Compare/Veto vs Multifactor

Veto vs Multifactor

These are different categories. Multifactor is a password manager for AI account access. It lets you share online accounts with AI agents securely, with read-only access, fast revocation, and post-quantum encryption. Veto is a runtime authorization SDK. It controls what tool calls an AI agent can make. They solve different problems at different layers.

Honest assessment

If you are comparing Veto and Multifactor as alternatives, you are likely looking at "AI agent security" as a category and wondering which to pick. The answer is: they do not compete. Multifactor controls which accounts an agent can access and what permission level it has within those accounts. Veto controls which actions an agent takes with its tools, regardless of what accounts it can access. You might need both. You might need only one. It depends on your threat model.

What each product does

Multifactor

A password manager and secure account sharing platform for granting agents controlled access to online accounts. Its proxy pattern keeps credentials out of the agent context.

Core capability:

Checkpoint, a proxy that sits between an AI agent and your online accounts. The agent does not handle passwords. You can grant read-only access (e.g., "read transactions" but not "make transfers"), and revoke access without resetting passwords.

  • Share any online account via a link
  • Read-only mode limits credential exposure
  • Fast revocation without password resets
  • Decision record of who accessed what
  • Post-quantum encryption for credential storage

Veto

An open-source runtime authorization SDK for AI agents. Intercepts tool calls at the application layer and evaluates them against declarative policies before execution.

Core capability:

Policy engine, YAML rules that match on tool name, arguments, and context. Actions can be allowed, denied, or routed to human approval. Policy is evaluated before execution layer because it operates outside the LLM's reasoning.

  • Tool-call interception and evaluation
  • Human review workflows
  • Declarative YAML policies in version control
  • Framework integrations (LangChain, OpenAI, etc.)
  • Open source SDK (Apache-2.0)

Feature comparison

Many of these are not feature gaps. They are different categories entirely. Included for completeness.

CapabilityVetoMultifactor
Tool-call authorization
Human approval workflows
Declarative policy language
Secure account sharing
Password management
Read-only account access
Post-quantum encryption
Decision records
Open-source SDK
Framework integrations
Self-hosted option
MCP gateway support

Choose by threat model

Ask two questions. Your answers determine which product (or both) you need.

"How do I safely give my AI agent access to online accounts and third-party services?"

This is Multifactor's question. If your agent needs to log into your bank to check transactions, access your CRM to pull customer data, or browse internal tools on your behalf, Multifactor's Checkpoint proxy gives it access without exposing passwords. You control the permission level and can revoke at the permission boundary.

"How do I control what my AI agent does once it has access?"

This is Veto's question. Once the agent can access your systems (however it got credentials), what tool calls should be allowed? Should it be able to delete records? Approve transactions above a threshold? Access PII without logging? Veto evaluates each tool call against policies and routes review-required actions to human review.

Both questions? Use both products.

Multifactor gives the agent brokered account access. Veto controls what it does with that access. They operate at different layers and do not overlap.

Pricing

Veto

Open Source runs locally. Core adds shared approvals, decision records, export, and retention. See the pricing page for price, retention, and action limits. Use the Apache-2.0 local engine if you prefer.

Multifactor

Public plans focus on individuals and small groups. Enterprise access and support are quote-led.

Decision framework

Choose Veto when

  • You build AI agents that make tool calls
  • You need to control what actions agents take
  • You require human approval for sensitive operations
  • You need decision records for governed agent decisions
  • You want policies in version control
  • Agents already have API access; you need tool-call control

Choose Multifactor when

  • You need to share online accounts with AI agents safely
  • Agents need to log into websites on your behalf
  • You want read-only access without exposing passwords
  • You need fast revocation of agent access
  • You also need human-to-human account sharing
  • Post-quantum encryption is a requirement

Frequently asked questions

Are these different control points?
Yes. The analogy: Multifactor is like giving someone a key card to enter a building. Veto is like the security system inside the building that controls which rooms they can enter and what they can do in each room. One manages access, the other manages authorization. Both fall under "security" but they are different systems.
Which fits autonomous AI agents?
Veto targets autonomous agents that make tool calls. Its policy engine, approval workflows, and framework integrations are designed specifically for controlling agent behavior. Multifactor's agent features (via Checkpoint) are about giving agents secure account access, but a different problem. If your agents are autonomous and make decisions, you likely need Veto for the action control boundary.
Can I use Multifactor for account access and Veto for action control?
Yes. This is a natural pairing for teams that need both layers. Multifactor handles the credential layer (Layer 1-2), and Veto handles the authorization boundary (Layer 3). They operate at different points in the stack and complement each other.
Is Veto open source?
Yes. The SDK is Apache-2.0 licensed on GitHub. You can self-host the policy engine and keep local authorization checks on your infrastructure. Multifactor is positioned as a managed credential product, which makes sense for teams that want delegated credential handling.

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