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AI Engineer · December 24, 2025

The Unreasonable Effectiveness of Prompt Learning — Aparna Dhinakaran, Arize

video AI EngineeringPrompt Engineering
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Why it matters

AI Engineer session on The Unreasonable Effectiveness of Prompt Learning, presented by Aparna Dhinakaran, Arize. It adds practical context for how teams are building and operating AI systems in production.

My takeaway: The Unreasonable Effectiveness of Prompt Learning — Aparna Dhinakaran, Arize is an enterprise-adoption signal. The practical read is to watch how deployment scale, data boundaries, operational ownership, and platform controls change as AI moves out of experiments.
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AWS Security Blog · guide

Transforming Bedrock Guardrails events into OCSF with CloudWatch

AWS provides an implementation guide for a Lambda pipeline that converts Bedrock Guardrails intervention logs into OCSF Detection Findings in the CloudWatch unified data store. It includes field mapping and queries that correlate guardrail events with identity and network activity.

Trail of Bits Blog · analysis

Auditing in the age of (good enough) AI

Trail of Bits describes an audit methodology using agents to build a decompiler, static analysis and Lean models before reviewing the Miden VM. Public code and regression checks support security findings and 95 machine-checked proofs, with people reviewing what the theorems establish.