One covers attacks like prompt or tool injection, the other catches runs that miss the outcome or leave approved scope, so they cover different layers rather than the same one.[1][2]
Aim Security guards the tooling agents are built with: MCP connections, coding assistants, and injection attacks. Prefactor evaluates each deployed agent's runs for outcome quality, drift, and cost, on any framework. Run both: one secures the surface, the other checks the work.
| Decision factor | Aim Security | Prefactor |
|---|---|---|
| Where it fits | Securing the tooling agents are built with | Knowing the agent did its job in production |
| Primary question | Is the agent attack surface secured? | Did this agent produce the right outcome, at what cost? |
| Focus layer | MCP, coding assistants, development tooling | The deployed agent, on any framework |
| What you get | Attack detection and inline guardrails | A quality score per run, drift detection, and cost per agent |
| How it attaches | Guards the tooling and protocol layer | Native SDK, core SDK, or OpenTelemetry ingest, no rebuild, no gateway in the request path |
| Use them together? | Secure the surface with Aim | Prove the work with Prefactor |
Best for security teams protecting the tooling and protocol layer where agents are built.
Best for teams running agents in production who need to know each one is doing its job, and prove it.
| Capability | Aim Security | Prefactor |
|---|---|---|
| Securing the agent surface | ||
| MCP security | ✓ | — |
| Coding assistant protection | ✓ | — |
| Prompt and tool injection detection | ✓ | — |
| Inline guardrails on attacks | ✓ | On evaluation signals |
| Evaluating agents in production | ||
| Quality score per run | — | ✓ |
| Cost attributed per agent and version | — | ✓ |
| Drift detection against a baseline | — | ✓ |
| Hold or escalate a risky action before a user is affected | — | ✓ |
| Across your stack | ||
| Evaluates agents built on any framework | — | ✓ |
| One queryable record per agent | — | ✓ |
| Audit trail for a decision | For security events | ✓ |
We sell the layer this section describes. Read it with that in mind.
Aim Security answers whether the surface an agent runs on is under attack: a poisoned MCP connection, an injected prompt. It does not say whether the deployed agent did its job, at acceptable quality and cost.
Every run is checked against the agent's job, with a quality score tracked per agent across versions.
When behaviour shifts after a model update or a prompt edit, Prefactor flags it.
When a score or a scope check crosses a threshold, Prefactor can hold or escalate the action before a user is affected.
Each decision keeps evidence a customer or an auditor can read. Prefactor builds it from the traces you already emit, through a native SDK or any OpenTelemetry source.
Reviewed against public product and documentation pages on March 19, 2026. If a vendor has changed a feature, product name, or positioning since then, send a correction and we will update it. Numbered source links in the page body point to the ordered sources below.
Book a demo and we will evaluate a live agent on a fleet like yours: quality per run, drift after a change, and cost per agent.
Prefactor helps teams observe, evaluate, and improve their AI agents in production, across every framework and provider.