Agents are the first software that can be talked into misbehaving. Read that twice. Everything in an AI agent security audit flows from it. Traditional security assumed the attacker was outside the system. With agents, the attacker can be inside the conversation, wearing a helpful tone.
Start with the checklist that catches most real problems. Prompt injection: can a webpage, document, or message your agent reads override its instructions? Tool permissions: does your agent have write access it does not need? Overprivileged tools are how a confused agent becomes a destructive one. Secrets handling: are API keys and credentials passing through prompts where they can leak into logs? Data egress: where does your data actually go when the agent runs? Which models see it? Which third parties touch it? Answer these honestly before you ship. Most teams cannot, which tells you everything.
Then the layer people skip: the model supply chain. Open-weight models you run yourself keep data local but put the security burden on you. API models push inference to someone else's infrastructure, which is convenient and worth auditing in its own right. Neither is automatically safer. I get asked which is safer the way people ask which car is safest, as if the answer does not depend on the driver. The safe choice is the one you evaluated instead of assumed.
This is where an AI agent security audit SaaS earns its keep: a structured review of your prompts, tools, permissions, and data flows before production. Cheap compared to the incident it prevents. At minimum, do the checklist yourself with fresh eyes and a hostile mindset. Assume the agent will be tricked. Eventually it will be. Plan for that day now. On the best open source AI agent question for security-sensitive work, my bias is toward frameworks with active maintenance and clean permission models, not the flashiest launch.
Our database at localaiagents.fyi flags practical maturity signals across 548 frameworks, built on AI agent frameworks GitHub activity data, which is one input to the security picture. Maturity correlates with fewer surprises. Roughly. And if you want the whole thing built with the audit mindset from day one, I help teams build custom AI agent for business deployments at localaiagents.fyi.