What are some advanced techniques for vulnerability scanning?
Advanced vulnerability scanning techniques include dynamic application security testing, machine learning-based analysis, and continuous scanning.
Can you explain dynamic application security testing?
Dynamic Application Security Testing (DAST) involves testing running applications for vulnerabilities by simulating attacks.
How does machine learning improve vulnerability scanning?
Machine learning enhances vulnerability scanning by identifying patterns in data, predicting potential vulnerabilities, and reducing false positives.
What tools are recommended for these techniques?
Some recommended tools include OWASP ZAP for DAST, Nessus for comprehensive scanning, and Snyk for open-source vulnerability management.
Are there any best practices for implementing these techniques?
Yes, best practices include regular updates, integrating scanning into CI/CD pipelines, and prioritizing vulnerabilities based on risk.
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