Google calls the AI fuzz to find vulnerabilities
Not familiar with 'fuzzing'? It's a software testing technique that involves feeding invalid, unexpected, or random data into a program to detect coding errors and security vulnerabilities.
Back in August 2023, Google introduced AI-Powered Fuzzing, using large language models (LLM) to improve fuzzing coverage to find more vulnerabilities automatically -- before malicious attackers could exploit them.
Why fuzzing isn't enough to test your APIs
In today’s fast-paced development environment, a comprehensive API security testing strategy is no longer a luxury, but a necessity. Testing your APIs for security gaps ensures that your APIs functions are reliable, secure, and perform as expected under different circumstances. It helps to identify issues such as incorrect data formats, missing or inaccurate data, and faults in authentication or authorization.
Proper API testing can also help to minimize downtime, reduce the risk of errors, and improve the overall quality of the software system. However, it’s important to note that comprehensive API security testing is a discipline in and of itself.