Airia: Security & Privacy software

Airia is an artificial intelligence security and governance platform that provides central visibility and policy enforcement across enterprise AI systems.

AI Tools Security & Privacy

What is Airia?

Airia serves as a continuous software platform designed to give enterprise organizations centralized control over their artificial intelligence ecosystem. By bringing visibility, real-time runtime enforcement, security, and governance together into a single control plane, the system helps management teams monitor and regulate every model, agent, and tool operating within their environment. The technology is specifically designed for agentic workflows where automated tools perform direct actions across business infrastructure, rather than simply generating textual responses.

The software offers comprehensive discovery capabilities to uncover hidden or unapproved software components across an enterprise network. It continuously scans for active models, digital agents, Model Context Protocol servers, and third-party applications. By identifying personal AI subscriptions and unsanctioned tools connected to corporate systems by employees, the platform brings shadow applications into an audited inventory before unmonitored tools create compliance liabilities or security vulnerabilities.

Real-time security operates directly at the execution layer to stop unauthorized agent activities before they affect underlying systems. Rather than evaluating inputs and outputs after completion, the platform intercepts operations prior to tool executions, database queries, or outbound email transmissions. Security controls include data masking and encryption to safeguard confidential records, automated task routing based on business logic, security posture management, and simulated red teaming attacks to evaluate software resilience.

Governance and compliance functions are directly embedded into daily execution processes rather than handled as post-hoc manual reviews. The platform automatically builds tamper-evident audit logs covering all agent interactions and decisions. It provides tools to dynamically classify risks across agents, models, and data sets, while generating automated compliance documentation aligned with regulatory frameworks such as the EU AI Act, NIST AI RMF, ISO 42001, HIPAA, GDPR, SR 11-7, and SOC 2.

Orchestration capabilities within the platform include an Agent Builder that supports drag-and-drop visual design alongside no-code, low-code, and pro-code customization options. Development and operations teams can automate manual operational workflows by connecting agents to internal data repositories and cloud applications. Pre-configured policies ensure that newly built or vendor-embedded capabilities comply with organizational guardrails from early testing through full production deployment.

Designed to function across complex technology stacks, the platform integrates with existing cloud infrastructure, collaboration applications, data warehouses, and productivity tools. Enterprise teams can establish human-in-the-loop review steps for high-risk actions, apply consistent security policies across commercial software with native AI features, and continuously assess operational risk metrics. This provides a unified oversight layer that connects technical development, administrative IT controls, operational efficiency, and legal compliance.

Main category: Security & Privacy
Also listed in: AI Tools
Official website: airia.com
Status: Not yet published

Airia use cases

Uncovering and Regulating Shadow AI Tools

Enterprise security groups can use the software to maintain active oversight over unapproved software applications across their organization. The system locates hidden artificial intelligence tools, unauthorized browser extensions, and individual user accounts linked to corporate infrastructure. By bringing unmonitored digital assistants and Model Context Protocol instances into a single inventory, administrators can evaluate potential security exposure, revoke unsafe privileges, and ensure that all active software complies with internal security guidelines before data leaks happen.

Intercepting Unauthorized Autonomous Agent Actions

Organizations can prevent digital agents from completing unapproved operational steps by enforcing security checks directly at the execution level. The control platform evaluates business rules prior to firing tool requests, initiating database updates, or dispatching external communication. When an automated agent attempts an operation that breaks configured compliance boundaries or lacks necessary permissions, the platform blocks the execution immediately, keeping core enterprise databases and production systems safe from unintended alterations.

Streamlining Continuous Regulatory Compliance Audits

Compliance officers and legal departments can simplify audit preparation by leveraging automated documentation features grounded in real-time operational records. The system logs all agent decisions, data requests, and administrative approvals inside tamper-resistant records. It then aligns these operational traces against established regulatory frameworks like GDPR, HIPAA, ISO 42001, and the EU AI Act. This automated mapping allows companies to produce comprehensive verification reports quickly while reducing manual compliance tracking tasks.

Constructing Governed Agent Workflows

Software developers and operational specialists can build automated workflows by connecting digital agents to existing data repositories and core business systems. Using visual drag-and-drop builders alongside flexible low-code or traditional code choices, teams create custom process automations. Pre-established security rules and ethical guardrails apply to these newly built agents from initial development through to live production, ensuring all automated tasks satisfy enterprise standards from day one.

Conducting Adversarial Red Teaming on Agents

Security specialists can evaluate the durability of automated software agents by executing simulated threat exercises. Through simulated attack routines, teams test how agents react to unexpected inputs, prompt manipulation attempts, and unauthorized command requests. Discovering technical gaps in controlled test environments enables administrators to fine-tune system constraints, update task routing logic, and harden overall enterprise defenses against real-world security breaches.

