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Advanced Security: APIs, Hunting, and Automation

Learn advanced DevSecOps: test web and API attacks, hunt threats in your logs, automate security response, and secure AI-powered applications.

~3.5 hours
9 Topics
Hands-on Scenarios

What You'll Learn

Understanding What Basic Pipelines Still Miss

A green pipeline tells you the code matches no known bad pattern. It does not tell you the code is safe to expose. It is a Monday morning in Pune.

Testing Web and API Attacks

APIs carry your business logic, so they are where attackers spend their time, and where a simple test with two accounts finds the worst bugs.

Fuzzing APIs and Parsers

Fuzzing finds the inputs nobody thought to test, which is where crashes and denial-of-service bugs hide.

Hunting Threats in Your Logs

Alerts catch what you already know is bad. Hunting finds what you have not thought of yet, before the attacker finishes.

Automating Security Response

Automation turns a ten-minute manual step into a ten-second one, and a wrong automated action into an outage at the same speed.

Securing AI-Powered Applications

An application that sends text to a language model has a new kind of input: text that can change what the program does.

Skills You'll Master

API-SECURITYTHREAT-HUNTINGSECURITY-AUTOMATIONFUZZINGDEVSECOPS

Curriculum Index9 topics

Career Impact

Roles that use the skills in this module.

  • DevSecOps Engineer

    ₹25L - ₹50L a year

    High Demand
  • Security Engineer

    ₹22L - ₹45L a year

    High Demand
  • Platform Engineer

    ₹20L - ₹40L a year

    Very High Demand
See how this is asked in interviews

Practice on the Coding Sheet

Not a software engineer sheet. Every problem comes from real DevOps, SRE, Platform and Cloud interviews, from your first script to a system you build yourself.

Open the Coding Sheet

Frequently Asked Questions

BOLA happens when an API returns an object just because the caller knows its ID, without checking that the object belongs to the caller. It is the number one risk in the OWASP API Security Top 10. The fix is an ownership check on every request, in the data query itself.

Scanners look for code patterns and known vulnerable libraries. An authorization bug is valid code that simply does not ask who is calling. Only a test that uses two different accounts, or a person who understands the business rules, can notice the missing check.

No. A fuzzer sends thousands of malformed and unusual requests, including attempts to create, change, and delete data. Run it against a staging copy with test data, and tell the on-call team before you start.

An alert fires on something you already know is bad. A hunt starts from a question, such as whether one account is reading unusually many orders, and searches your logs for evidence. Good hunts often become new alerts.