With the persistence of security issues in software development, there is an urgent need for software development companies to prioritize security in the software development life cycle. Apart from ...

SDLC wasn’t built for the era of AI. Its rigidity, fixed assumptions, and built-in constraints come at a cost.

Considering the scaling history and trajectory of generative AI models (specifically large language models, or LLMs) specialized for coding, the software development life cycle (SDLC) is ripe for ...

The software development life cycle (SDLC) is the backbone of application development, providing a structured process to ensure quality, functionality and security. Traditional SDLC security ...

When I was a young developer, fresh out of college, application security was not a thing. My degree is in computer science, and I don't even recall a single application security-related course. As a ...

There are mountains of articles on the various software development life cycle methodologies, but nothing beats personal experience. While there may be no single SDLC methodology that fits all ...

Agentic AI has made writing code trivial. We can expect it to improve the remaining 60% to 70% of the developer’s job as well ...

For all the scary talk about cyberattacks from vendors and industry experts, relatively few attacks are actually devastating. But the Jaguar Land Rover (JLR) attack was. The JLR breach wasn’t some ...

Nissy works in two key ways: checking your intent before code is created, and checking all the actions the agent carried out.