AI governance

AI governance for every agent, model, and request

Every AI request passes through Orq.ai before reaching an LLM, allowing you to enforce security, compliance, cost, and operational policies in real time — not after the fact.

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Faster to meet compliance standards

Visibility and auditability across every agent and model

10–40%

Lower LLM costs

Of AI projects fail without governance

Trusted by enterprises in production

Why governance matters now

Agent sprawl is outpacing AI governance

Fragmentation

Teams deploy agents independently. Nobody knows what’s running, where, or what it costs.

Fragmentation

Teams deploy agents independently. Nobody knows what’s running, where, or what it costs.

Shadow AI

Sensitive data flows through AI tools that were never reviewed, approved, or logged.

Shadow AI

Sensitive data flows through AI tools that were never reviewed, approved, or logged.

Compliance drift

EU AI Act and GDPR risk multiplies with every untracked agent and unlogged decision.

Compliance drift

EU AI Act and GDPR risk multiplies with every untracked agent and unlogged decision.

Cost opacity

Spend is scattered across models, providers, and teams until finance gets the bill.

Cost opacity

Spend is scattered across models, providers, and teams until finance gets the bill.

The fix is a governance layer on the critical path - one place that sees everything, enforces everything, and gives every team the freedom to move fast within clear boundaries.

Governance before execution

On the critical path

Because Orq.ai sits on the critical path, it sees all AI traffic and intervenes in real time. Other governance tools tell you what happened after the fact — when it’s too late.

Sees everything in real time

Every prompt, model call, and token flows through our AI Gateway and AI Observability before it reaches a model.

Intervenes before execution

Block, reroute, redact PII, or enforce a budget cap - in real time, before a response is returned.

Central control, decentralized delivery

The central team sets the standards and boundaries. Domain teams self-serve within them. No bottleneck, no shadow AI.

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What Orq.ai governs

Four pillars, one control plane

FinOps & cost management

Hierarchical budgets, real-time attribution, reporting, and 10–40% savings with Smart Router — by team, agent, and model.

FinOps & cost management

Hierarchical budgets, real-time attribution, reporting, and 10–40% savings with Smart Router — by team, agent, and model.

Security

RBAC, audit logs, guardrail policies, and kill switch controls enforced top-down across every environment.

Security

RBAC, audit logs, guardrail policies, and kill switch controls enforced top-down across every environment.

Privacy

Automated adversarial testing against the OWASP Top 10 for AI agents - such as prompt injection, jailbreaking, and prompt leakage.

Privacy

Automated adversarial testing against the OWASP Top 10 for AI agents - such as prompt injection, jailbreaking, and prompt leakage.

Compliance & registries

Centrally governed registers for models, agents, MCPs, skills, and tools with approval workflows before production.

Compliance & registries

Centrally governed registers for models, agents, MCPs, skills, and tools with approval workflows before production.

Who it’s for

Built for the teams responsible for AI at scale

Security, IT, platform, and finance leaders get one shared control plane for governing AI adoption, risk, and spend.

CISO & security teams

Full session visibility, real-time guardrail enforcement, automated red teaming, and complete auditability for AI agents.

CIOs & IT leaders

Central visibility into every AI system, agent, MCP, and tool running across the organization.

CIOs & IT leaders

Central visibility into every AI system, agent, MCP, and tool running across the organization.

CTOs & platform teams

One control plane across the AI stack, including coding agents, without slowing engineers down.

CTOs & platform teams

One control plane across the AI stack, including coding agents, without slowing engineers down.

CFOs & finance teams

AI spend by team, project, agent, and model. Hierarchical budgets that enforce themselves. ROI tracking per agent.

CFOs & finance teams

AI spend by team, project, agent, and model. Hierarchical budgets that enforce themselves. ROI tracking per agent.

FAQs

What enterprise teams ask us about AI governance

What does AI governance mean in practice?

Knowing which agents are running, what they can access, what they cost, and having a complete record of every decision — enforced on every request, not reported after the fact.

How is Orq.ai different from other governance tools?

Most tools sit outside your AI traffic and analyze data after the fact. Orq sits on the critical path, so policies are enforced before requests reach a model.

What is red teaming for AI agents?

Systematically attacking your own agents to find where they break. Orq’s workbench tests prompt injection, jailbreaking, secrets exfiltration, and system prompt leakage.

What is a compliance registry?

A centrally managed list of approved agents, models, prompts, and MCPs. Teams work from the approved list; anything outside it is blocked by default.

Can I set different policies for different teams?

Yes — at organization, department, team, project, and agent level. Set once, enforced automatically.

Does Orq.ai enable EU AI Act compliance?

Yes. Orq.ai provides capabilities for EU AI Act, GDPR, ISO 27001, and SOC 2 Type II readiness, including governance, auditability, and policy controls.

Can I deploy Orq.ai on my own infrastructure?

Yes — SaaS, VPC/customer cloud, or fully air-gapped on your own servers.

Governance before execution

Book a demo to see how Orq.ai’s governance layer works across your organization.

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