Protecting Sensitive Files and Data Stores

Enterprise security administrators can safeguard confidential files and customer databases during automated operations. By deploying encryption mechanisms, data masking, and granular access rules, the platform prevents AI tools from exposing restricted information. In addition, mandatory human approval steps can be configured for sensitive file requests or elevated risk actions, ensuring that critical data repositories remain secure while agents carry out authorized tasks.

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Airia FAQs

What is Airia and what core functions does it provide?

Airia is an enterprise software platform that unifies AI discovery, runtime security, continuous governance, and workflow orchestration into a single control plane. It allows organizations to locate all AI agents, models, and tools across their infrastructure, enforce real-time security policies during execution, maintain audit-ready regulatory compliance, and build automated workflows using flexible low-code or pro-code tools.

How does Airia enforce security on autonomous AI agents?

Airia enforces security at the runtime execution layer before an agent completes an action. Rather than evaluating generated text outputs after execution, the platform intercepts operations prior to tool calls, database queries, or email transmissions. If policy requirements are not satisfied, the action is stopped immediately, preventing unauthorized access or system modifications.

How does the platform address shadow AI in enterprise networks?

Airia's AI Discovery feature continuously scans corporate environments to identify active AI tools, models, autonomous agents, and Model Context Protocol servers. It surfaces unapproved software, such as personal subscriptions connected to corporate accounts by employees, and brings those unmonitored assets into a central governance inventory where security controls can be applied.

Which regulatory frameworks and compliance standards does Airia support?

Airia generates automated, audit-ready compliance reporting mapped to multiple international and industry standards. These include the EU AI Act, NIST AI RMF, ISO 42001, HIPAA, GDPR, SR 11-7, and SOC 2. The platform logs all interactions into tamper-evident audit trails to simplify verification during formal regulatory reviews.

What options does Airia offer for building AI agents?

Airia includes an Agent Builder that accommodates users of varying technical expertise. Development teams and non-technical business users can design agents using drag-and-drop visual builders, no-code settings, low-code templates, or pro-code programming options. Built-in security and governance guardrails are applied automatically during agent creation before deployment to production.

How does Airia protect sensitive enterprise data?

Airia provides built-in data security controls including active encryption, data masking, and access permission controls. These features prevent autonomous agents from exposing confidential business files or customer records. Additionally, access to sensitive systems can require dynamic risk evaluations and human-in-the-loop review approvals before data is processed.

How does Airia handle human oversight for high-risk actions?

Airia incorporates human-in-the-loop approval mechanisms that are automatically triggered based on established policy parameters. Approvals can be required according to the dynamic risk classification of an agent, the sensitivity of the underlying data source, or the specific type of action being performed, ensuring human review before execution.

What options exist in Airia for testing agent security vulnerabilities?

Airia includes dedicated Agent Red Teaming features that allow security teams to simulate real-world cyberattacks and adversarial scenario inputs. By proactively testing how agents react to security exploits and edge cases, organizations can identify vulnerabilities, refine agent constraints, and strengthen overall security posture before deployment.

Who uses Airia?

Airia is built for enterprise organizations that need to deploy, govern, and secure artificial intelligence at scale across various internal departments and technical disciplines.

IT Teams
Operations Teams
Business Leaders
AI Developers & Data Scientists
Security Teams
AI Transformation Teams

Airia pros and cons

Until real users review Airia, this tab shows what the vendor highlights and the points worth checking — never invented opinions.

What Airia highlights

Combines discovery, runtime security, governance, and orchestration into one execution layer
Enforces policy constraints in real time before agent tool calls or database actions fire
Automates audit reporting aligned with EU AI Act, NIST AI RMF, ISO 42001, HIPAA, and GDPR
Discovers shadow AI tools, personal subscriptions, and unapproved MCP servers automatically
Provides versatile Agent Builder supporting no-code, low-code, and pro-code options

Points to check before choosing

The website does not list detailed tier structures, user-based pricing, or commercial plans
Free trial availability and self-service evaluation options are not specified on the website
Data hosting regions and specific cloud residency options are not outlined on the website

Airia features

Agent Builder

Agent Builder provides a flexible environment for constructing autonomous AI agents using drag-and-drop visual interfaces, no-code settings, low-code templates, or pro-code programming options. Teams can design customized workflows, link agents to enterprise systems, and set initial operational boundaries within a single interface, ensuring built-in compliance from initial design to production deployment.

AI Discovery

AI Discovery continuously inventories every AI agent, model, third-party app, and Model Context Protocol server active across an enterprise stack. It identifies shadow AI, including personal software subscriptions connected to internal networks, giving security teams complete visibility into tool usage, exposed personnel, and unapproved integrations across the organization.

