Airia Launches Agent Constraints: Industry's First Policy Engine to Enable Centralized AI Agent Governance

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ATLANTA--(BUSINESS WIRE)--Sep 22, 2025--

Airia, a leader in enterprise AI security and orchestration, today announced the general availability of Agent Constraints, the industry’s first policy engine that enables organizations to implement granular, context-aware governance across all AI agents without requiring code modifications. This breakthrough addresses a critical enterprise challenge: scaling AI agent deployments while maintaining security, compliance, and operational control.

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Unlike traditional approaches that require developers to manually embed security and policy logic into each agent’s codebase, Airia’s runtime security capabilities, which include Responsible AI Guardrails and Agent Constraints, provide a centralized, infrastructure-layer solution that applies universally to any agent or agentic framework through Airia’s AI gateway. This eliminates operational friction, ensures consistent enforcement, and dramatically improves scalability as organizations expand their AI ecosystem.

Agent Constraints complement traditional guardrails that can be used for prompt filtering and response sanitization offering enterprises precise control over how AI agents interact with tools, data sources, and models.

“Enterprises are eager to embrace AI agents, but they’re hitting the same wall: how do you maintain control and compliance without slowing down innovation?” said Kevin Kiley, CEO of Airia. “Agent Constraints solves this by moving policy enforcement from the agent layer to the infrastructure layer, giving organizations the best of both worlds—security and agility.”

Airia’s approach to Agent Constraints offers key benefits compared to approaches where security and policy logic must be manually coded into each agent’s implementation. In many agent frameworks, enforcing granular policies requires developers to embed custom control logic directly within the agent codebase, which leads to operational friction, inconsistent enforcement, and limited scalability as the number of agents or use cases grows.

Real-World Enterprise Applications

Preventing data exfiltration: As organizations deploy AI agents with access to sensitive corporate data and equip them with powerful tools like email capabilities, they face significant data exfiltration risks. Agent Constraints provides granular control, enabling security teams to create and enforce policies that ensure only approved tool parameters can be executed, preventing unauthorized data transmission.

Limiting agent autonomy: AI agents with production database access pose inherent risks of destructive actions—such as deleting critical databases or modifying sensitive data—even when explicitly instructed otherwise. Agent Constraints mitigates these risks by either filtering dangerous tools from the agent’s available context or restricting the parameters agents can use, maintaining operational safety without sacrificing functionality.

MCP tool curation: MCP servers can expose extensive tool catalogs that may include high-risk capabilities beyond an agent's intended scope. Agent Constraints automatically curates available tools by filtering based on annotations—removing tools marked as "destructive" or other risk categories—enabling secure MCP adoption without manual tool review overhead.

Quantifiable Business Impact

Early adopters report significant improvements in agent deployment confidence and operational safety by decoupling constraints and security controls from agent implementation:

• Reduced Security Incidents: Organizations see dramatic decreases in unauthorized write operations and compliance violations from AI agents
• Increased Tool Adoption: IT teams report higher confidence in providing agents with write-access to business systems, knowing that intelligent constraints prevent misuse
• Faster Incident Response: Centralized policy management enables rapid updates across all agents without code changes or redeployment

Get Started with Better Agentic Security

Agent Constraints is available immediately for all Airia platform customers. The feature expands Airia’s runtime security capabilities in line with Airia’s layered security approach and integrates seamlessly with Airia's comprehensive Agent orchestration suite.

Organizations can get started with pre-built policy templates for common use cases. To learn more about Agent Constraints and schedule a demo, visit https://airia.com

About Airia

Founded in 2024, Airia delivers the industry's first unified enterprise AI orchestration and security platform, purpose-built to eliminate AI anxiety and accelerate adoption. The company guides the world's most innovative enterprises through their AI transformation journey by addressing the critical gap between rapid innovation and governance requirements—empowering teams to build and deploy AI agents fast while maintaining enterprise-grade control. Learn more at airia.com.

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CONTACT: Media Contact

Julia Harold

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KEYWORD: UNITED STATES NORTH AMERICA GEORGIA

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SOURCE: Airia

Copyright Business Wire 2025.

PUB: 09/22/2025 08:49 AM/DISC: 09/22/2025 08:48 AM

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