Meta is dependent on AI capacity from Google’s Gemini despite the Facebook parent company developing its own language models, and is suffering from throttling due to global computing resource bottlenecks.
Only one-third of IT asset management teams can reliably account for costs and benefits of AI projects, while over 50 percent report AI spending without measurable added value.
Organizations should evaluate dependency on public AI APIs as an operational risk and incorporate private or self-hosted models into their IT risk strategy.
GPT-5.6 Sol achieves comparable results to competing models in cybersecurity tests with only one-third of the token output and is primarily designed for defensive tasks such as vulnerability analysis.
