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Edge LLMs and On‑Device AI in 2026: A Practical Guide for Developers

Edge LLMs and On‑Device AI in 2026: A Practical Guide for Developers

A practical, hands‑on guide to choosing distilled models and hardware accelerators for on‑device LLMs in 2026, optimizing latency and cost, and hardening deployments against prompt injection, model poisoning, and data‑residency requirements.

Defending Production LLMs: A Practical Security Playbook to Stop Prompt Injection, Data Poisoning, Model Extraction, and AI‑Powered Phishing

Defending Production LLMs: A Practical Security Playbook to Stop Prompt Injection, Data Poisoning, Model Extraction, and AI‑Powered Phishing

A hands‑on playbook for developers and infosec teams to detect, red‑team, and respond to prompt injection, data poisoning, model extraction, and AI‑driven phishing in production LLM deployments.

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