How is generative AI transforming trust? And what does it mean for companies — from startups to enterprises — to be trustworthy in an increasingly AI-driven world?
How can developers use AI securely in their tooling and processes, software, and in general? Is AI a friend or foe? Read on to find out.
Artificial intelligence (AI) has seamlessly woven itself into the fabric of our digital landscape, revolutionizing industries from healthcare to finance. As AI applications proliferate, the shadow of privacy concerns looms large. The convergence of AI and privacy gives rise to a complex interplay where innovative technologies and individual privacy rights collide.
“Not another AI tool!” Yes, we hear you. Nevertheless, AI is here to stay and generative AI coding tools, in particular, are causing a headache for security leaders. We discussed why recently in our Why you need a security companion for AI-generated code post. Purchasing a new security tool to secure generative AI code is a weighty consideration. It needs to serve both the needs of your security team and those of your developers, and it needs to have a roadmap to avoid obsolescence.