AI coding assistant security evaluation: questions for the vendor
What to ask an AI coding assistant vendor before rollout: data handling, retention, training use, admin controls, agent mode and incident response.
Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
What to ask an AI coding assistant vendor before rollout: data handling, retention, training use, admin controls, agent mode and incident response.
Seven common beliefs about AI chat privacy, checked against Anthropic and Google documentation: delete, incognito, links, voice, location and human review.
AI agent security tools fall into a few categories: discovery, identity, guardrails, testing and observability. How to tell which problem you have first.
An AI agent kill switch should stop actions, revoke credentials, halt queued work and keep a record. Use this checklist to test whether yours really works.
An AI agent intake form should ask ten questions: purpose, owner, tools, data, credentials, approvals, logging, failure, stop plan and review date.
What to check when a product claims to manage AI agent identity: unique identities, scoped credentials, expiry, delegation, revocation and audit evidence.
Meta's Agents Rule of Two says an agent session should hold no more than two of three properties: untrusted input, sensitive access, or the power to act.
A registry of agents only helps if each entry answers the questions you will ask in an incident. Fields to capture, with examples and common gaps.
A pilot agent run by one enthusiastic team is not ready for production. Seven gates covering owner, access, testing, logging, rollback and review.
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