Today we’re excited to share several milestones as we continue on our mission to secure the internet and protect consumer data. ‍ ‍ ‍ ‍ And we’re just getting started. ‍ As we continue to reimagine GRC tools for the future of trust, we’ve built enterprise-ready features and rolled out additional Vanta AI capabilities along with support for the NIST AI Risk Management Framework. ‍ ‍

Conducting regular user access reviews is an effective way to make sure your organization is securing access to critical systems and third-party vendors. Frameworks like SOC 2 and ISO 27001 even require proof of regular access reviews to demonstrate compliance. ‍ Without automation, access reviews are tedious and time-consuming, requiring IT and security teams to manually record user access information in a spreadsheet and take countless screenshots of access permissions screens. ‍

The pace and complexity of AI technologies is increasing every day. In this rapidly changing environment, it’s critical for companies to adopt a rigorous approach to safely and responsibly incorporating AI into their products and processes. ‍ That’s why we’re excited to announce that the NIST AI Risk Management Framework (RMF) is now available in beta.

Researchers have developed AI technology that can mimic someone’s handwriting with only a few paragraphs of written content. Experts worry about the possibility of misuse. The Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) in Abu Dhabi announced they have developed handwriting AI based on a neural network designed to learn context and meaning in sequential data.

A new threat vector discovered by Cato Research could reveal proprietary information about the internal configuration of a GPT, the simple custom agents for ChatGPT. With that information, hackers could clone a GPT and steal one’s business. Extensive resources were not needed to achieve this aim. Using simple prompts, I was able to get all the files that were uploaded to GPT knowledge and reveal their internal configuration.

Five worthy reads is a regular column on five noteworthy items we have discovered while researching trending and timeless topics. This week, we will explore the pivotal role of the AI trust, risk, and security management (AI TRiSM) framework in safeguarding the functionality of AI and understand why it is crucial for our protection. Any relationship needs to be fortified with trust to be successful. The human-AI relationship is not an exception.

Macro technology trends have always impacted and influenced every aspect of the retail industry. From the days of catalog ordering and cash only transactions to today’s personalized, always-on omnichannel experiences where contactless payment has become the norm - the world of retail is almost unrecognizable.

Generative AI and large language models (LLMs) are revolutionizing natural language processing (NLP), offering enhanced conversational AI experiences for customer service and boosting productivity. To meet enterprise needs, it’s important to ensure the responses that are generated are accurate as well as respect the permissions model associated with the underlying content.