Insights and analysis on AI security, enterprise solutions, and technology trends
Cloud AI looks cheap until year three. API costs scale linearly with usage. Vendor pricing changes without warning. Meanwhile, organizations that invested in owned infrastructure hit breakeven by month 18 and never worry about usage caps or strategic misalignment.
Healthcare systems processing patient records. Financial institutions handling trading algorithms. Defense contractors managing classified research. Law firms protecting attorney-client privilege. These sectors share a common requirement: absolute certainty about data location and access.
Remember when everyone built on Google Maps API, then pricing changed overnight? That's about to happen with AI at enterprise scale. We examine vendor lock-in, pricing volatility, and the strategic vulnerability of treating AI as a utility service.
You clicked 'submit' on a single AI query. Your data just touched infrastructure in Virginia, Frankfurt, Singapore, and twelve other locations you'll never know about. For regulated enterprises, this isn't just a privacy concern—it's a compliance catastrophe.
Every interaction with cloud-based AI services creates a digital paper trail of your organization's most valuable asset—proprietary knowledge. While terms of service promise data protection, the reality is more complex.
Anthropic's landmark copyright settlement exposes the hidden risks of AI training data. Learn why air-gapped private AI systems are the only insurance policy that actually pays out.
