Airia extends AI governance to Claude Enterprise: because what happens in Claude shouldn't stay in Claude. Most of what happens between an employee and Claude never shows up in an activity log. Employees are uploading documents, sharing code, asking questions about sensitive projects, and collaborating with Claude across dozens of workflows. And for most security teams? It's a black box. Today, Airia announces an integration with Claude's Compliance API that changes that, extending full AI agent governance and security visibility to organizations using Claude Enterprise. The visibility problem no one talks about. AI agents are taking on more operational work every quarter. They write code. They analyze business data. They help make decisions that have real downstream impact. But here's what security teams are discovering: traditional monitoring wasn't built for this. Without proper AI control, Claude usage becomes shadow AI, with employees interacting with powerful models outside the view of security and compliance teams. Consider what a typical knowledge worker does with Claude in a single week: * Dozens of conversations spanning project planning, document drafting, and problem-solving, many touching sensitive internal information. * File uploads including spreadsheets with customer data, draft contracts, internal reports, and code repositories. * Project collaboration where Claude maintains context across multiple sessions, accumulating institutional knowledge over time. None of this shows up in your SIEM. None of it triggers your DLP policies. None of it appears in your compliance reports. Until now. Extending agentic governance where it actually matters. Airia already gives customers inline visibility into Claude Code and Cowork activity through its governed gateway. The Compliance API integration extends that same governance layer to Claude itself, evaluating conversations, uploaded files, and projects for AI governance compliance out of band. "Extending our guardrails and runbooks to Claude through the Compliance API means our customers get that same depth of visibility and response across every surface where Claude Enterprise shows up in their organization," said Kevin Kiley, CEO of Airia. The result: security and compliance teams finally get one place to review usage, correlate activity, and investigate potential policy violations across the entire Claude ecosystem. What the integration actually does. This isn't surface-level monitoring. Airia's AI governance platform delivers capabilities that enterprise security teams actually need: Out-of-Band compliance evaluation. Every Claude conversation, uploaded file, and project gets evaluated against your organization's configurable guardrails, without introducing latency into user interactions. Governance happens continuously in the background. Sensitive data detection that catches what matters. The integration automatically detects sensitive data surfaced in conversation content: * PII: Names, addresses, social security numbers, and other personally identifiable information * PHI: Protected health information subject to HIPAA requirements * PCI: Payment card data that must be protected under PCI-DSS * Secrets: API keys, credentials, tokens, and configuration data that should never appear in AI conversations When an employee accidentally pastes production credentials into a Claude conversation or uploads a spreadsheet with customer SSNs, you'll know about it. These are exactly the risks that guardrails in AI are designed to catch. One monitoring feed to rule them all. Security teams are drowning in dashboards. The integration solves this by correlating activity across Claude, Claude Code, and Cowork in a single monitoring feed. One view. One investigation workflow. One source of truth. Automated Response that actually responds. When a guardrail triggers, Airia's runbooks handle the response automatically: | Trigger | Automated Response | | PII detected in conversation | Route alert to Slack security channel | | Secrets exposed in upload | Create ServiceNow ticket and notify identity team | | Policy violation pattern | Trigger downstream identity action | | High-severity incident | Flag for immediate manual review | Sensitive cases that require human judgment get escalated. Routine violations get handled. Security teams focus on what matters. Built for agentic governance. Here's what most AI security tools get wrong: they were built for models that generate outputs. But today's AI agents don't just generate. They act. They write code that ships to production. They access business tools with real permissions. They make decisions that have operational consequences. Airia was built specifically for this reality. Agentic governance requires an enforcement layer that ensures every action follows policy, whether that action happens in Claude, Claude Code, Cowork, or any other AI tool in your environment. The real problem isn't AI. It's AI control. Enterprises don't need to slow down AI adoption. They need visibility and AI control across every agent and interaction. When security teams have that control, they can: * Set appropriate guardrails based on actual usage patterns * Respond to incidents before they become breaches * Demonstrate AI governance compliance with confidence * Enable productivity without sacrificing security The Claude Compliance API integration gives them exactly that, extending Airia's platform to cover the conversational AI interactions that have remained invisible until now. Getting started. The integration is available now to customers using both Airia and Claude Enterprise. For organizations ready to close the visibility gap, Airia's enterprise AI services provide: * Immediate deployment with no changes to existing Claude workflows * Configurable guardrails that match your specific compliance requirements * 1,000+ pre-configured connectors for the systems and tools your teams already use * Unified AI agent governance across your entire AI ecosystem Govern your entire AI ecosystem with confidence. See how Airia can help you take control and govern your entire AI ecosystem today. Connect with a member of its team to get started. Put these ideas to work. Schedule a 30-minute walkthrough with its team.

