DevOps.com: API Security by Design
Achieving API security starts with the design and architecture, so jumping in and writing code immediately is a mistake. Unfortunately, starting with a completely blank slate is unusual, and some code will likely already exist. In that case, it is especially important that the design makes provisions for possible weaknesses.
If you want secure APIs, then ensure that everyone working on the project – architects, developers, testers and so on – are “very security savvy,” said Madou...
Govern AI-driven development before it ships
Measure AI-assisted risk, enforce secure coding policy at commit, and accelerate secure delivery across your SDLC.
Explore more articles
Access expert content on secure coding, AI governance, and software risk management.
Forbes: A New Frontier: NSA Proposes “Security By Design” Considerations For AI Enablement
The cybersecurity industry, which has been advocating for “security by design” principles for more than a decade, stands in wide-eyed amazement at the risks posed by artificial intelligence (AI). As organizations rush to embrace AI enablement, a CISO’s most pressing priority is to avoid becoming a roadblock. However, without effective AI usage and governance, observability and traceability, organizations may be blindsided by their AI risk.
Techpartner.news: Secure Code Warrior introduces framework to govern AI use in software development
Secure Code Warrior has introduced the SCW AI Adoption Model, a framework designed to help organisations govern AI use in software development as the industry shifts from the traditional software development lifecycle (SDLC) toward what the company calls the Agentic Development Lifecycle (ADLC).
DevOps.com: Are LLMs Equally Good (or Bad) at Building Secure Software?
With many software engineering teams moving from AI coding assistants into full agentic AI code generation and increasing the amount of code they produce exponentially, ensuring the security of that code must be a top priority. The study produces practical guidance for organizations that are getting on board the AI-assisted or agentic code development train.
Secure AI-driven development before it ships
See developer risk, enforce policy, and prevent vulnerabilities across your software development lifecycle.
