What is deterministic AI governance?

Deterministic AI governance enforces policy with reproducible, rule-based logic that returns the same verdict for the same inputs every time — producing an auditable, replay-verifiable decision rather than a probabilistic score.

Why are probabilistic guardrails insufficient for regulated AI?

Probabilistic guardrails return a likelihood, not a guarantee. They drift between runs, cannot be reproduced for an examiner, and provide no deterministic record of why an action was allowed or blocked — which regulated controls require.

The Governance Standard for Regulated AI

Deterministic
AI Governance

Probabilistic guardrails tell you an action is probably fine. Regulated industries can't run on "probably." Deterministic governance enforces policy with reproducible logic and leaves a record an examiner can verify — the same verdict, every time, with proof of why.

Book a Governance Assessment See Regulatory Mappings

EU AI Act · SR 26-2 · HIPAA · ECOA · NIST AI RMF

Same in,
same out

Reproducible verdicts

Regulatory frameworks mapped

100%

Decisions with an audit record

Pre-LLM

Policy enforced before generation

Explore

The case for deterministic governance

Each topic has its own page — start anywhere.

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What Deterministic Means →

Rule-based, reproducible, accountable enforcement — a control, not a suggestion.

📊

Why Probabilistic Fails →

The questions an examiner asks that a classifier score can't answer.

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Regulatory Mappings →

EU AI Act, SR 26-2, HIPAA, ECOA, NIST AI RMF — obligation to control.

📝

Governance Principles →

The five commitments every EVE product is built to satisfy.

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Articles & Research →

Long-form thinking on enforceable, provable AI governance.

🎓

Academy & Research →

Training as signed evidence, plus the patent portfolio behind it.

SDK

Governance you can import

Enforce policy and independently verify the resulting evidence from your own code. Published on PyPI and npm.

Enforce — Pythonpip · eve-coreguard

# pip install eve-coreguard
from eve_coreguard import CoreGuardClient

client = CoreGuardClient(api_key="eve_sk_…")
result = client.evaluate(
    tenant_id="org_acme",
    proposed_action={"type": "diagnostic_conclusion"},
    policy_set="healthcare_v1",
)
print(result.verdict)  # ALLOWED | BLOCKED | MODIFIED

Verify — offlinestandalone · ECDSA P-384 public key

# standalone verifier imports NOTHING from EVE — just: pip install cryptography
# confirm a signed decision with EVE's PUBLIC key — no shared secret, no vendor
$ python verify_eve_decision.py proof.json --pubkey eve-pubkey.pem
✓ VERIFIED  # ECDSA P-384 key published at /.well-known/eve-pubkey

SDK docs Verify evidence →