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GUIDEJanuary 25, 2026

Virtual Cards vs Tokenized Cards vs Shared Tokens: Blast Radius Tradeoffs for Agents

A clean comparison of three credential models for agent spend: dedicated virtual cards, network tokenization, and shared/delegated tokens.

Signets
Signets Team
2 min read

Agent payment discussions often conflate “tokenization” with “safety.”

Tokenization helps. But the credential model you choose determines your blast radius and your ability to audit.

In practice, teams end up choosing among three models:

  1. Dedicated virtual cards (one per agent/workflow)
  2. Tokenized cards (network tokens, often still tied to a primary funding source)
  3. Shared / delegated tokens (agent borrows your main credentials with scoped parameters)

Dedicated virtual cards (isolation-first)

What it is: each agent/workflow gets its own card and spend bucket.

Strengths

  • fixed blast radius
  • clean audit trails (“everything on this card came from this agent”)
  • easier reconciliation

Risks

  • operational overhead if not automated

Best for: production agents with real money at stake.

Tokenized cards (security-first, not necessarily isolation-first)

What it is: a token represents a card or funding source without exposing the PAN directly.

Strengths

  • reduces raw credential exposure
  • integrates with existing rails

Risks

  • can still draw from a primary credit line
  • isolation depends on how the token is scoped and enforced

Tokenization is good hygiene. It’s not a blast radius guarantee.

Shared/delegated tokens (speed-first)

What it is: the agent requests scoped tokens to spend from an existing account.

Strengths

  • fast to integrate
  • flexible

Risks

  • blast radius can expand if policies fail
  • compromised agents can request broader scopes
  • drift is harder to detect when spend mixes

See: Why AI agents should never share credentials.

The decision rule

If you’re deploying agents in production:

  • Use dedicated credentials for isolation
  • Use tokenization as hygiene
  • Avoid shared tokens unless you can prove constraints are enforced outside the agent’s control

Bottom line

The credential model is the product.

Choose the model that stays safe when the agent is wrong, then layer policy and verification on top.

Related

Looking for agent spending controls? Start with MCP + skills, then choose a plan that fits your workload.

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