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Tanya Janca’s talk, “Security Champion Worst Practices”, from NDC Conferences, is now available on YouTube:
🔗 Watch the Talk Here
You Should Know:
Common Security Champion Mistakes & How to Avoid Them
Security Champions play a crucial role in DevSecOps, but common pitfalls can undermine their effectiveness. Below are key takeaways and actionable steps to improve security practices.
1. Lack of Proper Training
Many Security Champions lack structured training, leading to ineffective security reviews.
✅ Solution:
- Enroll in secure coding courses (e.g., OWASP Secure Coding Practices).
- Use Semgrep for automated code reviews:
semgrep --config=p/security-audit ./src
2. Overlooking Threat Modeling
Teams often skip threat modeling, leading to vulnerabilities in design.
✅ Solution:
- Use OWASP Threat Dragon for modeling:
npm install -g owasp-threat-dragon
- Run Microsoft Threat Modeling Tool (Windows):
choco install threatmodelingtool -y
3. Ignoring Dependency Risks
Outdated dependencies introduce security flaws.
✅ Solution:
- Scan dependencies with OWASP Dependency-Check:
dependency-check --scan ./project --out ./report
- Use RenovateBot for auto-updates.
4. Poor Incident Response Plans
Many teams lack a clear incident response strategy.
✅ Solution:
- Draft an incident runbook with predefined commands:
Linux forensic data collection sudo dd if=/dev/sda of=evidence.img bs=4M sudo chmod 600 evidence.img
5. Failing to Measure Success
Without metrics, Security Champions can’t prove impact.
✅ Solution:
- Track vulnerability closure rate:
grep -r "CVE" ./logs | wc -l
- Use DefectDojo for tracking security findings.
What Undercode Say
Security Champions must avoid these worst practices to drive real impact. Automation (Semgrep, Dependency-Check), threat modeling, and structured training are key. Continuous improvement through metrics ensures long-term success.
🔗 Relevant Links:
Prediction
As DevSecOps adoption grows, organizations will increasingly rely on AI-powered security tools to augment Security Champions, reducing manual effort and improving accuracy.
Expected Output:
✅ Structured training
✅ Automated security scanning
✅ Proactive threat modeling
✅ Dependency risk management
✅ Measurable security metrics
References:
Reported By: Tanya Janca – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅


