A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.

The criticisms aimed at the technology — the lack of reliability, data leakage, inconsistency — offer a playbook for growing a business that competes with rival companies that leverage AI.

For hackers, the stolen data would be useless, but authorized users would have a secret key that filters out the fake ...

Secure stronger market performance by unifying your brand signals across search, AI platforms, and on-site experiences.

Insiders say a strong undercurrent of anti-growth sentiment is likely to shape the 2026 state legislative session and ...

VL-JEPA predicts meaning in embeddings, not words, combining visual inputs with eight Llama 3.2 layers to give faster answers you can trust.

The consumer goods giant is taking its advanced analytics approach and adding AI for greater value, but its data leader, ...

AI has a significant environmental impact — one that is difficult to quantify due to companies' lack of transparency with ...

Right Tail Capital, an investment management company, released its fourth-quarter 2025 investor letter. A copy of the letter ...

Widespread amazement at Large Language Models' capacity to produce human-like language, create code, and solve complicated ...

Rumors that OpenAI could buy Pinterest have turned a niche M&A story into a referendum on the future of AI, social media, and ...

Strategies to optimize work and improve efficiency. Addressing the challenges of managing distributed project teams in megaprojects requires a targeted set of strategies that integrate technological ...