Security News
To effectively safeguard these new environments, cybersecurity teams need to understand the shifting nuances of red teaming in the context of AI. Understanding what's changed with AI is an essential starting point to guide red teaming efforts in the years ahead. Why AI flips the red teaming script. Because the abilities of these models increase over time, cyber teams are no longer red teaming a static model.
NVIDIA's newest GPU platform is the Blackwell, which companies including AWS, Microsoft and Google plan to adopt for generative AI and other modern computing tasks, NVIDIA CEO Jensen Huang announced during the keynote at the NVIDIA GTC conference on March 18 in San Jose, California. Along with the Blackwell GPUs, the company announced the NVIDIA GB200 Grace Blackwell Superchip, which links two NVIDIA B200 Tensor Core GPUs to the NVIDIA Grace CPU - providing a new, combined platform for LLM inference.
Large language models (LLMs) powering artificial intelligence (AI) tools today could be exploited to develop self-augmenting malware capable of bypassing YARA rules. "Generative AI can be used to...
There is a lot we can learn about social media's unregulated evolution over the past decade that directly applies to AI companies and technologies. These lessons can help us avoid making the same mistakes with AI that we did with social media.
The U.S. Securities and Exchange Commission announced today that two investment advisers, Delphia and Global Predictions, have settled charges of making misleading statements regarding the use of artificial intelligence technology in their products. Both companies have agreed to pay $400,000 in civil penalties for their "Al washing" activities: Delphia will pay a civil penalty of $225,000, while Global Predictions will pay $175,000.
A consensus on regulatory AI frameworks seems distant. The imperative for secure and responsible AI deployment cannot be overstated.
Code components available from public repositories can contain hidden backdoors or data exfiltrators, and pre-built models and datasets can be poisoned to cause apps to behave unexpectedly inappropriately. Backdoored or malware-spiked libraries and models, if incorporated into shipped software, could leave users of those apps open to attack as well.
In this Help Net Security video, Tracy Reinhold, CSO at Everbridge, discusses why AI technology must be embraced while also exploring some guardrails that must be in place to protect organizations...
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.