Lack of AI Agent Oversight Brings Dueling Approaches

by Charlotte Dunlap, posted in IT Leader

Lack of AI Agent Oversight Brings Dueling Approaches

C. Dunlap
Research Director

Summary Bullets:

• Fast-growing use of agentic AIs within organizations has triggered agentic orchestration/governance prioritization among platform providers

• Controversy remains over two distinct approaches to orchestration: control plane construct or orchestration frameworks

Enterprises deploying AI in 2026 are turning their attention from deployment of agentic AIs to the management of growing numbers of agents being released across organizations. Companies are struggling with how to manage the hundreds or thousands of individual agents built within their organizations–agents built by different teams, running on different platforms, with inconsistent security and governance. This is problematic, considering most organizations lack visibility into agent inventory, purpose, and authorization.

The practice of addressing agentic orchestration at the control plane platform layer is moving to the forefront of the conversation, spurred by the lack of visibility, security, and management associated with agentic sprawl. Control planes sit above the agent layer, governing, observing, and enforcing policy across agents regardless of where they originated. The advantage is in their ability to ensure identity and security enforcement and enable cross-vendor interoperability regardless of what framework they use for coordinating agents. This approach contrasts with orchestration frameworks which are features of agentic solutions that simply coordinate agents.

GlobalData’s research captures the scale of the agentic market, and therefore the urgency of the situation. The report “Market Opportunity Forecasts to 2029: Agentic AI” puts the global agentic AI market at a 50.6% CAGR for 2024–2029, reaching $45.4 billion by 2029, driven by enterprise demand for autonomous decision-making, multi-agent orchestration, and scalable cloud-native AI infrastructure. GlobalData reports that early adopters are even replacing traditional robotic process automation (RPA) with goal-driven, self-adapting agent systems — and that the shift from pilots to production-grade systems is accelerating.

Vendor Strategies

A control plane market is emerging, positioned as framework-agnostic. Leading AI and platform providers are announcing strategies and solutions to address this evolving branch of agent orchestration:

• IBM is positioning the next generation of watsonx Orchestrate as an agentic control plane for the multi-agent era. It supports IBM-native agents alongside LangGraph, Langflow, and agents built on the open A2A protocol, with consistent policy enforcement.

• Salesforce has built its orchestration strategy on MuleSoft’s Agent Fabric. This has been helped by its ability to consolidate multiple data sources into a single source following Salesforce’s Informatica acquisition last November. A trust and data security layer serves as the key component of its new Agent Fabric control plane.

• ServiceNow is featuring its AI Control Tower as the governance layer spanning every AI agent, model, and action running across the enterprise, regardless of which vendor built them. The company is repositioning from being a workflow automation vendor to an enterprise AI operating system, shored up by its recent acquisition of IT/OT security provider Armis, which leans heavily into its new AI Control Tower solution.

• Boomi’s control plane approach is addressed via the Boomi Enterprise Platform, which sits between disparate systems, agents, frontier models, and data sources. Boomi’s acquisition of Lunar.dev, AI/MCP gateway, plays heavily into its strategy as the prompt routing layer for governing MCP servers and access.

Yet controversy over how to govern the fast-growing agentic AI market segment remains. Some rival platform providers are taking a different tact and keeping agentic orchestration within the confines of their own platforms and product ecosystems. They are not positioned as supporting cross-vendor governance layers in the same way as competitors:

• Microsoft has been reshaping Copilot Studio from an agent-building tool into an agent governance layer. It describes the new governance features as having centralized policy enforcement, agent lifecycle oversight, and cross-ecosystem governance spanning Microsoft 365 and partner-built agents. However, Microsoft’s architecture is embedded in and distributed across its popular platforms, including Power Platform and Azure, versus a discrete, specific control plane layer that sits above disparate agents.

• Oracle OCI’s strategy for management and governance also currently bypasses a control plane architectural model and remains within the confines of its own ecosystem. OCI Enterprise AI embeds agentic orchestration natively as a feature across the Oracle technology layers rather than positioning a discrete governance layer above them. Enterprise AI’s three integration layers are: Enterprise AI Models, Enterprise AI Agents, and Enterprise AI Governance.

Summary
The concept of a control plane architecture construct is still being defined by the market. Vendors operating in the agentic orchestration space have varying opinions and product strategies. Pioneering activities and offerings suggest this type of AI operating system will quickly become the fundamental layer for agentic AI. Operational guardrails are critical for bringing to production environments that are built around ambitious agentic AI projects.

It is worth noting that players in this market segment have generally adopted or endorsed MCP and A2A as the underlying interoperability layer, serving as the common protocol layer, while the control planes above it remain proprietary and competitive. Therefore, much of the agentic AI battle will be won or lost according to who controls the management, orchestration, and governance of disparate agents across enterprise environments.

For more on this topic and other cloud trends including escalating cloud costs, please see Cloud Watch Q2 2026: Reassessing On-Demand Economics in the Era of Escalating Cloud Costs

EU Proposal for MSS Spectrum Seeks to Balance Bloc’s Commercial and Sovereignty Aspirations

by Ismail Patel, posted in Communicate, Internet of Things, IT Leader, Network
I. Patel

Summary Bullets:

  • The EU’s MSS 2 GHz proposal strengthens regulation, security, and competition, but implementation through 2027–2029 will be phased, not immediate.
  • Small spectrum block sizes favor IoT, messaging, emergency services; large-bandwidth applications face bottlenecks.

When the European Commission unveiled its plan late last month to reassign the 2 GHz mobile satellite service (MSS) spectrum at EU-level, it initiated more than a regulatory proposal. With the dust now settled on the announcement, it is clear that this represents a geopolitical and commercial realignment. Signals in the market suggest the framework is firming up around core principles: sovereignty, security, restricted eligibility, spectrum caps, and wholesale access. But beneath those pillars lies a battlefield of interests that will define not just who wins licenses, but which services Europe values the most – IoT or in-flight broadband, messaging or full-fledged device-to-device (D2D) connectivity.

