Today’s discussions on AI are often affected by emotions like fear and awe, as well as the fact that AI is reduced to large language models (LLM) — but this isn’t the entire story. So, let’s step back from these fears and dig into the data explaining why AI is richer than LLMs.
As we go about our daily lives, whether that be shopping with the family, enjoying dinner at a restaurant, finding our gate at the airport, or even watching TV, we find ourselves more and more often encountering the QR code.
Here’s an existential question: is technology always the answer? Or are there other ways to solve our biggest problems?
Learn more about the various sources of exposed secrets beyond source code repositories. From CI/CD systems to container images, runtime environments to project management tools, uncover the risks associated with storing secrets in these sources.
Technology has greatly transformed the automotive industry, bringing both advancements and new challenges. The reliance on connectivity and software in cars has opened the door to cyber threats, making cybersecurity a crucial concern for the automobile industry. With the increasing complexity of modern cars, there are now around 150 Electronic Control Units (ECUs) and an astonishing 100 million lines of code. Even simple functions like opening car windows require multiple software systems.
If you’re starting your SASE evaluation journey, Gartner is here to assist. In a new helpful guide, they delineate how organizations can build their SASE strategy and shortlist vendors. In this blog post, we bring a short recap of their analysis. You can read the entire document here.
