Web applications often handle vast amounts of data, from personal user details to sensitive corporate information. As these applications grow in complexity and importance, they also become primary ...

The first industry standard for Large language models (LLMs) marks a turning point that could critically impact the adoption of LLMs in business environments. This effort was not led by generative AI ...

Sensitive information disclosure via large language models (LLMs) and generative AI has become a more critical risk as AI adoption surges, according to the Open Worldwide Application Security Project ...

OWASP recently released its top 10 list for large language model (LLM) applications, in an effort to educate the industry on potential security threats to be aware of when deploying and managing LLMs.

The convergence of rising cyber threats, advanced artificial intelligence (AI), remote work, and hybrid infrastructures presents significant cybersecurity challenges in today's IT landscape. As a ...

Prompt injection and supply chain vulnerabilities remain the main LLM vulnerabilities but as the technology evolves new risks come to light including system prompt leakage and misinformation.

The cybersecurity landscape is shifting beneath our feet. While organizations have spent years in trying to perfect their approach to human identity management, a new challenge has emerged: the ...

There are some very good reasons why non-human identities (NHI) have landed among the most-discussed cybersecurity topics in the last few years — it’s estimated that for every 1,000 human users in an ...