Airia, a leader in enterprise AI security and orchestration, has introduced Agent Constraints, a pioneering policy engine designed to enable organizations to enforce granular, context-aware governance across AI agents without code modifications. This innovation addresses the critical challenge of scaling AI agent deployments while ensuring security, compliance, and operational control.
Airia unveils Agent Constraints, a first-of-its-kind AI policy engine.
Enables granular governance without modifying AI agent codebases.
Centralizes policy enforcement at the infrastructure layer.
Enhances security, compliance, and scalability for AI deployments.
Reduces risks like data exfiltration and unauthorized agent actions.
Available now for Airia platform customers with pre-built templates.
Agent Constraints shifts policy enforcement from individual AI agent codebases to the infrastructure layer, eliminating the need for developers to embed security logic manually. Integrated with Airia’s AI gateway, this solution ensures consistent policy enforcement across all agents and frameworks, reducing operational friction and enhancing scalability. Unlike traditional methods, which are prone to inconsistencies and delays, this approach streamlines governance for enterprise AI ecosystems.
The policy engine complements Airia’s Responsible AI Guardrails, offering precise control over AI agent interactions with tools, data sources, and models. Agent Constraints enables organizations to define and enforce policies that prevent unauthorized actions, such as data exfiltration or destructive database operations. By curating toolsets and restricting parameters, the solution mitigates risks while maintaining operational efficiency.
Agent Constraints addresses critical enterprise use cases. For instance, it prevents data exfiltration by restricting AI agents’ tool parameters, ensuring sensitive data remains secure. It also limits agent autonomy by filtering high-risk tools or actions, such as database deletions, enhancing safety. Additionally, it streamlines MCP tool curation by automatically filtering out risky tools based on annotations, reducing manual oversight.
Early adopters report significant improvements with Agent Constraints. Organizations experience fewer security incidents, such as unauthorized write operations or compliance violations. IT teams gain confidence in granting agents access to business systems, knowing constraints prevent misuse. Centralized policy management also enables rapid incident response, allowing updates without code changes or redeployments.
Kevin Kiley, CEO of Airia, stated, “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? 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 Agent Constraints empowers enterprises to scale AI deployments confidently, balancing innovation with robust governance. Available immediately, the feature integrates with Airia’s orchestration suite, offering pre-built policy templates to accelerate adoption.
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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