One sanctioned place for employees to use AI — where every prompt, document, and model response passes through enforced, audited security controls. The runtime layer that turns governance from a report into a control.
The executive briefing as a short film — why ungoverned AI is a risk, how AYJIS masks, routes, and records every interaction, and what your auditors get out of it.
OneCompliant™ helps organizations adopt AI securely, responsibly, and at operational scale.
AI is already inside the enterprise. Employees are using public AI services, business units are integrating AI into workflows, and development teams are deploying AI-enabled solutions faster than governance models can adapt. Traditional security controls were not designed for AI-driven data movement, autonomous workflows, or dynamic model ecosystems.
OneCompliant was created to solve this gap.
We develop practical AI security and governance capabilities for regulated and enterprise environments — transforming AI governance from policy documents into operational controls.
AYJIS extends governance into operational reality. Instead of relying solely on policy statements or blocking access outright, organizations gain controlled enterprise AI access, policy-driven model routing, prompt and data inspection, runtime governance, audit visibility, and secure AI enablement across the enterprise.
OneCompliant is an AI innovation company focused on secure and governed enterprise AI adoption. As AI rapidly evolves, organizations face a growing gap between AI capability and operational governance. Enterprises cannot stop AI adoption — but they urgently need secure, compliant, and scalable ways to control how AI is used across their environments.
OneCompliant develops the governance, security, and runtime enforcement capabilities required for enterprise AI operations. Our product ecosystem combines governance frameworks, operational assessments, enterprise awareness, and runtime enforcement technology into a unified AI governance platform.
OneCompliant is positioned at the intersection of AI governance, cybersecurity, enterprise compliance, and operational AI infrastructure.
AI adoption will continue accelerating, while governance and operational security requirements become increasingly complex. The future enterprise AI market will require governed AI access, intelligent model orchestration, runtime policy enforcement, and auditable AI operations.
OneCompliant is developing the operational security and governance layer designed to support that future — building scalable AI governance and runtime security capabilities as enterprise AI ecosystems continue to evolve.
OneCompliant is built on real operational experience across telecom, pharmaceuticals, aviation, critical infrastructure, and global enterprise cybersecurity operations.
AYJIS is not a new direction. It is the missing runtime arm of a platform that already assesses risk, defines controls, and reports to the board. Today that platform can tell an enterprise what is wrong. AYJIS lets it enforce what is right — and feeds real usage data back into governance.
| Stage | What OneCompliant already does | What AYJIS adds |
|---|---|---|
| Assess (OASAT) | Fixed-price assessment scores AI risk against EU AI Act, NIST AI RMF and OASF. | Findings become actionable: the assessment maps directly to runtime controls that remediate them. |
| Frame (OASF) | Domain-based framework defines policy, control domains and authorisation boundaries. | Becomes the policy engine: OASF controls drive what AYJIS allows, redacts, or blocks at runtime. |
| Enforce (AYJIS) | Runtime oversight monitors AI decisions and data flows in production. | Turns monitoring into enforcement: every prompt and response passes through the control point. |
| Report & feed back | Executive risk reporting and audit-ready documentation. | AYJIS generates the live evidence — who, what data class, which model, what was redacted. |
"Assess, define, enforce, prove — one closed loop. The assessment tells you where the risk is. The framework defines the rules. AYJIS enforces them at runtime. And every enforcement decision becomes evidence that feeds back into governance — so the picture your board sees is grounded in what actually happened, not in policy documents."
AYJIS is one product with three faces. To the employee it is simply a better, faster place to use AI. To the security leader it is a control that measurably lowers AI risk. To the executive it is proof that AI governance actually operates — not just on paper.
A better place to work with AI. A fast, browser-based AI workspace that is genuinely better than pasting company data into a consumer tool. They ask for an outcome — AYJIS quietly selects a strong, approved model. The safe path is the easy path.
Risk that finally goes down. Every interaction is identity-bound, classified, and logged. Sensitive data is inspected and redacted before it leaves the boundary. Every decision is reconstructable for the board and the regulator.
A governed AI capability the board can stand behind. Every interaction is policy-checked and recorded, so when an auditor, key customer, or regulator asks how AI is controlled, the answer is evidence on demand — not opinions.
Browser chat + API. The product only works if it is the easy default. Everything hangs off this.
