsbetingelser og præcisionsproblemer i finansielle beregninger
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
Brudt autentifikation og overdreven dataeksponering i finansielle API'er
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

Automatiseret overholdelsesvalidering for finansielle reguleringer

PCI DSS Compliance
Betalingskortindustriens datasikkerhedsstandard
Firewall Konfiguration
98%
Systemhærdning
94%
Data Kryptering
96%
Sikker Udvikling
92%
95%
Samlet Overholdelse
GDPR Data Protection
Generel Databeskyttelsesforordning
Dataminimering
89%
Samtykkestyring
95%
Ret til Sletning
87%
Data Portabilitet
91%
91%
Samlet Overholdelse
DORA Resilience
Digital Operational Resilience Act
IKT Risikostyring
93%
Hændelsesrapportering
88%
Resiliencetest
85%
Tredjepartsrisiko
90%
89%
Samlet Overholdelse
Real-Time Compliance Monitoring
94.2%
Samlet Overholdelsesscore
24/7
Kontinuerlig Overvågning
Auto
Bevisindsamling

GDPR Databeskyttelse

PII detektion og klassificering for finansielle data

GDPR PII Detektionsresultater
1,247
Scanning fuldført: files analyzed
89
PII-instanser fundet
HIGH RISKKreditkortnumre
• Files: CustomerData.py:5, PaymentForm.js:23
• Pattern: 4532-****-****-9012 (16 forekomster)
• GDPR Artikel 9 (Særlige kategorier)
• Action: Implementer tokenisering
HIGH RISKPersonnumre
• Files: UserProfile.java:45, TestData.sql:89
• Pattern: ***-**-6789 (7 forekomster)
• GDPR Artikel 9 (Særlige kategorier)
• Action: Fjern fra testdata, krypter produktion
MEDIUM RISKEmail-adresser
• Files: Multiple (34 forekomster)
• Pattern: Behandling af persondata
• GDPR Artikel 6 (Lovlighed)
• Action: Implementer samtykkehåndtering
67/89
Automatisk rettelse tilgængelig
22
GDPR Compliance Status
76%
GDPR Compliance
Høj Risiko
23
Mellem Risiko
34
Lav Risiko
32

Data Subject Rights

Ret til Adgang✓ Implementeret
Ret til Berigtigelse✗ Mangler
Ret til Sletning~ Delvis
Ret til Portabilitet✗ Ikke Implementeret

Smart kontrakt sikkerhed

DeFi og blockchain sårbarhedsdetektion

$3.8B
DeFi TVL mistet til hacks
12,847
Smarte kontrakter analyseret
2,341
Kritiske sårbarheder
450+
Beskyttede projekter
Plexicus IDE - Smart Contract Analysis
EXPLORER
contracts
VulnerableVault.sol
SecureVault.sol
Security Analysis
Analyzing...
VulnerableVault.sol
Analyzing smart contract...
Top DeFi Vulnerabilities (2024)
Reentrancy-angreb
Impact: $60M+ • Frequency: 23%
+15%
Integer Overflow
Impact: $45M+ • Frequency: 18%
-8%
Adgangskontrol
Impact: $38M+ • Frequency: 16%
+22%
Prismanipulation
Impact: $52M+ • Frequency: 14%
+31%

Regulatorisk overholdelsesramme

Digital Operational Resilience Act automatisering med kontinuerlig overvågning og evidensindsamling

DORA overholdelsesramme

ICT Risk Management

Aktivliste
Sårbarhedshåndtering
Hændelsesrespons
Automatiseret Bevis

Incident Reporting

Realtidsdetektion
Klassifikation
Påvirkningsvurdering
Regulatorisk Rapportering

Testing & Resilience

Kaos Engineering
Katastrofe Genopretning
Ydelsestest
Forretningskontinuitet

Third-Party Risk

Leverandørvurdering
Kontraktovervågning
SLA Overholdelse
Forsyningskæde Sikkerhed
Article 8
IKT Risikostyring
compliant
Aktivliste
Progress100%
Sårbarhedsstyring
Progress96%
Hændelsesrespons
Progress98%
98%
Compliance Score
Article 17
Hændelsesrapportering
compliant
Realtidsdetektion
Progress98%
Klassifikation
Progress92%
Konsekvensvurdering
Progress95%
95%
Compliance Score
Article 25
Modstandsdygtighedstest
warning
Kaos Engineering
Progress88%
Katastrofeberedskab
Progress95%
Ydelsestest
Progress93%
92%
Compliance Score
Article 28
Tredjepartsrisiko
warning
Leverandørvurdering
Progress91%
Kontraktovervågning
Progress87%
SLA Overholdelse
Progress89%
89%
Compliance Score
DORA overholdelsesdashboard
93.5%
Overordnet DORA parathed
+5.2% denne måned
24/7
Kontinuerlig overvågning
Opdateringer i realtid
Auto
Evidensindsamling
Regulatorisk klar
Next Regulatory Review:Automated Monthly

