Artificial intelligence is reaching a new milestone in the corporate world. Following chatbots, co-pilots, and conversational assistants, a new generation of tools is emerging: autonomous AI agents. Capable of performing tasks, interacting with multiple applications, manipulating data, and automating certain business processes, these systems promise significant productivity gains. But this rise in prominence raises a question that has become central for IT departments: how can they oversee increasingly autonomous agents without losing control of the digital environment?
It is precisely in this context that Microsoft is launching Agent 365. Unveiled at Microsoft Ignite 2025 and released in May 2026, this new platform aims to become the command center for AI agents in the enterprise. The goal is no longer just to create intelligent assistants, but to provide organizations with the tools they need to manage, secure, and monitor them at scale.
The proliferation of AI agents is creating a new challenge for businesses
Artificial intelligence is gradually moving beyond the experimental stage and becoming an integral part of companies’ day-to-day operations. According to Microsoft’s Work Trend Index, 75% of knowledge workers are already using AI in their professional activities1. At the same time, Gartner estimates that nearly one-third of business applications will incorporate agent-based capabilities by 2028, up from less than 5% in 20242.
This trend is profoundly transforming information systems. Companies are now deploying agents specializing in customer relations, data analysis, document management, human resources, and financial operations. Some organizations already have several dozen active agents, each with specific permissions, data, and responsibilities.
As the number of employees increases, governance challenges become more complex. IT departments need to know who does what, what data is being used, what decisions are being made, and how to ensure compliance with internal policies. Without an appropriate oversight framework, there is a risk that gray areas will emerge that are difficult to control.
Microsoft Wants to Become the Leader in Agent-Based AI
With Agent 365, Microsoft is seeking to secure a strategic position in the next phase of artificial intelligence development. After making Copilot widely available in Microsoft 365, the company is now positioning itself in the emerging market for AI agent governance.
The platform is integrated into the Microsoft ecosystem and works in conjunction with Copilot Studio, Azure AI, and the Frontier Suite. The goal is to provide businesses with a monitoring layer capable of centralizing all agents deployed across the organization.
This approach reflects a significant shift in the market. Companies are no longer looking solely for tools that can create agents. They now need infrastructure that ensures long-term monitoring, compliance, and security.
For Microsoft, this governance could become just as essential as cybersecurity or identity management tools in the coming years.
Agent-based AI is entering a phase of industrialization
For several years, companies have primarily been experimenting with conversational assistants capable of answering questions or generating content. The new AI agents go much further. They can query databases, trigger workflows, interact with business software, and even make certain decisions within a defined framework.
This autonomy represents a major shift. According to IDC, global investment in AI technologies is expected to exceed $500 billion by the end of the decade3. A growing share of this spending is specifically directed toward autonomous agents and intelligent automation platforms.
Microsoft is anticipating this trend by offering an infrastructure designed to support the industrialization of agent-based AI. The goal is no longer simply to improve individual productivity, but to enable hundreds of agents to collaborate within a single digital environment.
This vision is gradually transforming AI agents into true digital collaborators capable of assisting human teams with complex tasks.
Safety Is Becoming the Real Challenge for Autonomous AI
One of the main challenges associated with AI agents is security. Unlike traditional conversational assistants, these agents often have extensive permissions that allow them to access sensitive documents, applications, or databases.
According to IBM, the global average cost of a data breach now stands at $4.9 million4. In this context, the introduction of autonomous agents into information systems imposes new requirements in terms of control and traceability.
Microsoft is therefore placing cybersecurity at the center of its strategy. Agent 365 relies in particular on Microsoft Entra, Microsoft Defender, and Microsoft Purview to manage identities, monitor behavior, and protect sensitive data.
This approach reflects a growing awareness in the market: the more autonomous AI becomes, the more robust oversight mechanisms must be.
Measuring the True Value of Artificial Intelligence
Beyond governance and security, companies are also seeking to assess the actual impact of their investments in AI. Many organizations are now deploying virtual assistants or agents without having specific metrics to gauge their effectiveness.
With this in mind, Microsoft is introducing Work IQ, a module designed to measure productivity gains and the performance of deployed agents. This enables companies to identify their most effective processes, measure the adoption of AI tools, and optimize their investments.
This analytical capability is becoming essential as budgets for artificial intelligence continue to grow rapidly. Executives now want concrete metrics to demonstrate the value created by these new tools.
Toward a New Generation of Digital Infrastructure
The arrival of Agent 365 shows that artificial intelligence is no longer limited to content generation or conversational assistance. It is gradually becoming an operational component of information systems. Companies will soon have to manage dozens, or even hundreds, of specialized agents capable of intervening in critical processes.
In this context, governance platforms such as Agent 365 could become fundamental building blocks of modern digital infrastructure. Just like cybersecurity, data management, and identity management solutions, they will help regulate the operations of these new digital employees.
The challenge in the coming years will therefore not only be to develop more effective agents, but above all to ensure that they are properly monitored, compliant, and aligned with the organization’s objectives.
How does Microsoft Agent 365 work?
Microsoft Agent 365 is built on a governance and orchestration architecture designed to oversee the artificial intelligence agents deployed within an organization. Unlike traditional AI assistants, which operate in relative isolation, Agent 365 acts as a central control layer capable of monitoring, securing, and managing all agents within the company’s digital environment.
Its goal is to enable the large-scale deployment of agent-based AI while maintaining visibility, compliance, and risk management. The system begins by identifying the AI agents present within the organization and centralizing their information in a single registry. The platform then analyzes their activities, the data they access, and the actions they perform.
Administrators can then enforce governance policies, define authorization levels, and monitor operations in real time. This architecture leverages the Microsoft ecosystem—including Copilot Studio, Microsoft Entra, Defender, and Purview—to ensure consistent management of security, identities, and data.
- Centralized agent inventory: identification and monitoring of all AI agents deployed within the company
- Activity Monitoring: Real-time monitoring of actions performed by agents
- Automated Governance: Enforcing Compliance Rules and Policies on a Large Scale
- Access Control: Management of Authorizations and Resources Available to Employees
- Advanced Reporting: Detailed Dashboards on the Performance and Usage of AI Agents
- Interoperability: Integration with Microsoft applications and third-party systems
- Impact Analysis: Measuring Employee Business Value Using the Work IQ Module
- Reliance on the Microsoft ecosystem to access the full range of features
- Increasing complexity in environments with a large number of specialized agents
- The need to define governance policies tailored to each organization
- Potentially significant costs for large-scale deployments
- Risk of administrative overload if there are too many oversight rules
- Human oversight is needed for critical operations and sensitive decisions
Learn more
The growing number of autonomous agents in companies raises new challenges in terms of oversight, governance, and security. On a related topic, check out our article“Qwen3: Alibaba’s Model That Challenges OpenAI and DeepSeek in Math and Coding, ” which analyzes how new generations of models are evolving into systems capable of coordinating multiple agents and automating complex processes on a large scale.
References
1. Microsoft. (2026). Work Trend Index.
https://www.microsoft.com
2. Gartner. (2025). Agentic AI Forecast.
https://www.gartner.com
3. IDC. (2025). Worldwide Artificial Intelligence Spending Guide.
https://www.idc.com
4. IBM. (2025). Cost of a Data Breach Report.
https://www.ibm.com/security/data-breach