Product fit

When VeriProof is the wrong tool

VeriProof checks an agent's consequential actions against your business rules before they happen. It sends exceptions to the person with authority and keeps one sealed record. If your problem is something else, another product will serve you better. Here's who we'd point elsewhere, and where.

Eight cases where you should look elsewhere

Runtime security

Your main worry is attacks on the model

If you need to catch prompt injection, jailbreaks, or data leaking out through a reply, use a runtime security product such as Lakera or Zenity. They're built to detect attacks. VeriProof checks business rules and doesn't look for attacks at all.

Validation framework

You want to validate model input and output in code

If your developers need to check format, PII, or toxic language in what a model reads and writes, use Guardrails AI. It's an open-source validation framework that runs inside your own code. Add VeriProof later if a failed check ever needs a person to decide.

Discovery

You don't know which agents you have yet

VeriProof governs the agents you connect and doesn't search for the rest. Airia, ServiceNow AI Control Tower, or Microsoft Agent 365 can build that inventory first. Connect the agents that take consequential actions once you know what's out there.

Model risk

Your job is validating models

A model inventory, validation, and sign-off before deployment are what ModelOp and IBM watsonx.governance are built for. VeriProof works on what a connected agent does, not on the model behind it.

Assistants

Your AI drafts but never acts

A copilot that writes text for a person to send, or answers questions from a knowledge base, has no action to check. Tracing and evaluation tools such as Langfuse will tell you more about its quality.

GRC

You need a register of policies and controls

If the job is documenting policies, mapping controls, and collecting attestations, buy a GRC platform. VeriProof's evidence packs can sit inside one, but VeriProof isn't a register.

Closed agents

You can't change how the agent acts

VeriProof needs the agent to ask before it acts, through an SDK, the API, MCP, or a supported integration. For a closed SaaS agent you can't configure, lean on the vendor's own controls and identity tools like Microsoft Agent 365.

Build it yourself

You have one agent and one approval step

If a single agent needs a single sign-off, the approval step in your agent framework may be enough. VeriProof pays off once several agents, rule owners, and reviewers share the work.

None of these sound like you?

Bring the agent and the decision that matters most. Developer gives your team 60 days to evaluate the system free.