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 three-minute film — why ungoverned AI is a risk, how Aegis 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.
Aegis 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.
Aegis 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. Aegis lets it enforce what is right — and feeds real usage data back into governance.
| Stage | What OneCompliant already does | What Aegis 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 Aegis allows, redacts, or blocks at runtime. |
| Enforce (Aegis) | 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. | Aegis 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. Aegis 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."
Aegis 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 — Aegis 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 thinks: that was easier than ChatGPT. The CISO thinks: I can finally see and control this. If both are true in one demo, OneCompliant has a product, not a pitch."
Aegis 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, Aegis 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 prototype. Cost, carbon, and latency optimisation — and carbon reporting — are on the roadmap.
See it in the live demoAegis 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.
The interactive prototype shows the two screens that matter: the employee AI gateway and the security audit view. Launch it to watch Aegis inspect, redact, route, and log a real interaction — then switch to the Security & Audit tab to see the closed loop.
Opens the full Aegis governance demo — real inspection, real AI, real audit trail.
Launch demoWe will not pretend Aegis 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. Aegis is delivered today as governance and control; runtime AI security is deliberately sequenced behind it — built on the assessment, framework, and enforcement layer that already runs in production enterprises.
OASF, OASAT, OASAP — AI governance, AI risk assessments, and AI security reviews. In delivery today, with engagements at Merck KGaA, Orange Slovensko, Heidelberg Materials, and Avia Solutions Group.
The governed AI gateway: policy enforcement, prompt inspection, PII detection and redaction, model routing, audit trails, AI inventory, and AI approval workflows. Achievable now and in early access today.
The SaaS platform layer: prompt injection detection, model abuse detection, jailbreak monitoring, AI SIEM integration, and AI SOC telemetry. Planned and 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 runs in production now versus what we are building next."
What we replace for work use — great UX, zero control. Aegis 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. Aegis is the sanctioned alternative, not just a wall.
Locked to one ecosystem and one model family. Aegis 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. Aegis 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.
Aegis 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 inside these enterprises — 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."
Aegis is currently in prototype and early access. If you are a CISO, CIO, or enterprise security leader evaluating AI governance infrastructure, we would welcome a direct briefing.