Security News
Google's Gemini large language model (LLM) is susceptible to security threats that could cause it to divulge system prompts, generate harmful content, and carry out indirect injection attacks. The...
As cybersecurity professionals, we consider the security risks and implications it presents for businesses, and we must do our best to remain in control and set clear boundaries and limitations on what the technology can do. When we think about the security implications of interactive AI, we must first consider the concerns that have previously been raised around generative AI models and LLMs. These range from ethical concerns to political and ideological biases, uncensored models, and offline functionality.
97% of technology leaders find traditional AIOps models are unable to tackle the data overload, according to Dynatrace. 88% of organizations say the complexity of their technology stack has increased in the past 12 months, and 51% say it will continue to increase.
"At the most basic level, AI has given malicious attackers superpowers," Mackenzie Jackson, developer and security advocate at GitGuardian, told the audience last week at Bsides Zagreb. These superpowers are most evident in the growing impact of fishing, smishing and vishing attacks since the introduction of ChatGPT in November 2022.
What role do AI and automation play in cloud communications cybersecurity, and how can these technologies be leveraged to improve security posture? AI and automation are transforming cloud communications cybersecurity by enhancing threat detection, response times and the overall efficacy and efficiency of security operations.
The U.S. Department of Justice has announced the unsealing of an indictment against Linwei Ding, 38, a former software engineer at Google, suspected of stealing Google AI trade secrets for Chinese companies. The allegedly stolen trade secrets involve crucial technology underpinning Google's advanced supercomputing data centers, which are essential for training and hosting large AI models capable of processing nuanced language and generating intelligent responses.
To benefit society as a whole we also need strong public AI as a counterbalance to corporate AI, as well as stronger democratic institutions to govern all of AI. One model for doing this is an AI Public Option, meaning AI systems such as foundational large-language models designed to further the public interest. They would provide a mechanism for public input and oversight on the critical ethical questions facing AI development, such as whether and how to incorporate copyrighted works in model training, how to distribute access to private users when demand could outstrip cloud computing capacity, and how to license access for sensitive applications ranging from policing to medical use.
The U.S. Department of Justice (DoJ) announced the indictment of a 38-year-old Chinese national and a California resident of allegedly stealing proprietary information from Google while covertly...
The report surveyed 150 IT security and data science leaders to shed light on the biggest vulnerabilities impacting AI today, their implications for commercial and federal organizations, and cutting-edge advancements in security controls for AI in all its forms. This has made AI security a top priority, with 94% of IT leaders dedicating funds to safeguard their AI in 2024.
The US Department of Justice on Wednesday revealed an indictment that charges a former Google employee with leaking the ad giant's AI tech to two Chinese companies - after easily defeating the Big G's security controls. The indictment names Linwei Ding, aka Leon Ding, and states that during his time at Google his job involved "Development of software that allowed GPUs to function efficiently for machine learning, AI applications, or other purposes required by Google or Google Cloud clients."