Airia
by Airia
Discover, secure and govern every AI model, agent and MCP server in the enterprise
Airia is an enterprise AI security, orchestration and governance platform that inventories every model, agent and MCP server running inside an organisation, blocks unauthorised agent actions at the execution layer, and produces continuous compliance evidence. It is aimed at security and AI-platform teams in regulated industries that need to let staff use AI without losing control of data, spend or auditability.
Airia is an enterprise AI security, orchestration and governance platform founded in 2024 and headquartered in Atlanta, Georgia, with additional bases in Singapore, London, Dubai, Melbourne, Sofia and Bangalore. It sits between an enterprise's staff and the models, agents and MCP servers they use, and covers four functions from one control plane. Discovery inventories the AI tools, models, agents and MCP servers already running in the environment, including unapproved shadow AI outside the managed inventory. Security applies runtime guardrails that stop unauthorised agent actions at the execution layer, enforces granular data and tool permissions through agent constraints, and red-teams agents with simulated prompt-injection and data-exfiltration attacks before they reach production. Governance maintains a live AI inventory with dynamic risk classification, human-in-the-loop approval workflows, full audit trails on every interaction, and automated reporting mapped to the EU AI Act, NIST AI RMF, ISO 42001, SR 11-7, HIPAA and SOC 2. Orchestration adds a drag-and-drop agent builder, a sandboxed prototyping studio, an intelligent routing engine across OpenAI, Anthropic, Google, Mistral and Meta models, and real-time per-team budget enforcement. In September 2025 Airia shipped an MCP Gateway to Enterprise-tier customers: a secure proxy that brokers agent access to hundreds of MCP servers including GitHub, Atlassian, Slack, Microsoft, Twilio, Stripe, HubSpot, MongoDB and Notion without exposing credentials, with instant revocation of compromised connections and per-call audit logging. Co-founder John Marshall, who previously co-founded AirWatch before its $1.54 billion sale to VMware and was co-chairman of OneTrust until 2023, committed $100 million of personal capital in September 2025, structured as $50 million invested plus a further $50 million commitment. CEO Kevin Kiley reported more than 500 paying customers and roughly 170 employees by March 2026, up from 300+ enterprise customers a year earlier. Named customers include Mars, ArcelorMittal, Northwestern University, BuzzFeed and 8x8.
The security or AI-platform team at a regulated enterprise that has already lost track of which models, agents and MCP servers its staff are using and needs one control plane to inventory, constrain and evidence all of it.
A single enforcement point that blocks unauthorised agent actions before they execute and emits the audit trail and framework-mapped compliance reporting the AI programme is going to be asked for.
At a Glance
- Category
- Governance & Security
- Pricing
- Subscription, Usage-based, Contact for pricing
- Target Market
- CISOs, CIOs, CTOs, AI Platform Engineers, Enterprise Developers, Risk & Compliance Leaders
- Deployment
- Cloud-first, Hybrid, Self-hosted
- Founded
- 2024
- Headquarters
- Atlanta, United States
- Team Size
- 51-200
- Customers
- 500+ paying customers (March 2026); 300+ enterprise customers reported at the September 2025 funding announcement
Key Features
- ✓AI Discovery
Continuously inventories every model, agent, assistant and MCP server in the environment, surfacing unapproved shadow AI that never went through procurement or review.
- ✓Runtime guardrails and agent constraints
Enforces granular data and tool permissions and stops unauthorised agent actions at the execution layer, before the tool call is allowed to run.
- ✓Agent red teaming
Simulates prompt-injection and data-exfiltration attacks against an agent in a sandbox so failures surface before production rather than after an incident.
- ✓MCP Gateway
A secure proxy brokering agent access to hundreds of MCP servers without exposing credentials, with instant revocation and full per-call audit logs.
- ✓Automated compliance reporting
Generates continuous governance documentation mapped to the EU AI Act, NIST AI RMF, ISO 42001, SR 11-7, HIPAA and SOC 2.
- ✓Intelligent model routing with budget enforcement
Routes requests across OpenAI, Anthropic, Google, Mistral and Meta models while enforcing real-time per-team spend quotas.
- ✓Agent builder and prototyping studio
A drag-and-drop no-code builder plus a sandboxed studio for validating agents against real systems before any production rollout.
Capabilities
Use Cases
- •Shadow-AI audit before a board review
Security scans the estate, produces a full inventory of unsanctioned AI tools and MCP servers, and classifies each one by risk ahead of the review.
- •Safely connecting coding agents to internal systems
Developers using Claude, Cursor or ChatGPT reach GitHub, Atlassian and Slack through the MCP Gateway, so no agent ever holds a long-lived credential.
- •Pre-production agent assurance
Every new agent is red-teamed for prompt injection and data leakage in a sandbox, and blocked from promotion until it survives the simulated attacks.
- •EU AI Act and ISO 42001 evidence collection
Governance emits audit trails and framework-mapped documentation continuously, replacing the spreadsheet scramble each time an auditor or regulator asks.
- •Controlling multi-model AI spend across business units
The routing engine sends each workload to an appropriate provider while per-team budgets cap runaway token spend before finance discovers it.