Real-Time Fraud Detection

Avanceret adfærdsanalyse og transaktionsovervågning

45,678
Transaktioner behandlet
sidste time
23
Genererede svindelalarmer
aktiv
2.1%
Falsk positiv rate
industri: 15%
97.3%
Detektionsnøjagtighed
ML model
Active Fraud Alerts
HØJ RISKAccount 4532****9012
Pattern: Hurtige successive transaktioner
Location: New York → London (umulig rejse)
Amount: $50,000 (10x normalt forbrug)
Action: Transaktion blokeret, konto frosset
MIDDEL RISKAccount 5678****1234
Pattern: Flere små transaktioner
Location: 3 AM (usædvanligt for denne kunde)
Amount: Højrisiko handelskategori
Action: Yderligere verifikation krævet

ML Model Performance

97.3%
Nøjagtighed
94.7%
Præcision
91.2%
Genkaldelse
2h ago
Sidst trænet

DevSecOps for FinTech

Sikker CI/CD pipeline integration

FinTech Sikkerhedspipeline
1

Code Commit

Udvikler skubber kode til repository

completed
< 1s
2

Security Scan

Plexalyzer analyserer kode for sårbarheder

completed
45s
3

Compliance Check

PCI DSS, GDPR, DORA validering

completed
12s
4

Auto-Fix

85% af problemer automatisk løst

completed
8s
5

Deploy

Sikker udrulning til produktion

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%
Sikkerhedsdækning
85%
Automatisk rettede problemer
PCI DSS-kompatibel
✓ Bestået
GDPR-kompatibel
✓ Bestået
DORA-vurdering
I gang

Latest Scan Results

0 kritiske sårbarheder opdaget
2 mellemstore problemer auto-rettet
100% overholdelsesrammer valideret
Udrulning godkendt til produktion

DevSecOps Benefits

Hurtigere implementeringer

Automatiserede sikkerhedstjek reducerer implementeringstiden fra timer til minutter

Forbedret sikkerhed

Hver commit scannes automatisk for sårbarheder og overholdelse

Udvikleroplevelse

Problemfri integration med eksisterende arbejdsprocesser og værktøjer

FinTech Sikkerhedstest

Omfattende sikkerhedsvalidering for finansielle applikationer

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

FinTech applikation sårbarhedsvurdering målrettet følsomme data typer:

Betalingsdata
Kreditkort, bankkonti
PII
SSN, adresser, telefon
Finansiel
Transaktioner, saldi
Overholdelse
PCI DSS, GDPR, DORA
FinTech Sårbarhedsresultater
{
  "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

Omkostninger ved finansiel usikkerhed

Transform your FinTech security costs from reactive expenses to proactive investments

$10K/måned
Automatiseret FinTech sikkerhedsscanning
99% automatiseret
PCI DSS overholdelsesautomatisering
97.3% nøjagtighed
Forbedring af svindelregistrering
85% hurtigere
Regulatorisk forberedelse

Total årlig investering

$120K årlig investering

ROI: 99% omkostningsreduktion, $12.28M besparelser

Transformér din sikkerhedsposition og spar millioner i potentielle brudomkostninger

Kom i gang i dag

Vælg din rolle og kom i gang med Plexicus Container Security. Sikker dine containere fra opbygning til kørsel på få minutter.

DevSecOps Engineers

Opsæt container sikkerhedsscanning med automatiseret politik håndhævelse

Terminal
$ python analyze.py --config=container-security-config.yaml --files=Dockerfile,k8s/,docker-compose.yml --auto

Platform Engineers

API integration for Kubernetes miljøer med overvågning i realtid

Terminal
$ curl -X POST https://api.plexicus.com/receive_plexalyzer_message -H Authorization: Bearer ${PLEXICUS_TOKEN} -H Content-Type: application/json -d {request: create-repo, extra_data: {repository_name: k8s-cluster, environment: production}}

Developers

Lokal container scanning og sårbarhed detektion under udvikling

Terminal
$ python analyze.py --config=docker-config.yaml --files=Dockerfile --output=pretty

Compliance Teams

Overholdelsesrapportering og revisionsspor generation på tværs af rammer

Terminal
$ curl -X POST https://api.plexicus.com/receive_plexalyzer_message -H Authorization: Bearer ${PLEXICUS_TOKEN} -H Content-Type: application/json -d {request: get-enriched-findings, extra_data: {compliance_frameworks: [cis, nist, pci]}}

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