Network-level security for autonomous agents.
Field notes on prompt injection, data exfiltration, MCP gateways, AI governance, and what actually happens on the wire when an LLM acts on its own.
Browser Agent Security Risks: What Breaks When Your AI Drives a Browser
Browser-using agents expand the blast radius. Here's how prompt injection, credential leakage, and CSRF-style attacks change shape and what the network layer can do about them.
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Preventing LLM Data Exfiltration
Data exfiltration meaning, in agent terms: any outbound call that sends data somewhere it shouldn't. We break down the egress patterns and how to block them.
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Demystifying MCP Gateways
An MCP gateway sits between your agent and the tool servers it talks to. What it does, what it doesn't, and where guardrails belong.
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Claude 529 Overloaded Error: Causes & Resolution
What the Claude overloaded error actually means, why it surfaces in agent loops, and how to harden retries without amplifying load.
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An AI Governance Auditing Framework for Agent Workloads
Mapping NIST AI RMF and ISO 42001 controls to agent traffic what to log, what to block, and what to escalate.
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