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OpenAI president Greg Brockman on Sunday warned enterprise CISOs that they need to more aggressively embrace agents if they want to survive upcoming cyberattacks.
Brockman said in a blog post that it has become "increasingly clear" that company systems are hiding "significant flaws, and defenders need to find and fix them before attackers do."
He added: "The Hugging Face incident showed that we underestimated the real-world cyber capabilities of our AI models."
The details he shared about OpenAI's current defensive efforts, however, were mostly routine best practices familiar to enterprises.
"We continue to invest in secure architecture and controls, embrace strategies like defense in depth and least privilege, and are designing systems that require multiple independent controls to fail simultaneously for something catastrophic to occur," Brockman said. "Classic security controls like network isolation, workload hardening, monitoring, and safe patching and deployment will be more important than ever in the AI future."
To combat emerging threats, Brockman also advised enterprise CISOs to increase their use of agentic systems, not surprisingly recommending those from OpenAI.
"Give your securit
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Meta rolled out a new 30-billion-parameter AI model optimized to run on a PC or Mac with a single GPU on Monday, offering a way to run always-on agentic workflows locally rather than relying on the cloud.
The company has dubbed it Muse Glimmer. However, its hardware demands, including a GPU with a minimum of 24GB of VRAM, could make it difficult to justify for deployment at scale.
Although analysts and consultants agree that there is a tremendous enterprise appetite for running models locally, determining whether switching more systems from cloud to local makes fiscal sense is much more complex.
The hardware costs are tricky to calculate even today, with the VRAM needed depending on the particular applications to be run. But the far bigger consideration is that there is no way to determine what RAM costs will look like over the next 12-18 months, and there is an identical lack of visibility into how cloud prices might increase during the same timeframe.
That makes determining the better financial choice impossible.
Agents become capex, not opex
Noah Kenney, principal consultant at Digital 520, noted that since RAM costs have increased "exponentially" over the last 12 months, cloud AI providers are also going to have to increase their prices. Beyond that, IT needs to anticipate logistical is
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