The AI industry is drawing a new line in the sand. NVIDIA, Microsoft, IBM, CrowdStrike, Hugging Face, and more than 30 other organizations have launched the Open Secure AI Alliance to develop open-source tools that strengthen AI security. One notable absence is OpenAI, which has not joined the coalition and has not publicly explained why.

The alliance argues that open models and shared security tools give defenders greater transparency and flexibility when responding to cyber threats. Whether OpenAI eventually joins or continues to focus on its own security approach remains to be seen, but its absence highlights the growing divide between companies championing open AI ecosystems and those building primarily closed, proprietary models.

READ ARTICLE…

Government restrictions on access to some of the most advanced AI models are accelerating a shift that was already underway: developers are increasingly embracing open-source and open-weight alternatives. The article argues that reliance on proprietary AI services carries real business risk, as policy changes or provider decisions can suddenly limit access.

What’s especially notable is that competitive open models from companies such as China’s DeepSeek and Zhipu AI are closing the performance gap while offering greater flexibility and lower costs. My view is that this isn’t just an open-versus-closed debate anymore. It’s becoming a question of resilience. Businesses building AI products are likely to diversify across multiple models rather than depend on a single provider, making open-source AI an increasingly important part of the industry’s future, even as governments may eventually seek to regulate those models as well.

READ ARTICLE…

Quantum computing may not be breaking today’s encryption yet, but the security risk is already here. The biggest concern isn’t future attacks, it’s the “harvest now, decrypt later” strategy, where cybercriminals steal encrypted data today with the expectation that powerful quantum computers will unlock it years from now. Organizations holding long-lived data like financial records, intellectual property, and customer information are especially exposed.

The article makes a compelling case that businesses should stop treating quantum security as a distant problem. Many companies still lack visibility into where their sensitive data lives or how well it’s protected, making a transition to post-quantum cryptography far more difficult than simply swapping encryption algorithms. Preparing for the quantum era starts with understanding and securing today’s data, because tomorrow’s breach may have already happened.

READ ARTICLE…