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Exposure Calculator
Two numbers most organizations have never worked out. What a stolen set of API credentials costs you before anyone notices, and what the published average breach figure is for a situation like yours. Your inputs stay in your browser.
Your situation
The five option lists are ours; every figure they select comes from our published data. Your inputs stay in this browser — nothing here transmits anything.
What that adds up to
EXPOSURE 1 · CREDENTIAL COMPROMISE AT MACHINE SPEED
Unauthorized inference on your account, before you notice
Scaled to your spend
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Attacker runs at 3 times your current burn rate.
Observed case
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Sysdig measured roughly $50,000 in 4.5 days from a single proxy.
Modelled ceiling
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Sysdig's calculated ceiling if an attacker maxes quota across regions. Modelled, not a measured loss.
SCALED TO YOUR SPEND
…
Attacker runs at 3 times your current burn rate. Three different methods, not a low-to-high range.
OBSERVED CASE
Sysdig measured roughly $50,000 in 4.5 days from a single proxy
MODELLED CEILING
Sysdig's calculated ceiling if an attacker maxes quota across regions
EXPOSURE 2 · IF A BREACH ACTUALLY LANDS
Published average cost for a breach of this type
Your region
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IBM, Cost of a Data Breach 2026.
Your exposure type
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IBM, Cost of a Data Breach 2026.
Shadow AI
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$5.39M where shadow AI was involved, $4.63M where it was not.
Three separate published averages, shown side by side and never added together.
This is an industry average cost if it happens, not a probability-weighted expected loss. We are not going to invent a likelihood figure for your organization, because we do not have one and neither does anyone selling you a calculator that produces one.
FOR COMPARISON
What the control costs
$48,000 per year - AI-Sentinel plus AI-Armory at the enterprise tier for up to 100 employees. $4,000 a month.
Entry tier from $100 per user.
Sources and honesty notes. Breach figures are from IBM's Cost of a Data Breach Report 2026, published 29 July 2026, based on 602 organizations breached between March 2025 and February 2026: $4.99M global average, $11.5M United States average, approximately $6M for AI-enabled breaches, $5.89M for prompt-injection breaches, $6.07M for model-inversion breaches, and a $5.39M against $4.63M difference where shadow AI was involved. Credential-compromise figures are derived from Sysdig LLMjacking research: the observed case is roughly $50,000 of stolen compute in 4.5 days from a single monitored proxy, and the modelled maximum of $46,000 per day is Sysdig's calculated ceiling rather than a measured victim loss. We label it that way because several vendors do not. This tool produces an order-of-magnitude illustration to support a budget conversation. It is not a risk model, an actuarial estimate or a quotation.
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