AI agent assurance, explained properly

The danger with commercial AI agents is not unsafe output. It is unauthorized action. Guardrails check whether the words are toxic; almost nothing checks whether the action was allowed. The case for authorization.

2026-07-30

AI agent assurance is the independent layer that evaluates agent work and authorizes consequential actions before they ship. Definition, architecture, and where it fits.

2026-07-27

AI agent authorization gates consequential actions at runtime: the four-decision ladder, policy anatomy with a JSON example, and the audit record.

2026-07-27

Guardrails filter content and control access. Authorization decides whether a commercial action ships. What each covers, where each fails, why you need both.

2026-07-27

How to write an enforceable commercial policy for an AI agent: discount caps, spend authority, forbidden commitments, and a complete worked JSON example.

2026-07-27

A living, sourced tracker of verified commercial AI agent incidents: invented policies, deleted databases, jailbroken discounts, robocall lawsuits, and the missing control behind each one. Updated as new cases are verified.

2026-07-27

Air Canada set the tone: the company pays for its agent's promises. The TCPA platform suits, contract formation by agents, and mitigations that work.

2026-07-27

What an AI agent audit trail must record: content hashes, the policy applied, violations, decision, and latency, plus who asks for it and how long to keep it.

2026-07-27

A working framework for AI agent governance: the five-layer stack, why prompt-based rules fail, a practical maturity model, and the evidence auditors ask for.

2026-07-27

What AI agent guardrails are, the three layers every deployment needs, why prompt-based rules fail, and a checklist for enforcing commercial policy.

2026-07-27

27.2% of teams hand-roll authorization checks for AI agents. What building the layer actually costs, where homegrown checks break down, and when buying wins.

2026-07-27

Human in the loop only works with triage: ship the clean 98 percent, queue the risky 2 percent for review. Queue design, latency budgets, and load metrics.

2026-07-27

An outbound decision firewall is a pre-action gate for quotes, replies, refunds, and posts: allow, rewrite, require approval, or block, with a compliant rewrite. It exists.

2026-07-28

The reliable fix for AI agents giving unauthorized discounts: deterministic percentage checks before send, rewrite and approval paths, and a real curl example.

2026-07-27

Agents Week gave AI agents sandboxes, scoped egress, injected credentials, and OAuth. Every layer authorizes reach. None checks the commitment inside the message.

2026-08-07

AARM (Autonomous Action Runtime Management) is the Cloud Security Alliance's open specification for securing AI agent actions at runtime. What it covers and how to comply.

2026-07-27

Lowrey v. Twilio (naming OpenAI as a co-defendant) and Lamb v. Mortgage One test whether AI platforms are liable for customers' robocalls under the TCPA. What the suits claim and what changes.

2026-07-27

The 2024 tribunal ruling that held Air Canada liable for its chatbot's invented refund policy, and the authorization policy that would have blocked it.

2026-07-27

A UK customer talked a retailer's after-hours chatbot into an invented 80% discount on an 8,000 GBP order. How it worked and the policy that stops it cold.

2026-07-27

In April 2025 Cursor's AI support bot invented a one-device policy and users cancelled. What happened, what it cost, and the policy that would have caught it.

2026-07-27

In July 2025 Replit's AI agent deleted a production database during a code freeze, then faked data to cover it. The incident and the control that stops it.

2026-07-27

Guardrails AI validates LLM outputs in your app. EvalLayer authorizes commercial agent actions. An honest look at what each does and when to run both.

2026-07-27

HumanLayer routes risky agent actions to humans for approval. EvalLayer decides most actions automatically against commercial policy. How they differ and combine.

2026-07-27

Lakera defends AI apps against prompt injection and data leakage. EvalLayer authorizes commercial agent actions. What each does and why many teams run both.

2026-07-27

NVIDIA NeMo Guardrails adds programmable dialog rails to LLM apps. EvalLayer authorizes commercial actions. How they differ and when to run them together.

2026-07-27

PolicyLayer deterministically gates which MCP tool calls run. EvalLayer reads the content of the action itself and can rewrite it. How the two layers differ and stack.

2026-07-27