AI Agent Audit Logging and Identity: Lessons From the OpenAI Agent Access Incident
OpenAI agents reportedly accessed 55 sites with obscured audit logs. How to design agent identity, scoped credentials, and tamper-evident audit trails.
AMD Ryzen AI Max+ Pro 400: Local LLM Inference on Workstations Explained
AMD Ryzen AI Max+ Pro 400 workstation chips target local LLM inference. Unified memory, NPU/iGPU split, model sizes that fit, and local vs cloud API economics.
Open Standard OUSD Stablecoin: Architecture, Reserves, Multi-Chain Design
Open Standard launched OUSD on Oct 1, 2026 with Visa, Mastercard, Coinbase, Stripe and Shopify. Reserve design, multi-chain issuance and engineering impact.
OpenAI Distillation Campaign: How CoT Extraction Works and How to Defend
OpenAI disrupted a coordinated chain-of-thought distillation campaign. How distillation attacks work, how to detect them, and API defenses.
Cohere Embed 5 Pro Explained: Architecture, Benchmarks, Pricing for RAG
Cohere Embed 5 Pro explained: what is confirmed on architecture, retrieval quality vs speed, pricing, and how to migrate a RAG pipeline from older embeddings.
KServe vs Ray Serve vs BentoML: Model Serving on Kubernetes ADR
Compare KServe, Ray Serve and BentoML for model serving on Kubernetes: autoscaling, GPU, LLM support, canaries, operations. Decision record for 2026.
LLM-Generated PLC Code: Safety, Verification and Guardrails
Using LLMs to generate IEC 61131-3 Structured Text for PLCs: verification gates, simulation, IEC 61508 constraints, and where it is unsafe. Reference pipeline.
From OPC UA to Digital Twin: Time-Series Ingestion Architecture
Reference architecture for moving OPC UA and MQTT plant data into a digital twin: buffering, store-and-forward, schema, late data, and twin state sync.
Instant Payments Fraud Architecture: Real-Time Risk Scoring at Rail Speed
Designing fraud and risk controls for irrevocable instant payments (FedNow, RTP, SEPA Instant): latency budgets, scoring pipelines, confirmation of payee.
AI Agent Evaluation Harness: Trajectory Evals in Production
How to evaluate tool-using AI agents: trajectory vs outcome evals, simulated environments, LLM judges, regression gates in CI, with a reference architecture.