AI Agents
AI Agent Threat Modeling: Finding Risk Before Delegation
How to threat model AI agent workflows by mapping assets, trust boundaries, tools, untrusted inputs, permissions, …
Agent Safety
AI Agents
AI Agent Browser Workflows: Working Through the Web Without Losing the Thread
How to design AI agent browser workflows with source judgment, form boundaries, session safety, evidence capture, and …
AI Agents
AI Agent Instruction Hierarchies: Keeping Goals, Policies, and Evidence in Order
How to design AI agent instruction layers so durable policy, task goals, tool evidence, and untrusted content do not …
AI Agents
AI Agent Identities: Credentials, Service Accounts, and Accountability
How to design AI agent identities with separate accounts, scoped credentials, attribution, secret handling, revocation, …
AI Agents
AI Agent Prompt Injection: Working With Untrusted Content
How to design AI agent workflows that treat web pages, documents, tickets, emails, and tool outputs as evidence without …
AI Agents
AI Agent Sandboxes: Where Delegates Can Safely Work
A narrative guide to AI agent sandboxes, test environments, mock tools, read-only data, approvals, production …
AI Agents
Human Review for AI Agents: The Handoff That Makes Delegation Work
A narrative guide to human review in AI agent workflows: handoffs, approval gates, audit trails, risk levels, evidence, …
AI Agents
AI Agent Evaluations: How to Test Delegated Work Before You Trust It
A practical guide to evaluating AI agents with task suites, logs, rubrics, permissions, regression checks, human review, …