cybersécuritéauditconformitérgpddevsecops
Cybersecurity Augmented by AI Skills
Cybersecurity is a field where rigor is non-negotiable. AI skills do not replace human expertise, but they standardize verifications and reduce oversights that lead to vulnerabilities.
Skills for Security Auditing
The Code Audit Skill
An audit skill systematically analyzes code for vulnerabilities:
## Security Audit Skill
For each code review, check:
### Injection
- SQL injection: parameterized queries mandatory
- XSS: HTML output escaping
- Command injection: system input validation
- Path traversal: file path normalization
### Authentication
- Passwords hashed (bcrypt, argon2)
- Tokens with expiration
- Rate limiting on auth endpoints
- Brute force protection
### Sensitive Data
- No secrets in source code
- Encryption of data at rest
- TLS for data in transit
- Logs without personal data
The Dependency Scan Skill
## Dependency Security
Before each deployment:
1. Scan dependencies with npm audit
2. Check critical and high CVEs
3. Propose updates for vulnerable packages
4. Document accepted risks with justification
Skills for Compliance
GDPR
## GDPR Compliance Skill
For any personal data processing:
- Verify the legal basis (consent, legitimate interest, etc.)
- Implement the right to be forgotten
- Document processing in the registry
- Minimize data collection
- Encrypt sensitive data
- Plan for data portability
SOC 2
## SOC 2 Compliance
Security standards to follow:
- Logging all access
- Role-based access control (RBAC)
- AES-256 encryption for data at rest
- Quarterly security audits
- Documented incident response plan
- Tested backup and recovery
PCI DSS (for payments)
## PCI DSS Standards
For any code handling payment data:
- Never store CVVs
- Card number tokenization
- Segmented network for payment systems
- Card data access logging
- Annual penetration testing
Skills for Threat Detection
Log Analysis
## Threat Detection Skill
Suspicious patterns in logs:
- Multiple login attempts from the same IP
- Admin endpoint access from unknown IPs
- Abnormal request spikes (potential DDoS)
- Scraping patterns (rapid sequential access)
- Attempts to access sensitive files (.env, .git)
Incident Response
## Incident Response Procedure
In case of a security incident:
1. Identify and isolate the threat
2. Assess impact and scope
3. Contain the incident (cut compromised access)
4. Collect evidence (logs, snapshots)
5. Eradicate the root cause
6. Restore services
7. Document and conduct post-mortem
8. Communicate to stakeholders
Integration in the DevSecOps Workflow
The Secure Pipeline
Security skills integrate into every development stage:
- Code: Active code audit skill during development
- Commit: Pre-commit verification (no secrets, no vulnerabilities)
- Build: Dependency scan and static analysis
- Test: Automated security tests
- Deploy: Configuration verification and hardening
- Monitor: Production anomaly detection
Automation with Skills
## DevSecOps Workflow
Before each commit:
- Verify no secrets in the diff
- Scan new dependencies
- Validate security configurations
Before each merge:
- Automatic security review
- Security edge case testing
- Compliance verification
Certifications and Skills
Skills can help prepare and maintain security certifications:
- ISO 27001: Information security management
- SOC 2: Service organization controls
- GDPR: Personal data protection
- PCI DSS: Payment security
For each certification, a dedicated skill reminds requirements and checks code compliance.
Conclusion
Cybersecurity is too critical to depend on human memory. AI skills create an automated safety net that systematically checks best practices, compliance, and potential vulnerabilities.
Explore our security skills library and our detailed guides to strengthen your projects' security.