Generative AI
Generative AI lures DevOps and SecOps into risky territory
Application security leaders are more optimistic than developer leaders on generative AI, though both agree it will lead to more pervasive security vulnerabilities in software …
3 ways to strike the right balance with generative AI
To find the sweet spot where innovation doesn’t mean sacrificing your security posture, organizations should consider the following three best practices when leveraging AI. …
ChatGPT on the chopping block as organizations reevaluate AI usage
ChatGPT has attracted hundreds of millions of users and was initially praised for its transformative potential. However, concerns for safety controls and unpredictability have …
IT leaders alarmed by generative AI’s SaaS security implications
IT leaders are grappling with anxiety over the risks of generative AI despite continued confidence in their software-as-a-service (SaaS) security posture, according to Snow …
Customizing LLMs for domain-specific tasks
The expansion of large language models (LLMs) in recent times has brought about a revolutionary change in machine learning processes and has introduced fresh perspectives on …
Navigating generative AI risks and regulatory challenges
The mass availability of generative AI, such as OpenAI’s ChatGPT and Google Bard, became a top concern for enterprise risk executives in the second quarter of 2023, according …
Organizations want stronger AI regulation amid growing concerns
AI professionals are still facing some very real challenges in democratizing data, much less AI (much less Generative AI), across their organizations, according to Dataiku. …
Blocking access to ChatGPT is a short term solution to mitigate risk
For every 10,000 enterprise users, an enterprise organization is experiencing approximately 183 incidents of sensitive data being posted to ChatGPT per month, according to …
Companies are rushing into generative AI without a cohesive, secure strategy
Despite mass adoption of generative AI, most companies don’t have a coordinated strategy for deploying it or know how to assess its security—exposing them to risks and …
US companies commit to safe, transparent AI development
Seven US artificial intelligence (AI) giants – Amazon, Anthropic, Google, Inflection, Meta, Microsoft, and OpenAI – have publicly committed to “help move …
Generative AI outperforms hackers but not their creativity
72% of hackers are confident that AI cannot replace human creativity in security research and vulnerability management, according to Bugcrowd. Generative AI hacking Generative …
Combatting data governance risks of public generative AI tools
When companies utilize public generative AI tools, the models are refined on input data provided by the company. Regarding data security, unauthorized use of sensitive data or …