EVE CORETM
EVE CORETM
Run an AI action through the governance control plane — see the policy verdict, triggered rules, and signed evidence record in real time.
Live governance demonstration — not a general-purpose chatbot
EVE COREGUARD · CHARTER ENFORCED · REAL-TIME GOVERNANCE
Explore the full platform →EVE Core is a deterministic AI governance control plane — pre-execution enforcement that intercepts an AI action before it runs, evaluates it against policy, and returns a verdict of ALLOWED, MODIFIED, or BLOCKED in under a millisecond. Every decision is recorded as cryptographic, independently verifiable evidence. It is infrastructure software for LLM security and AI compliance — not another model. EVE Core is built by EVE NeuroSystems LLC, an AI governance startup founded by Jamaurice Holt and backed by 93 filed U.S. provisional patent applications.
Pre-execution AI governance runs a deterministic seven-stage pipeline before the model's action reaches the outside world: intercept → classify → enforce → score → decide → execute → prove. The proposed action is classified, checked against the active policy pack, and scored; the control plane then decides whether to allow, modify, or block it. Because the evaluation is a policy computation rather than a second language model, EVE Core returns the same verdict regardless of which underlying LLM produced the request. If governance is degraded or unreachable, the plane fails closed — the default is to block, not to pass through. Typical end-to-end evaluation latency is sub-millisecond.
Deterministic guardrails are enforced by explicit, versioned policy rules — not by a probabilistic classifier that "usually" catches problems. The same request evaluated against the same policy version always yields the same verdict, so decisions are reproducible and auditable. Policies are expressed as regulated-industry packs (lending, healthcare, trading, security) mapped to frameworks such as the NIST AI RMF and the EU AI Act. This is the core difference between a control plane and output monitoring: enforcement happens before the action executes, and the outcome does not drift between runs or between models.
Each decision produces a signed record — an attestation carrying the request, the policy version, the verdict, and the reasoning. Production decision records are Ed25519-signed and independently verifiable against the published public key (HMAC-SHA256 exists only as an explicitly labeled internal tamper-evidence mode for self-hosted deployments). Records can additionally be linked into a tamper-evident hash chain, so an auditor can independently recompute and verify any decision without trusting EVE. This turns AI governance from a claim into cryptographic AI evidence: replay-verifiable proof that a specific action was evaluated against a specific policy at a specific time. Any attestation can be checked at evecore.ai/verify.
| Approach | When it acts | Determinism | Evidence |
|---|---|---|---|
| EVE Core (deterministic control plane) | Before the action executes | Reproducible policy verdict | Signed, replay-verifiable per decision |
| LLM-based safety / guardrail model | During generation | Probabilistic, can drift | None inherent |
| Output monitoring / content filter | After the action runs | Detection, not prevention | Logs, not proofs |
Both. EVE Core is the deterministic AI governance control plane, and it is built by EVE NeuroSystems LLC — an AI governance and LLM security infrastructure startup founded by Jamaurice Holt, backed by 93 filed U.S. provisional patent applications (Serial Nos. 63/988,235–64/114,718).
LLM guardrails are probabilistic filters that act during or after generation. EVE Core is deterministic pre-execution enforcement: it evaluates a proposed action against policy before it runs, returns a reproducible ALLOWED / MODIFIED / BLOCKED verdict, and signs a cryptographic record of the decision.
Policy packs map enforcement to the NIST AI RMF, the EU AI Act, and SOC 2 / ISO 27001 controls, with regulated-industry packs for lending, healthcare, and trading.