Airia has launched Model Change Management, a governance tool designed to protect enterprises from AI model deprecation risks. The capability addresses operational challenges when model providers retire models with limited notice, potentially causing production failures and compliance issues. The system provides alerts up to 90 days before model retirements and offers visibility into affected AI agents. Bulk migration tools allow teams to update multiple agents simultaneously, reducing downtime risk. Model Change Management creates complete version histories for regulatory audits and scales with growing agent deployments. The feature is part of Airia's enterprise AI control platform, which focuses on discovery, security, governance, and optimization. CEO Kevin Kiley said the tool transforms reactive responses into proactive governance, helping maintain continuous AI operations as enterprises accelerate agent deployments.

Airia announces Enhanced Cost Optimization to give enterprises real-time control over AI spend. Airia Team Summary. Airia has launched Cost Optimization, a new capability that gives enterprises real-time visibility and control over AI spending before costs spiral out of control. As organizations scale agentic AI, traditional cost controls have failed to address token-based consumption that compounds through retry loops, context window bloat, and redundant tool calls. Key Takeaways: * Granular spend attribution by user, team, project, gateway, agent, and execution * Per-agent budgets that treat entire agent runs as single budgeted units * Inline enforcement with hard and soft budget limits that block requests before costs are incurred * Live loop detection that catches runaway agents and spending spikes in real time * Native Claude cost monitoring with Sonnet and Opus breakdowns by team and workflow * Airia recognized as a Sample Vendor in Gartner's Hype Cycle for Strategic Cost Management, 2026 New capabilities deliver inline budget enforcement, spend attribution and loop detection, stopping runaway AI costs before the invoice arrives ATLANTA, July 7, 2026 - Airia, the enterprise AI control platform, today announced Enhanced Cost Optimization, a native budgeting capability that gives organizations real-time visibility into and enforcement over AI spending across providers, models, agents and teams. As enterprises scale agentic AI, traditional cost controls have failed to keep pace. Unlike predictable per-seat licensing, token-based consumption compounds invisibly through retry loops, context window bloat, redundant tool calls and MCP overhead. Most organizations discover these costs only after receiving the invoice. Airia's Enhanced Cost Optimization addresses this challenge by embedding financial governance directly into the AI execution path. "Enterprise AI spend is spiraling out of control, and most teams don't find out until the invoice lands on someone's desk," said Kevin Kiley, CEO of Airia. "We eliminate that bill shock entirely. Our expanded capabilities give organizations the controls to set budgets, catch runaway agents and stop overspending before it's too late." Key capabilities include: * Granular spend attribution by user, team, project, gateway, agent and execution * Per-agent budgets that treat entire agent runs, spanning dozens of LLM calls and tool executions, as single budgeted units * Inline enforcement with hard and soft budget limits that block requests before costs are incurred * Live loop detection that catches runaway agents and spending spikes as they happen * Diagnostics that identify wasteful spending caused by model mismatches, context bloat and MCP manifest inflation * Native Claude cost monitoring with Sonnet and Opus cost breakdowns by team and workflow Airia is the only platform that unifies AI discovery, security, governance and optimization while capturing cost data at the source without requiring additional integrations or creating data gaps. Airia was also included as a Sample Vendor in Gartner's Hype Cycle for Strategic Cost Management, 2026, recognizing the company's capabilities in helping enterprises govern and optimize AI spending. About Airia Airia is an enterprise AI control platform built on four pillars: Discover, Secure, Govern and Optimize. The platform enables organizations to gain visibility into AI usage, enforce security policies, maintain compliance and maximize the value of AI investments. Learn more at airia.com. Media Contact