Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Scattered across the internet are jigsaw puzzle pieces containing your personal information. If reassembled by an attacker, these puzzle pieces could easily compromise your identity. Our returning guest today is Len Noe, CyberArk’s resident transhuman (a.k.a. cyborg), whose official titles these days are Technical Evangelist, White Hat Hacker and Biohacker.

A couple weeks ago, ServiceNow and NVIDIA announced a groundbreaking partnership to help expand ServiceNow’s generative AI use cases for their customers to strengthen workflow automation and rapidly increase productivity. ServiceNow is also helping NVIDIA streamline its IT operations by using NVIDIA data to customize NVIDIA NeMo foundation models running on hybrid-cloud infrastructure.

Back in 2015, we published an article about the apparent perils of driverless cars. At that time, the newness and novelty of sitting back and allowing a car to drive you to your destination created a source of criminal fascination for some, and a nightmare for others. It has been eight years since the original article was published, so perhaps it is time to revisit the topic to see if driverless cars have taken a better direction.

Large language models (LLMs), such as ChatGPT, have gained significant popularity for their ability to generate human-like conversations and assist users with various tasks. However, with their increasing use, concerns about potential vulnerabilities and security risks have emerged. One such concern is prompt injection attacks, where malicious actors attempt to manipulate the behavior of language models by strategically crafting input prompts.

A new study found that ChatGPT can accurately recall any sensitive information fed to it as part of a query at a later date without controls in place to protect who can retrieve it. The frenzy to take advantage of ChatGPT and other AI platforms like it has likely caused some to feed it plenty of corporate data in an effort to have the AI process and provide insightful output based on the queries received.

In today’s rapidly digitizing world, the importance of data security has become paramount. With the increasing amount of sensitive information being shared and stored online, securing information from cyber attacks, information breaches, and theft has become a top priority for companies of all sizes. Data loss prevention (DLP) is a critical part of the Netskope Intelligent Security Service Edge (SSE) security platform, providing best-in-class data security to our customers.

Large language models have gained immense popularity among web users today owing to the generation of human-like text responses. However, as with any technology, LLM is not without its risks and safety issues.