SSO + MFA, role-aware. Ties every interaction to a real person and role. Table stakes for a regulated buyer.
DLP driven by OASF. The core promise: secrets, PII, source code, regulated data never silently leave.
40–45 LLMs in the catalogue. Best model auto-picked per task. Confidential work forced to approved routes.
Every decision reconstructable. The evidence the CISO shows the board and the regulator. The proof the control is real.
"The employee experience is simple: that was easier than using ChatGPT directly. The CISO experience is just as important: I can finally see and control how AI is used. AYJIS is designed to make both true at once."
AYJIS maintains a catalogue of approved models and, for every request, applies the governance policy and routes to the best endpoint. The safe choice becomes automatic — so no one pastes confidential data into a consumer tool just to "get it done."
Spanning the major providers — OpenAI, Anthropic, Google, Microsoft Azure — alongside private and on-premise endpoints. Each registered, classified, and governed; the full catalogue is shared during a briefing.
Data sensitivity & compliance. Confidential or regulated data is forced to approved, private, or EU-hosted models; public models are blocked for those classes — before any other consideration.
Then, among the models that clear the gate, AYJIS optimises for what the task actually needs:
The most economical model that still meets the quality bar — no frontier-model pricing for routine work.
Route toward lower-carbon models and regions — and, because every call is logged, report the carbon footprint of AI usage for ESG and CSRD.
The fastest endpoint for interactive, low-latency work where responsiveness matters most.
The strongest model for complex tasks where accuracy is worth the extra cost or time.
Sensitivity-based routing and model selection are live in the current build. Cost, carbon, and latency optimisation — and carbon reporting — are on the roadmap.
See it in the live demoAYJIS is designed EU-first — hosted in the EU, with audit data remaining in the jurisdiction you choose.
Private-cloud and on-premise deployment paths for regulated environments where shared SaaS is not an option.
Access is identity-bound through your enterprise SSO — every AI interaction attributable to a person and a role.
Gateway and API integration alongside your existing security stack — SIEM export and DLP alignment are part of scoping.
Deployment architecture is agreed during scoping — request a briefing for the deployment and data-residency options relevant to your environment.
AYJIS is a runtime control point. It sits between your enterprise users, applications, and agents on one side and your approved AI services on the other. AI access is consolidated through AYJIS: every request routed through it is inspected, checked against policy, sent to an approved endpoint, and recorded. Governance stops being a document and becomes the path your governed AI interactions actually take.
Employees, internal applications, and AI agents request an AI outcome — through the browser workspace or the governed API.
The control point. Prompts and responses are inspected, sensitive data is detected, policy is enforced, and the request is approved, masked, blocked, escalated, or routed.
Only sanctioned, classified endpoints receive the request — public providers, private or EU-hosted models, or an approved downstream agent or tool.
Every decision — who, what data class, which model, what was masked — is captured as audit evidence and fed back into governance reporting.
The control flow above describes how a governed deployment operates. The runtime controls and enterprise capabilities are set out below.
Each request that passes through AYJIS is subject to the same set of runtime controls.
Every prompt is examined before it reaches a model.
Model responses pass back through the control point and are checked.
Secrets, PII, source code, and regulated data are identified in transit.
OASF-driven policy decides what is allowed at runtime — not after the fact.
Requests are routed only to registered, classified, approved endpoints.
The enforcement action fits the policy — from silent redaction to human escalation.
Every interaction is recorded so each decision is reconstructable.
Usage and enforcement data roll up into board- and audit-ready reporting.
The same control point governs registered agent actions routed through it — see agentic governance below.
As AI moves from generating answers to taking actions, governance must move with it. AYJIS applies identity, policy, delegated authority, limits, human approvals and tamper-evident evidence before a governed action proceeds — and records what actually happened afterwards.
Registered agents with accountable owners, lifecycle control, and per-agent credentials — an agent's identity is validated, never assumed.
Machine-readable grants: which capabilities, on which resources, within which limits, for how long, approved by whom — with a two-person rule on granting authority.
PERMIT / DENY / REQUIRE_APPROVAL decisions, bound to the exact action, single-use, replay- and tamper-protected.
Consequential actions require explicitly authorized business approvers — platform administration never implies business authorization.
An agent can never delegate more authority than it holds; revoking a parent authority ends the whole delegation chain.
