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AI Security Cost Calculator.

AI security costing goes wrong differently from governance costing. Governance cases fail for lack of a counterfactual. Security cases fail because they price the project and ignore the tax, meaning the latency, tokens, storage and compute that every defensive control adds to every request, forever. A guardrail that costs nothing in licence and 180 milliseconds plus 400 tokens per call is not free. At ten million calls a year it is a line item larger than the engineering that built it, and it arrives without a purchase order.

In depth

The Pool Nobody Models Is The One That Grows.

01

What happens by default: the engineering work gets costed and the tax does not.

Nothing in the total accounts for 60 to 250 milliseconds and 150 to 500 extra tokens on every call, storage for full input and output logging at four to eight kilobytes a request, or the retry cost when validation fails. At nine million calls a year that omitted pool runs $27,000 to $147,000. At ninety million it is $271,000 to $1.47M, and the first person to notice it in a cloud bill proposes removing the control rather than the cause.

In short47M, and the first person to notice it in a cloud bi…
02

What good costing does: it models the tax at three to five times current volume.

That is the horizon where the vendor versus self-hosted crossover sits, usually between fifteen and forty million calls a year. Spend gets ranked by exposure removed per dollar rather than by category, which puts agent tool scoping first at under ten thousand dollars and guardrail procurement well down the list. And product signs the latency budget explicitly, because 300 to 500 milliseconds on a conversational surface is a product regression that gets quietly reversed if security owns that decision alone.

In shortAnd product signs the latency budget explicitly, bec…
The detail

Where The Money Actually Goes.

Three findings from the model change how most teams sequence their spend, and all three run against the intuitive order.

Zone · 01

The architectural controls are the cheap ones

Instruction and data separation, retrieval authorisation, schema validation and scoped tool permissions together cost under $12,000 a year at nine million calls, and they address the two highest-severity attack paths. Guardrail products cost three to nine times as much and address the path that is hardest to close by any means.

Zone · 02

Cost per unit of exposure removed

Bounding agent scopes costs about $9,750 and removes irreversible production change. Rebuilding output and retrieval boundaries costs about $24,000 and removes cross-tenant breach. Hardening context costs about $21,000. The severity ratios differ by more than an order of magnitude while the costs differ by less, which is why ordering matters more than the total.

Zone · 03

The retrofit multiplier

These ranges assume adding controls to a system already in production. If retrieval authorisation was never designed in, the boundary phase carries a re-index and a data migration adding fifteen to thirty engineer-days on its own. The same control costs roughly a third as much designed in rather than retrofitted.

By the numbers

The figures that make it a board-level conversation.

68%
of inference spend is what AI security costs in year one
37%
where that ratio converges by year three as call volume grows
$9,750
to bound agent tool scopes, removing the only irreversible attack path
Inside the report

What you'll take away.

01

Step 1 - Pull your real inference volume and token cost

Get calls per year, average tokens per call and blended cost per million tokens from the provider console, then project three years out.

02

Step 2 - Cost the per-request tax before the project

Apply the per-control latency and token overheads to your own volume. This is the pool that decides vendor versus self-hosted, and it is usually missing entirely.

03

Step 3 - Rank the spend by exposure removed per dollar

Eight priorities with typical effort and the reason for each position. Agent tool scoping first, guardrail purchases seventh, which is the inverse of most budgets.

04

Step 4 - Split the first phase out as its own ask

Under $10,000 to remove the only irreversible attack path. Presented alone it is a decision; buried in a $233,500 programme it waits for the next planning cycle.

Questions

Frequently asked.

What does AI security cost as a share of inference spend?

Roughly 68% in year one, converging toward 37% by year three as volume grows. That ratio is the most useful single planning figure in the model, because it scales with your business rather than your headcount and it argues for building controls before volume arrives rather than after.

Should we buy a guardrail platform or build filtering ourselves?

Buy below roughly fifteen million calls a year, host above roughly forty million, and decide deliberately in between. The more important point is ordering: a guardrail bought before agent tool scopes are bounded creates the appearance of coverage over an unbounded action surface.

How much does an external AI red team engagement cost?

Typically $25,000 to $85,000 depending on scope and surface count. Book it at the end of the boundary phase rather than after everything ships, because findings that arrive while the architecture is still being designed change it, while the same findings six months later become a backlog.

We have no dedicated AI security budget. Where do we start?

The first phase, at roughly $9,750 and two to three engineer-weeks. Enumerate every agent tool and credential, revoke write access not justified in writing, issue per-service credentials, and set rate and spend ceilings. It is the cheapest phase and removes the only failure that destroys rather than leaks.

Does the cost change much if we do not run agents?

Yes, materially. The first phase shrinks, the largest exposure line disappears, and the agent override rules stop applying. Your remaining concentration is output handling and cross-tenant retrieval, both conventional problems reached through a novel path and both comparatively cheap to close.

How do we justify this to a CFO who sees AI as a growth investment?

Use the ratio and the counterfactual together. Security at 68% of inference spend sounds high until it sits beside $207,000 to $434,000 of annualised status-quo exposure, most of it deal friction rather than hypothetical breach cost. Then split the first phase out as a small, decisive ask.

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Next step

Security runs at about a third of inference spend once volume arrives.

Work through your own volume and architecture with our engineering leads, and we will tell you where the crossover sits. A working session, not a sales pitch. SECTION 7 - FAQ - 5 to 8 questions

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