Snowflake launches AI gateway to help enterprises govern agentic AI

In July 2026, Snowflake introduced Cortex AI Gateway, which is a platform designed to help enterprises centrally govern AI agents, control AI usage, and manage costs as organizations expand the use of agentic AI. The company said the platform addresses two key enterprise AI challenges: securing AI agents that operate across multiple systems and providing centralized visibility into AI consumption. Cortex AI Gateway enables organizations to govern both Snowflake-native AI agents and third-party agents while managing access to AI models, enterprise data, applications, and tools.

Snowflake also announced integrations with identity and security vendors, including 1Password, Aembit, Linx Security, Okta, SailPoint, and Saviynt, to support governance and auditing of third-party AI agents across enterprise environments. According to the company, Cortex AI Gateway supports more than 100 Model Context Protocol (MCP) servers and provides capabilities including centralized access policies, activity monitoring, AI cost management, and intelligent model routing.

Impact on the AI Market

Unlike traditional AI, Agentic AI makes autonomous decisions based on goals rather than following already predefined rules. Sectors such as healthcare, manufacturing, financial services, and FMCG are increasingly exploring Agentic AI to improve efficiency and adaptability. Unlike rule-based systems or predictive AI, Agentic AI takes goal-driven decisions and acts independently in complex and changing environments. In recent times, industries from healthcare to consumer goods are exploring Agentic AI to improve speed, streamline workflows, and address evolving challenges like operational delays and dynamic decision-making.

Businesses today manage complex operations while receiving vast amounts of data from customers, suppliers, and market trends, making it difficult to analyze information quickly. With Agentic AI, regular tasks can be automated, and the AI system adjusts rapidly to new circumstances. Enabling faster data-driven actions, it helps in reducing reliance on human input. This frees teams to focus on critical work and respond better to market shifts.

Impact on the Agentic AI in Enterprise Operations Market

The global agentic AI in enterprise operations market is driven by the rise of AI-powered agents that adapt, learn, and act within enterprise ecosystems. The market is experiencing significant growth, led by rapid digital transformation, increasing demand for autonomous decision-making for business activities, and increasing integration of AI with enterprise software.

According to Precedence Research, the market is establishing a foothold as enterprises evolve from predictive systems to autonomous, in search of a more efficient, cost-effective, and adaptive intelligence. Deeper integration with enterprise software and the speed at which AI is developing mean that agentic AI will cause a paradigm shift within enterprise operations. Organizations are moving toward autonomous systems that limit human decision-making. This movement helps spur the adoption of agentic AI because AI can find the right sequence of actions and minimize human involvement in the enterprise workflow.

By putting together large-scale enterprise data, predictive analytics, and continuous learning, these systems allow organizations to proactively make decisions, optimize ongoing processes, and achieve operational resilience. One of the greatest technology trends in agentic AI is the evolution of multi-agent collaboration approaches, composable architectures allowing for maximum flexibility, and trusted governance frameworks related to these approaches that ensure security and accountability across all enterprise functions.

Impact on the Artificial Intelligence as a Service Market

The global artificial intelligence as a service market size is accounted at USD 16.48 billion in 2025 and predicted to increase from USD 22.70 billion in 2026 to approximately USD 406.27 billion by 2035, expanding at a CAGR of 37.78% from 2025 to 2035.

According to Precedence Research, the market is quickly growing as today's businesses are adopting AI-enabled solutions on cloud platforms. Organizations are leveraging AIaaS to improve automation, decision-making, and efficiency. The increase in the use of natural language processing (NLP), predictive analytics, and machine learning (ML) technologies/solutions in businesses is driving this demand. Due to its flexibility and cost structure, AIaaS is preferred in almost every industry and has the potential to transform the global economy digitally, thereby contributing to the continuing expansion of the global market.

Artificial Intelligence as a Service is rapidly gaining massive traction as businesses are increasingly adopting cloud-based AI platforms in order to identify and provide quick digital transformation. Companies are adopting AIaaS capabilities, such as predictive analytics, automation, NLP, and computer vision, with minimal investments in infrastructure. There is also a growing investment trend relating to the market growth of AI innovation and enterprise modernization.