An enterprise buyer asks for audit logs, PII handling, and access controls before they'll sign. Prefactor gives a small team that answer on day one: no security hire, no governance system built from scratch while you're also trying to ship.
One SDK integration, not one hire: works across LangChain, CrewAI, Claude Agent SDK, and custom frameworks.
A three-person team can ship an AI feature enterprise buyers want. Proving it's governed, without a dedicated security hire, is the part that usually stalls.
Registry, audit trail, PII detection, risk scoring: months of engineering time before the first sale it unblocks.
The same evidence, live from the deploy step that already ships your agent.
Audit trails, PII detection, and access boundaries that would otherwise need a security engineer to build and maintain, running from an SDK your existing team installs.
An enterprise security review asks specific questions on a specific timeline. Having the evidence already generated means answering this week, not after a quarter of building.
Per-agent cost attribution from day one, so a runaway token bill shows up as a number you already had, not a surprise on the next invoice.
Every agent, its owner, framework, and version in one inventory, the first thing a security review asks for. See the agent registry →.
Names, emails, and credentials in an agent's output are detected and can be redacted automatically, before a buyer's security team has to ask about it.
Every action, timestamped and tamper-evident, exportable as the evidence a security questionnaire asks for. See the audit trail →.
A registry, an audit trail, PII detection, and risk scoring are all buildable in-house, and some teams do. The honest question is what else that engineering time isn't spent on while you build it, and whether the enterprise deal in front of you can wait that long. See the build vs. buy breakdown → for what building this yourself actually requires.
A small team can't absorb a runaway token bill. Every call is tagged with the agent that spent it, so a budget is a number you set, not a hope.
Token, API, and compute cost roll up from task to agent to team, so a spike traces back to the run that caused it.
Set a daily, weekly, or monthly limit per agent, and Prefactor throttles or blocks further calls at the threshold, not after the invoice arrives.
A misconfigured agent burning through its budget in an hour instead of a month routes to the alert channel your small team already watches.
Book a demo and we'll walk through the exact evidence an enterprise buyer's security team asks for.
Prefactor helps teams observe, evaluate, and improve their AI agents in production — across every framework and provider.