Generative AI Malware Survey Training 
CIO
MAY 15, 2024
It seems anyone can make an AI model these days. Even if you don’t have the training data or programming chops, you can take your favorite open source model, tweak it, and release it under a new name. According to Stanford’s AI Index Report, released in April, 149 foundation models were released in 2023, two-thirds of them open source.
Tenable
APRIL 12, 2024
Plus, a new survey shows cybersecurity pros are guardedly optimistic about AI. That’s according to a new global survey of almost 2,500 IT and security professionals conducted by the Cloud Security Alliance (CSA). Already, 22% of polled organizations use generative AI for security. The rest had no opinion.
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Tenable
JANUARY 26, 2024
Plus, CERT’s director says AI is the top skill for CISOs to have in 2024. Plus, the UK’s NCSC forecasts how AI will supercharge cyberattacks. And a global survey shows cyber pros weighing pros and cons of AI. Cyber agencies from multiple countries published a joint guide on using artificial intelligence safely.
CIO
DECEMBER 6, 2023
OpenAI’s recent announcement of custom ChatGPT versions make it easier for every organization to use generative AI in more ways, but sometimes it’s better not to. But this wasn’t the first time Bing’s AI news added dubious polls to sensitive news stories.
Tenable
SEPTEMBER 6, 2024
That’s the warning from CISA, which urges cyber teams to protect their organizations by keeping software updated, adopting phishing-resistant multi-factor authentication and training employees to recognize phishing attacks.
O'Reilly Media - Ideas
MAY 2, 2023
Only a few organizations can build, train, and run the large LLMs. But almost anyone can train a small LLM that will run on a well-equipped laptop or desktop. AI NVidia has announced Nemo Guardrails , a product whose purpose is to keep Large Language Models operating safely. trillion token dataset for training.
Tenable
APRIL 19, 2024
At about 500 pages, it’s an all-encompassing deep dive into today’s key AI issues. AI developers offer little transparency into their work, especially in areas like training data and methods, which makes it difficult to evaluate the safety of their systems. Incidents of malicious AI use are rising quickly.
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