Ideal For
Best For
- ✓Discovering shadow AI — unsanctioned models, assistants and MCP servers already running across the estate
- ✓Brokering agent access to internal tools through an MCP gateway without handing agents raw credentials
- ✓Red-teaming agents for prompt injection and data exfiltration before they are promoted to production
- ✓Producing continuous, framework-mapped governance evidence for EU AI Act, NIST AI RMF, ISO 42001 and SOC 2 programmes
- ✓Routing workloads across OpenAI, Anthropic, Google, Mistral and Meta with per-team spend caps
Not Ideal For
- ✗Solo founders and early-stage startups — the governance, discovery and compliance machinery is the product, and it is overhead you have no obligation to carry yet
- ✗Teams that just want to ship a single chatbot quickly; independent reviewers rate ease of use around 3.2/5 and note a steeper learning curve on small projects
- ✗Buyers who need only model routing and cost control, where open-source options such as LiteLLM or Portkey do that part far more cheaply without the governance suite
- ✗Anyone needing production volume on a self-serve plan — the published Team tier caps at 50,000 workflow executions a month
Deployment
Market & Ratings
500+ paying customers (March 2026); 300+ enterprise customers reported at the September 2025 funding announcement
Market Analysis
Pros
- ✓Unusually broad functional coverage for one product — discovery, runtime security, governance reporting and multi-model orchestration in a single control plane
- ✓MCP Gateway removes long-lived credentials from agent-to-tool connections and adds instant revocation plus per-call audit logs, which is a concrete answer to a live 2026 attack surface
- ✓Compliance output is mapped to named frameworks (EU AI Act, NIST AI RMF, ISO 42001, SR 11-7, HIPAA, SOC 2) rather than left as raw logs to interpret
- ✓Independent reviewers score features and depth (4.3/5) and integrations (4.1/5) highest, and a no-credit-card entry tier lets teams evaluate before talking to sales
- ✓Founder-funded with $100M and 500+ paying customers inside two years, so the vendor-viability question is weaker than for most 2024-vintage AI startups
Cons
- ✗Airia's own certification posture is not publicly evidenced — its trust-centre URL returns 404, and the SOC 2 / ISO 42001 material describes reporting it generates about your AI systems, not attestations Airia itself holds. Ask for the reports directly in diligence.
- ✗Independent reviewers rate value for money at 2.7/5 and customer support at 2.9/5, the two weakest scores in the assessment, and support channels are undefined on the self-serve plans
- ✗The security layer adds latency — reviewers note slightly longer response times than calling ChatGPT or Claude natively
- ✗Self-serve tiers are evaluation-sized, not production-sized: 50,000 monthly executions on the $250 Team plan runs out quickly under real workloads, and everything enterprise-grade sits behind an opaque quote
- ✗The review base is very small (roughly 11 G2 reviews), so published ratings near 4.9/5 carry little statistical weight for a buyer
- ✗Competing MCP-gateway analyses argue a security-first platform still leaves managed deployment, SCIM-driven RBAC and hosted connector operations to the customer
Pricing
Professional
From $25/mo
- ✓2 team members
- ✓Up to 2,500 workflow executions/month
- ✓5 agent workflows
- ✓No-code builder
- ✓Standard data connectors
- ✓Web and chat interfaces
Team
From $250/mo
- ✓15 team members
- ✓Up to 50,000 workflow executions/month
- ✓100 agent workflows
- ✓Advanced data connectors
- ✓Advanced security and governance
- ✓Advanced model management
Enterprise
Contact for pricing
- ✓Unlimited team members and workflows
- ✓Intelligent routing engine
- ✓AI observability and MCP Gateway
- ✓SSO/SAML and audit logs
- ✓Private cloud or on-premise hosting
- ✓Custom SLAs and dedicated support
Airia publishes self-serve tiers on its plan-terms site — Professional at $25/mo for 2 users and 2,500 monthly workflow executions, and Team at $250/mo for 15 users and 50,000 executions — with no long-term commitment. Everything an enterprise actually buys it for is gated behind an unpublished Enterprise quote: the MCP Gateway, intelligent routing, AI observability, SSO/SAML, audit logs and private-cloud or on-premise hosting. The main site routes its pricing link to a demo request rather than a price, and third-party reviews list a different tier structure (a free tier plus a $50 individual plan), so treat any figure other than the plan-terms page as stale. Metering is by user seat and monthly workflow execution, not tokens, and independent reviewers rate value for money at only 2.7/5.
Security & Compliance
Connect
Sources
This page was written from 8 sources, 5 on domains other than airia.com.
- 1.airia.com — airia.comvendor
- 2.airia.com — airia secures 100m in fundingvendor
- 3.legal.airia.com — pricing
- 4.airia.com — airia launches mcp gatewayvendor
- 5.siliconangle.com — airia raises 100m co founder build security foundation enter
- 6.roughdraftatlanta.com — airia expands midtown atlanta
- 7.hackceleration.com — airia
- 8.mintmcp.com — airia with mcp
Stay Ahead of the Curve
Weekly enterprise AI insights for technology leaders. No spam, no vendor pitches—unsubscribe anytime.
SubscribeRelated Products
DeepKeep
AI security platform covering red teaming, an AI firewall, agent attack-surface scanning and runtime controls for coding agents
Armadin
Autonomous offensive security: AI agent swarms that chain your weak spots into proven attack paths before an attacker does
WitnessAI
Network-layer AI security and governance for employee AI use, models, apps and agents
Ascerta
Enterprise AI management: measure the ROI, cost and adoption of every AI initiative, agent and coding tool