Governance Dashboard

The Governance Dashboard presents real-time visibility into the entire enterprise AI ecosystem through a centralized monitoring center. Security and compliance leaders can track agent utilization metrics, evaluate organizational risk levels, monitor operational health, and review actionable insights to maintain executive control over all active models and workflows.

Dynamic Risk Classifications

Dynamic Risk Classifications automatically categorize software agents, data repositories, and workflows according to custom or regulatory risk thresholds. By tagging system assets based on their potential exposure or business sensitivity, organizations can trigger automated policy enforcement, stricter security controls, or mandatory human-in-the-loop reviews whenever high-risk thresholds are met.

Audit Trail Reporting

Audit Trail Reporting generates tamper-evident logs documenting every AI interaction, decision, and integration across the system. Compliance teams can instantly export audit-ready reports mapped against standards such as GDPR, HIPAA, ISO 42001, NIST AI RMF, SR 11-7, and SOC 2, providing full transparency and operational traceability for external regulators.

Agent Constraints

Agent Constraints allow administrators to define and enforce granular security rules governing how autonomous agents interact with internal systems, databases, and third-party models. Applied at the execution layer, these rules block unapproved tool calls, restricted database requests, or policy-violating communications before the underlying operation takes place.

Routing Engine

The Routing Engine manages and directs agent tasks based on pre-defined business and operational logic. By routing requests according to rule sets, risk levels, and resource conditions, the engine prevents system interruptions, optimizes operational efficiency, and ensures that sensitive workflows follow designated policy pathways without unexpected deviations.

Data Security Controls

Data Security Controls safeguard enterprise information assets through active data encryption, information masking, and granular access permission management. These controls protect confidential internal knowledge bases and customer records from unauthorized agent access, preventing sensitive data leaks while keeping automated operational workflows fully functional and aligned with privacy laws.

Agent Red Teaming

Agent Red Teaming enables security specialists to simulate real-world cyberattacks and adversarial input scenarios against deployed software agents. By actively testing agent responses to potential exploits, administrative teams can discover technical vulnerabilities, refine policy boundaries, and fortify systemic enterprise defenses before malicious actors target production tools.

Responsible AI Guardrails

Responsible AI Guardrails embed ethical principles, fairness, and system transparency directly into automated business workflows. The feature incorporates guided review processes and automated bias detection tools to help prevent skewed decision-making, verify operational integrity, and maintain enterprise trust in AI-assisted decisions across all departments.

Integration Framework

The Integration Framework connects the platform to 1,000s of enterprise applications, cloud infrastructure providers, and internal data stores using Model Context Protocol standardizations. It bridges fragmented data repositories with autonomous agents, permitting smooth data exchange and universal governance enforcement across third-party tools and custom-built software.

Security Posture Management

Security Posture Management delivers centralized oversight of all deployed AI agents to prevent unmonitored agent sprawl across the corporate network. It continuously monitors agent health, flags unusual operational behaviors, and ensures that administrative security configurations apply uniformly across every active tool and model in production.

Airia pricing

We don't publish prices: they change often and differ by country. Check current plans on Airia's own pricing page.

Airia does not publish standardized price tables, subscription tiers, or cost estimates on its public website. Prospective buyers can request a personalized demonstration using their own corporate data, models, and workflows to discuss tailored commercial deployment details directly with the vendor's sales team.

Free plan: Not stated on the site
Free trial: Not stated on the site

Airia integrations

Airia features an integration framework that connects to 1,000s of data sources, cloud platforms, productivity suites, and software tools. Utilizing standard protocols like the Model Context Protocol (MCP), it enables communication between autonomous agents and enterprise infrastructure while maintaining central security controls.

Jira
Slack
Linear
Claude Code
Notion
Google Cloud
Gemini
Salesforce
Snowflake
DBRX
Microsoft Teams
WhatsApp
Outlook
Figma
Airtable
Microsoft

Airia support

Support for Airia is delivered through a globally distributed organizational structure with personnel located in regional hubs including Atlanta, Miami, London, Sofia, Bangalore, Melbourne, and Singapore. This international footprint allows the vendor to offer localized domain knowledge and operational support across time zones. Enterprise teams, prospective clients, and partners can contact the company directly via its official online communication channels.

Website contact form
Global regional offices

Airia reviews

We don't show a rating for Airia until at least 10 real users have reviewed it — so far, 0 of 10. Reviews are read and approved by hand; none are identity-verified, but none are bought or invented either.

How this page was made

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This page was written with AI from 5 pages of airia.com's own website (read on Sep 15, 2026) and checked automatically: no copied wording, no prices, and no figure that isn't on the vendor's site. Nobody on our team has tested Airia.

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