Blog
Technical deep dives, research breakdowns, and practical guides for engineers building AI systems.
GOVERNANCE
The EU AI Act Enters Enforcement: What Autonomous Agents Need to Do
The EU AI Act's high-risk AI system obligations became enforceable on January 2, 2026. If you're building autonomous AI agents, this is now a regulatory requirement, not optional. This post covers what the Act actually requires, where agent deployments create compliance gaps, what the research says about agent vulnerabilities, and what governance architecture closes those gaps.
GOVERNANCE
Your AI Agents Need to Pass an Audit. Here's What SOC 2 and ISO 27001 Actually Require.
SOC 2 and ISO 27001 were designed for human-operated systems. Autonomous AI agents break every assumption those frameworks make. This is a practical guide to the compliance gap — what auditors actually look for, where existing controls fall short, and what governance architecture your agents need to pass an audit.
PRODUCT
Phase 2: Full Agent Workflow Tracing Is Here
Prysm AI now traces entire agent workflows end-to-end. Unified timeline, tool performance dashboards, agent decision explainability, directed workflow graphs, and Microsoft Agent Framework integration.
TUTORIAL
Building an AI Debate Arena: A Full-Stack Tutorial with PrysmAI
A step-by-step guide to building a live AI debate application where GPT-4o Mini and Claude Sonnet 4 argue any topic across 10 rounds — with prompt injection attacks, real-time security scanning, and full observability through PrysmAI. Complete source code included.
OBSERVABILITY
The AI Observability Stack in 2026: What's Changed and What's Still Missing
The AI observability market has exploded — dozens of tools, hundreds of millions in funding. But every tool treats the model as a black box. Here's what the stack does well, and the critical layer that's still missing.
INTERPRETABILITY + SECURITY
The Missing Link: How Interpretability Makes AI Security Actually Work
Every mainstream AI defense operates on the outside of the model. Interpretability changes that equation — detecting unknown attacks by watching the model's internal state in real time.
AI SECURITY
Why Prompt Injection Still Works in 2026 (And What Actually Stops It)
Prompt injection remains the #1 threat to AI agents. A look at why current defenses fail, what actually works, and how interpretability is opening an entirely new front in AI security.
DEEP DIVE
I Looked Inside a Language Model's Neural Network. Here's What I Found.
Thanks to tools like TransformerLens and sparse autoencoders, we can now extract interpretable features from production-scale language models. I opened up GPT-2, traced its internal representations, and what I found changed how I think about every AI system I've built.
INTERPRETABILITY
What Is Mechanistic Interpretability? A Practical Guide for AI Engineers
MIT named it a 2026 Breakthrough Technology. But what does mechanistic interpretability actually mean for the people building AI products? A practitioner-focused guide to the science of seeing inside neural networks.
AI SECURITY
Stop Flying Blind: Why We Need to See Inside Our AI Agents
The age of autonomous AI agents is a production reality. Yet we are building this new world on a foundation of sand — deploying systems we fundamentally do not understand.