Corporate networks are filling up with AI agents, creating a governance blind spot for leaders managing multi-cloud infrastructures.
As distinct business units race to adopt generative technologies, CIOs especially find their ecosystems populated by fragmented and unmonitored assets. This mirrors the shadow IT challenges of the cloud era, but involves autonomous actors capable of executing business logic and accessing sensitive data.
IDC projects the number of actively deployed AI agents will exceed one billion by 2029—a forty-fold increase from current levels. In the first half of 2025 alone, agent creation surged by 119 percent. For enterprise leadership, the immediate challenge shifts from building these agents to locating, auditing, and governing them across platforms.
Salesforce has responded to this fragmentation by expanding its MuleSoft Agent Fabric capabilities, introducing automated discovery tools designed to centralise the management of AI agents regardless of their origin.
Automating discovery
Visibility remains the core issue for security and operations teams. When marketing teams deploy AI agents on one platform and logistics teams build on another, effective governance becomes difficult as central IT loses a consolidated view of the organisation’s digital workforce.
MuleSoft’s updated architecture addresses this via ‘Agent Scanners’. These tools continuously patrol major ecosystems – including Salesforce Agentforce, Amazon Bedrock, and Google Vertex AI – to identify running agents. Rather than relying on developers to manually register their deployments, the system automates detection.
Finding an agent is only the first step; compliance leaders need to understand the logic behind it. The scanners extract metadata detailing the agent’s capabilities, the LLMs driving it, and the specific data endpoints it is authorised to access. This information is then normalised into standard Agent-to-Agent (A2A) specifications, creating a uniform profile for assets regardless of the underlying vendor.
Andrew Comstock, SVP and GM of MuleSoft, said: “The most successful organisations of the next decade will be those that harness the full diversity of the multi-cloud AI landscape. The expanded capabilities of MuleSoft Agent Fabric give you the freedom to innovate across any platform while maintaining the unified visibility and control needed to scale.”
Governance and cost control for AI agents
Unmanaged agents create financial inefficiency and risk exposure. Consider a CISO in the banking sector. Under standard operations, verifying a new loan-processing agent involves manually chasing documentation from development teams. Automated cataloguing allows security teams to immediately view which financial databases an agent accesses and verify its authorisation levels without manual intervention. This capability ensures security teams view real-time data rather than outdated snapshots.
From a financial perspective, visibility drives…
Source link
Disclaimer
We strive to uphold the highest ethical standards in all of our reporting and coverage. We blogs.grocliq.com want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It’s possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.
Website Upgradation is going on for any glitch kindly connect at [email protected]
