Enable AI in your organisation, safely.
Give your teams the benefit of AI, with full control of its cost, data, and how it’s used, across every provider and agent.
- Keep your architecture as-is
- Layers onto the tools you already run
- Live in days, not quarters
Every request logged to your audit trail as it runs.
AI keeps flowing, under control, before your data leaves the building.
The biggest risks limiting AI adoption in your business today
The obstacles standing between your teams and the value AI can deliver. Every business faces them and the stakes rise with your obligations.
Loss of control over data
People and agents send data straight to AI providers with no control point in between, including regulated data you’re accountable for.
Cost with no ceiling
AI spend with no caps and no attribution by user, team, or workload resulting in unbudgeted operational risk.
Shadow AI
No one can say which AI tools are in use, by whom, or on what data and workflows, creating an un-auditable control gap.
No record of AI’s actions
No audit trail of what AI did on your behalf when something goes wrong, the tamper-evident evidence regulators now demand.
AI, enabled, with cost and use in plain sight
One live console showing what AI is being used, by whom, and what it costs, with your policies enforced on every request.
- Spend metered against caps, per team and workload
- Policy decisions as they happen, enabled, capped, or held
- Usage attributed, so shadow AI becomes governed AI
The full benefit of AI, without losing control.
Give your teams the tools they want, with the confidence that cost, data, and use are managed. See it running in your own environment in an 8-week pilot, no procurement required.
The platform scales to your business
The same control plane scales to fit your business. Clean control of AI cost, policy, and usage for smaller teams, with audit-grade assurance and framework mapping for a regulated organisation.
Every tier produces the signed, tamper-evident audit trail. Compare the tiers →
Your existing stack wasn’t built for this
Each of these tools does its job. But none can step in at the moment AI acts, when a prompt, agent, or tool-call reaches a model. That’s the point Helixar controls: every request is checked against your policy and allowed, capped, held, or blocked in real time.
Endpoint / EDR
Stops malware and compromised devices.
Checks what an agent actually sends to a model, and whether your policy allows it, at the moment of the request.
Identity / SSO
Controls who can log in, and to what.
Governs what people do with AI after sign-in, per request, per tool-call.
DLP
Watches files leaving through email and storage.
Sees the prompts, context, and API calls going to AI providers, and enforces policy before they leave.
AppSec / API gateways
Secures traffic to your own apps and APIs.
Applies your policy and maintains one audit trail across every external AI provider.
Each tool stops at its own layer. Helixar acts at the moment AI does.
What is an AI control plane?