AI agent incident response and liability basics
What to do when an agent acts wrong: contain, revoke, notify, fix, and how contracts should assign responsibility.
Blog
Permissions, approval flows, incident handling, compliance, and control patterns for agent-driven work.
8 articles
What to do when an agent acts wrong: contain, revoke, notify, fix, and how contracts should assign responsibility.
When browser or computer-use agents help, and the security, reliability, and compliance risks operators underestimate.
How agencies isolate client data, prompts, and knowledge indexes when running AI agents across accounts.
Practical privacy design for agents: data minimization, redaction, subprocessors, retention, and regional concerns.
How untrusted email, web, and PDF content hijacks agents - and practical defenses that actually help.
How tool calling should work in production: scopes, allowlists, confirmation gates, loop limits, and least privilege.
Buyer-side security checklist for AI agents: secrets, permissions, outbound actions, logging, vendors, and vibe-coded risk.
How human-in-the-loop AI agents work, which actions need approval gates, when to escalate, and how to add HITL control without blocking routine work.