Immediate revocation, execution receipts separating "authorized" from "actually executed", and full auditor reconstruction of every governed agent action from the tamper-evident evidence chain.
The interactive demo shows the two screens that matter: the employee AI gateway and the security audit view. Launch it to watch AYJIS inspect, redact, route, and log a real interaction — then switch to the Security & Audit tab to see the closed loop.
Opens the full AYJIS governance demo — real inspection, real AI, real audit trail.
Launch demoWe will not pretend AYJIS is already a runtime AI security platform on day one. It is not, and that is by design. You cannot secure at runtime what you have not first governed. AYJIS focuses today on governance and control, available in early access; runtime AI security is deliberately sequenced behind it — built on the assessment and governance foundation already proven in real regulated-enterprise engagements.
OASF, OASAT, OASAP — AI governance, AI risk assessments, and AI security reviews. In delivery today across telecom, pharmaceutical, aviation, and critical-infrastructure enterprises.
The governed AI gateway: policy enforcement, prompt inspection, PII detection and redaction, model routing, audit trails, AI inventory, AI approval workflows — and agentic governance: agent identities, authority envelopes, pre-action authorization, human approvals, and execution receipts for governed agent actions. Available in early access today for enterprise evaluation.
The SaaS platform layer: prompt injection detection, model abuse detection, jailbreak monitoring, AI SIEM integration, and AI SOC telemetry. On the roadmap — built on the governance foundation below it.
The specialist runtime layer: data poisoning detection, model drift monitoring, AI supply-chain integrity, and adversarial attack detection — model inversion and evasion. Our long-term vision, sequenced last and deliberately.
"Governance is delivered today. Runtime AI security is deliberately sequenced, not yet mature — and we say so. Credibility does not come from claiming to already be Palo Alto, Wiz, or CrowdStrike for AI. It comes from being precise about what is delivered today versus what we are building next."
AYJIS provides the runtime foundation for a broader AI governance control plane — connecting policy, security, model access, and auditability across enterprise AI. As autonomous agents begin to plan, act, and make decisions on the organisation's behalf, that same foundation gives every agent an identity, checks each action against policy, and records it as evidence — a governance layer built to outlast whichever models and frameworks come next.
Read the vision — AI Trust InfrastructureWhat we replace for work use — great UX, zero control. AYJIS keeps the UX and adds the control.
Route by model name for engineers. They do not solve shadow AI for employees or speak the CISO's language.
Can block AI sites — but blunt blocking drives shadow AI underground. AYJIS is the sanctioned alternative, not just a wall.
Locked to one ecosystem and one model family. AYJIS is the neutral, governed broker across all of them — backed by an independent framework.
"The real competitor is not a company — it is the status quo of 'ban it and hope.' Our entire pitch is: banning does not work. Here is the controlled alternative that does."
Enterprise security platforms are never adopted in one step — they are proven first. AYJIS enters the same way: a focused 30- or 60-day Proof of Value inside a single business unit, scoped to your real use cases and your real data classes. You see governed AI access, inspection, redaction, routing, and a live audit trail working against your environment — before any organisation-wide commitment.
One business unit, a defined set of use cases, and the data classes that matter most. We align the pilot to findings your OASAT assessment already surfaced.
AYJIS governs live AI usage for the pilot group: prompts inspected, sensitive data redacted, models routed to approved paths, every interaction logged.
A board-ready readout: what was governed, what was redacted, which models were used, and the audit evidence — the proof the control is real, then a path to scale.
"OneCompliant is already embedded in enterprise security decision-making — in the committees, with the decision-makers, against real use cases. A Proof of Value is not a cold pilot. It is the next, low-risk step from a governance relationship that already exists."
AYJIS brings runtime governance, enterprise integration, and audit-grade evidence together at a single control point — and adapts to the architecture you already operate.
Deployment architecture is designed around customer requirements and may include cloud, private cloud, or other enterprise deployment models depending on operational, regulatory, and security requirements.
OneCompliant works with customers to design deployment architectures, governance policies, integrations, and operating models appropriate to their security, compliance, and business requirements.
Every enterprise AI environment is different. AYJIS is designed to integrate into existing governance and security architectures — not to force organisations into a predefined deployment model.
AYJIS is currently in early access for enterprise evaluation. If you are a CISO, CIO, or enterprise security leader evaluating AI governance infrastructure, we would welcome a direct briefing.