Agent-Ready Infrastructure
Blog
Deep dives into email security, AI agent infrastructure, and the future of machine-readable messaging.
How We Reduced Email Processing Latency by 10x
Our email processing pipeline went from 200ms to 18ms per message. Here's the engineering story behind our performance breakthrough, from profiling to production.
Benchmarking Email Sanitization: Speed vs. Security Trade-offs
We tested 12 email sanitization approaches across 50,000 messages. The results reveal surprising trade-offs between processing speed, security coverage, and LLM accuracy.
Agent-to-Agent Email: The Protocol No One Is Talking About
As AI agents proliferate, they need to communicate with each other. Email — yes, email — might be the best transport layer. Here's why, and how we're building for it.
The Hidden Cost of Email Tracking Pixels for AI Systems
Tracking pixels aren't just a privacy concern — they actively confuse AI agents, waste tokens, and create security vulnerabilities. We measured the real impact.
Building an Email Parser That LLMs Actually Understand
We rebuilt our email parser from scratch to output structured data that language models can reliably interpret. Here's what we learned about bridging the gap between RFC 5322 and modern AI.
Zero-Trust Email: Why Perimeter Security Fails for AI Agents
Traditional email gateways assume trust once a message passes SPF/DKIM. But AI agents need a fundamentally different model — one where every payload is treated as potentially adversarial.
From MIME to YAML: How SpiderMail Structures Email for Agents
Raw MIME is a nightmare for LLMs. We built a pipeline that converts messy multipart emails into clean, typed YAML payloads — ready for any AI agent to consume.
Anatomy of an Email Prompt Injection
We dissect a real-world attack where a hidden instruction inside an email tricked an AI agent into forwarding sensitive data. Learn the patterns and how SpiderMail blocks them.
Why LLMs Can't Read Your Email (And Why That's Dangerous)
Most AI agents parse raw MIME. That means HTML, tracking pixels, invisible text, and prompt injections all reach the model. Here's why sanitization isn't optional — it's existential.
