Complete the cybersecurity course: AI-assisted production security hardening, incident response, and building recurring security practices.
Days 1 through 4 covered the attack landscape, LLM-specific vulnerabilities, threat detection, and automated code review. Day 5 connects all of it into a production security posture: what to audit before you ship, how to use AI for incident response, and how to build a security culture that outlasts any single audit.
Use Claude to generate and execute a comprehensive security checklist specific to your application stack.
You are a senior application security engineer. Audit the following application for production readiness.
Stack: Node.js + Express + PostgreSQL + Claude API + AWS App Runner
Authentication: JWT + Google OAuth
File uploads: yes (multer, S3)
User data: yes (PII)
Generate a prioritized security checklist covering:
1. Authentication and session security
2. Input validation and injection prevention
3. File upload security
4. API security (rate limiting, key management)
5. LLM-specific risks (prompt injection, data leakage)
6. Infrastructure security (AWS IAM, secrets management)
7. Monitoring and incident response
For each item: priority (P0/P1/P2), specific test to verify, pass/fail criteria.When something goes wrong, AI can dramatically accelerate incident response: parsing logs, classifying the attack type, drafting communication, and generating remediation steps.
You are an incident response specialist. Analyze the following logs and triage this security incident.
Application logs (last 2 hours):
[paste log excerpts]
Answer:
1. What type of attack or anomaly is this? (Be specific)
2. What is the estimated impact? (data accessed, accounts affected)
3. Is the attack ongoing or historical?
4. What is the immediate containment action? (be specific to our stack)
5. What forensic evidence should we preserve right now?
6. Draft a brief internal incident notification (for engineering team)
7. Draft a user notification (if PII was potentially exposed)import helmet from 'helmet';
import rateLimit from 'express-rate-limit';
// Security headers
app.use(helmet({
contentSecurityPolicy: {
directives: {
defaultSrc: ["'self'"],
scriptSrc: ["'self'"],
styleSrc: ["'self'", "'unsafe-inline'"],
imgSrc: ["'self'", 'data:', 'https:'],
connectSrc: ["'self'", 'https://api.anthropic.com'],
}
},
hsts: { maxAge: 31536000, includeSubDomains: true, preload: true },
noSniff: true,
xssFilter: true,
referrerPolicy: { policy: 'strict-origin-when-cross-origin' }
}));
// Rate limiting by endpoint sensitivity
const authLimiter = rateLimit({ windowMs: 15 * 60 * 1000, max: 10, message: 'Too many auth attempts' });
const apiLimiter = rateLimit({ windowMs: 60 * 1000, max: 100 });
app.use('/auth', authLimiter);
app.use('/api', apiLimiter);# npm audit — check for known vulnerabilities
npm audit
npm audit --fix # auto-fix compatible updates
# Generate audit report
npm audit --json > security-audit.json
# Snyk (more comprehensive)
npm install -g snyk
snyk auth
snyk test
snyk monitor # continuous monitoring
# Add to CI/CD (GitHub Actions)
# - name: Security Audit
# run: npm audit --audit-level high && npx snyk testOne-time audits don't create secure software — recurring practices do. These are the minimal recurring security practices for a small team:
npm audit and review new CVEs for your dependenciesnpm audit and paste the output into Claude for triageOur in-person AI bootcamp covers advanced AI development, agentic systems, and production deployment. Five cities. $1,490.
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