WWAIOS™, the WhiteWater AI Operating System, puts a deterministic gate between an AI agent and every action it takes. The action proceeds only when the context behind it is current, traceable to its source and authorized. The gate sits outside the model, so a model's confidence never decides whether it may act. Every decision, permitted or refused, leaves a tamper-evident record.
Models keep getting better. The gap is what happens between an agent's decision and its effect on the world. WWAIOS™ governs that gap.
Contested information.Stale, superseded or spoofed data reaches an agent faster than a person can review it. A confident model acts on it anyway.
Speed outruns authority.Agents write, task, allocate and send. Without an authority boundary checked at the moment of action, speed becomes exposure.
No trail, no trust.Operators and commanders need to reconstruct what an autonomous system knew, what it did and why, under scrutiny.
Simulated Results from the CVDC reference implementation under injected faults. Independent assessment produces the field numbers.
| Configuration | Unsafe commits on defective context | Unsafe commits in check-to-commit race | False rejects of valid actions |
|---|---|---|---|
| No gate | 100.00% | 100.00% | 0.00% |
| Model self-verification | 71.78% | 100.00% | 5.04% |
| Prompted refresh | 84.18% | 100.00% | 0.00% |
| Dependency revalidation | 74.12% | 61.18% | 0.00% |
| CVDC, bounded re-read | 10.94% | 50.14% | 0.00% |
| WWAIOS™ CVDC, conditional commit | 0.00% | 0.00% | 0.00% |
Reproducible from the reference implementation with a fixed seed. Fault types: stale, superseded, missing-provenance and broken-provenance context, plus duplicate execution.
Aircraft survivability breaks into susceptibility, vulnerability and recoverability. WWAIOS™ applies the same discipline to autonomous AI.
“We designed attack aircraft and missiles to survive contested environments. Autonomous AI needs the same discipline before it is trusted to act.”
Jimmy Standaert · Founder, RiGi Group · former Senior Research Engineer, Attack Aircraft & Missile, McDonnell Douglas & Boeing| Discipline | Aircraft | WWAIOS™ |
|---|---|---|
| Susceptibility | Avoid being hit | Proof gates and refusal states stop action on stale, poisoned or untraceable context. |
| Vulnerability | Withstand a hit | Bounded authority per agent and per action, so one compromised agent cannot cascade. |
| Recoverability | Return to mission | Forward tracing from any bad input to every action that consumed it shows exactly what to unwind. |
| Degraded ops | Keep flying with systems down | The gate runs locally with deterministic rules and fails safe: unverifiable evidence means stop and escalate. |
A university test and evaluation partner with no ties to RiGi Group runs the assessment. Failures are reported alongside successes.
Model-agnostic.Works with whichever models a program approves, including open-weight models hosted on premises.
Runs locally.The reference gate has no runtime dependencies and makes no external calls to reach a verdict, so it runs inside an enclave or disconnected network.
Independently verifiable.Decision records carry hashes and reason codes, never the underlying sensitive values, so the chain is verifiable without exposing mission data.
| Framework | Principle | WWAIOS™ mechanism |
|---|---|---|
| DoD Responsible AI | Traceable | Hash-chained decision record binding every action to the exact context it consumed |
| DoD Responsible AI | Reliable | Seeded fault-injection evaluation plus independent test and evaluation on a locked case set |
| DoD Responsible AI | Governable | Refusal and escalation states, human approval tokens bound to a single action |
| NIST AI RMF | Measure | Unsafe-commit and false-reject rates by fault type, reproducible from a fixed seed |
| NIST AI RMF | Manage | Risk-tiered policy with hard boundaries on authority, tenant isolation and duplicate execution |
Former Senior Research Engineer, Attack Aircraft and Missile, McDonnell Douglas and Boeing. Inventor of WWAIOS™ and named inventor on U.S. patent publication US20120284051. Kansas State University advisory boards for AI, machine learning and autonomous systems. IEEE ICAP board work on AI trustworthiness.
Leads architecture and delivery. Master Black Belt in Lean Six Sigma and certified SAFe practitioner. Kansas State University AI and autonomous systems advisory board participation.
University test and evaluation partner with no financial or governance ties to RiGi Group, reporting directly to the sponsor.
Request the technical brief, the CVDC specification or the RiGi Group capability statement.
WWAIOS™, the WhiteWater AI Operating System. The governance layer that sits around any AI model or agent and checks evidence, authority and receipts before AI-supported work becomes action. Built by Jimmy Standaert and RiGi Group.
