Prevented-Damage and Return-on-Investment Calculator for MITR Sentinel & Z3 Gate
When enterprise workflows transition to autonomous tool-calling agents, the primary financial exposure stems from low-frequency, high-severity execution failures on tiers R4 and R5 rather than model inference fees. A single unauthorized wire transfer, an accidentally purged litigation record, or an outbound personal data leak erases an entire year of automation savings.
Use the interactive model below to estimate annual prevented operational losses and audit engineering savings for a specific daily tool-call volume.
1. Interactive Annual Impact Model
WORKLOAD VOLUME & INCIDENT EXPOSURE PARAMETERS
ESTIMATED ANNUAL FINANCIAL IMPACT WITH MITR GATEWAY
Intercepted R4–R5 violations / total high-risk calls per year |
29 / 36 500 |
| Prevented direct operational and regulatory damage | 13 050 000 RUB |
| Saved engineering & compliance audit preparation cost | 1 180 800 RUB |
| Net annual benefit after Protection-117 enterprise license | 13 642 800 RUB |
| Estimated license payback period | 15 days |
2. Three Verifiable Drivers of Gateway Return on Investment
- Deterministic blocking of
R4–R5boundary violations: Even when an underlying language model achieves ninety-nine percent reliability, unguarded tool execution still produces dozens of boundary violations per year at enterprise volume. TheZ3solver blocks every predicate violation prior to socket delivery. - Autonomous self-correction via
retry_of: Returning the minimal unsatisfiable core enables the agent to repair or downgrade its request in milliseconds without waking an on-call engineer. - Automated compliance replay: Replaying
gate_actions.jsonlwithverify_chain_standalone.py --replayeliminates manual log reconstruction during statutory audits.