EVE AI Core
The Infrastructure of No.
EVE sits above the AI stack you already run — OpenAI, Claude, Bedrock, Azure, LangChain, LlamaIndex, your identity, security, and data platforms — and turns every governed decision into a signed record you can verify independently. You don't buy another model. You buy the control plane that governs all of them.
You control which decision fields are sent; in VPC and on-prem deployments, governed content and evidence stay inside your boundary. With EU AI Act GPAI-model obligations applicable since 2 August 2025 and high-risk-system obligations phasing in from 2 December 2027 (Annex III) and 2 August 2028 (Annex I) under Regulation (EU) 2026/1744, and with SR 26-2 (the April 2026 interagency model-risk guidance that superseded SR 11-7, applied primarily to banking organizations above $30B in total consolidated assets) excluding generative and agentic AI from its formal scope while still expecting such technologies to be governed, the record has to exist at the moment of the decision. Trust Center · Security
Framework mappings describe technical control support and evidence capabilities. They do not constitute legal advice, regulatory certification, or a guarantee that a customer’s deployment is compliant. “SOC 2 Type II — In Progress” means an independent SOC 2 Type II audit is engaged (Decrypt CPA, via Scytale) and the observation period is underway; it is not a completed audit or an issued attestation.
One closed loop runs over every model invocation and agent step — and the same signed evidence travels with it from policy kernel to independent auditor.
Route any model invocation or agent step through EVE's deterministic policy kernel.
EVE CoreGuard →On the hosted service, auditors verify any record against the published ECDSA P-384 public key — independent, no EVE account. Self-hosted evecore records use a customer-held HMAC-SHA256 shared key for local integrity checks.
Run it in SaaS, your VPC, private cloud, or fully on-prem. Consistent evidence schema across deployment models — signing architecture appropriate to each deployment.
Deployment →Most AI governance platforms focus on visibility, dashboards, policy mapping, model inventory, and compliance workflows. EVE AI Core is designed as a deterministic enforcement and proof layer.
Visibility and workflow. Dashboards, model inventory, policy mapping, risk registers, and audit-ready reporting. Essential layers — but they observe and document AI systems. They don't stand between an AI system and its next action.
Enforcement and proof. Before an AI system, application, or agent takes action, EVE evaluates the proposed action against policy and returns an ALLOW, MODIFY, or BLOCK decision — deterministically. Afterward, EVE produces signed evidence that can be audited, verified offline, and replayed.
This makes EVE complementary to enterprise GRC and AI governance platforms, while providing a stronger runtime control layer for high-risk AI operations.
EVE AI Core is the deterministic runtime enforcement and cryptographic evidence layer for enterprise AI governance.
EVE plugs into the tools your teams already use and becomes the governance and evidence layer across all of them — instead of asking you to replace anything.
The differentiator isn't that EVE watches your AI — it's that every decision is a signed, verifiable, replayable artifact your controls team and your regulator can validate independently.
A single signed record — re-hashable and re-verifiable offline, without an EVE service.
A live governance coverage view across every connected system — the number auditors, CISOs, and regulators understand instantly.
Six layers, six questions. Every enterprise AI governance program has to answer all of them — EVE goes deepest where the stakes are highest.
EVE AI Core focuses on the enforcement, evidence, and replay layers while supporting inventory, policy, workflow, risk, and compliance mapping across the rest of the stack.
Paste a sample record into the verifier, then change one character and watch the proof break.