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AI Wars Intensify via Major LLM/Agentic Releases

by Charlotte Dunlap, posted in Big Data
C. Dunlap
Research Director

Summary Bullets:

• Cycles between advanced AI model rollouts are significantly shortened among leaders in this space

• Developers are gaining access to agentic-injected integrated development environments (IDEs); while knowledge workers gain access to agentic AI assistants.

The second quarter marks a momentous period in the industry’s ongoing AI efforts. Platform leaders shipped next-generation agentic runtimes including autonomous and other advanced capabilities, all while managing a more compressed cycle of new AI models, which are rolling out in a matter of weeks versus months.

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UK Plans Teen Social Media Ban, but the Action Raises Questions About Enforceability – and Privacy

by Amy Larsen DeCarlo, posted in Communicate
Amy Larsen DeCarlo – Principal Analyst, Security and Data Center Services

Summary Bullets

• Following the lead of other nations including Australia, the UK is getting set to restrict access to social media sites for minors 16 years and younger, starting in 2027.

• Comparable rules in other countries have proven to be difficult to execute, with teenagers finding workarounds. However, UK government officials say their efforts will leverage highly effective technology to enforce the ban, including biometric facial age estimation.

When UK Prime Minister Keir Starmer announced plans to introduce legislation later this year that will bar teenagers and children from social media access, critics offered immediate comparisons to a similar action by Australia in 2025, which has largely been deemed a failure. Though initially Australia touted the fact that 4.7 million accounts held by children under 16 had lost access to social media platforms like TikTok and Snapchat, research shows that just months later, the ban had very little effect. A University of New Castle study of 408 12 to 17 year olds found that due to “limited implementation, incomplete compliance, and substantial circumvention of social media restrictions, the ban has been largely unsuccessful.”

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Google Cloud Highlights the ROI of Agentic Workloads During UK Summit

by Beatriz Valle, posted in Communicate
B. Valle

Summary Bullets:

• The Google Cloud UK Summit was held in June 2026, at Tobacco Docks, in London (England). The company will release Gemini 3.5 Pro and Gemini Omni, a multi-modal system, in late-2026.

• Google announced the UK availability of Gemini 3.5 Flash, through the Gemini Enterprise Agent Platform and the Gemini Enterprise app.

Google Cloud held its UK Summit in London with the strategic intent of demonstrating the ROI of agentic AI. With more than 4,000 participants, it followed the thread commenced in 2025 (please see Google Cloud Focuses on Agentic AI During UK Summit, July 15, 2025), only this time the industry has moved decisively towards the implementation of the technology in practical cases. The company showcased its considerable presence in the UK, with a new data center that will be opening in Waltham Cross, Hertfordshire, later in 2026 as part of a GBP5-billion investment in AI programs in the country.

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HCLTech Hones Its Application Development Practice, Reflecting the Disruptive Impact of AI

by Rena Bhattacharyya, posted in Cloud Enable
A woman with long, wavy dark hair and a warm smile, wearing a gray blazer and a silver necklace, posed against a neutral background.
R. Bhattacharyya

Summary Bullets:

• AI has disrupted traditional developer teams and tasks, and new processes and talent will be required to responsibly implement the intelligent automation and probabilistic nature of agentic systems.

• As enterprises drive towards a mature application landscape that is built using AI and for AI-infused applications, intelligent orchestration and integration are critical.

Although AI offers the promise of greater efficiency across a myriad of enterprise workstreams, one of the use cases with the greatest benefit is application modernization. GenAI’s effectiveness in writing and refactoring code has already been highly touted in mainstream media; less known is its use in other aspects of the software development lifecycle (SDLC). It can be used for discovery, documentation, quality assurance, autonomous testing, intelligent orchestration, and other tasks as well. Furthermore, AI is doing much more than accelerating application development; it is changing how software is engineered. Intelligence and analytics are no longer add-ons that are layered onto existing applications. Today’s applications have intelligence embedded into their workflows and decision logic, essentially creating modern apps that are designed to be AI-first.

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Why Quantum-Safe Connectivity Could Become the Next Differentiator for Wholesale Providers

by Brendan Swan, posted in Cloud Enable, Secure
A professional headshot of a man smiling, wearing a suit with a light pink shirt, set against a neutral gray background.
B. Swan

Summary Bullets:

  • Telecom Italia’s Sparkle has launched its quantum-safe interconnect (QSI) with Equinix across 20 International Business Exchange (IBX) positioned throughout Europe, the Americas, and Asia.
  • With the rise of quantum computing, it has highlighted the importance of cybersecurity, with growing concerns around future attacks where sensitive data could be compromised – store now, decrypt later.

The wholesale telecommunications segment has traditionally competed on scale, reach, latency and price. However, as enterprises accelerate the adoption of AI, hybrid cloud, and internationally distributed workloads, another factor is rapidly moving up the priority list: Security. With cyber threats becoming increasingly sophisticated and quantum computing edging closer to becoming able to break traditional encryption, quantum-safe connectivity is emerging as the next major differentiator for wholesale operators seeking to move beyond price-led competition. CSPs that can combine their global reach, low latency, and post-quantum security will be positioned to capture a greater share of the enterprise and hyperscaler demand. The broader question now emerging for the industry is whether security could soon become just as important as scale, reach, and price in wholesale telecommunications.

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Telstra and Google Deepen Infrastructure Ties to Power Australia’s AI Future

by Brendan Swan, posted in Big Data
Headshot of a smiling man in a suit, wearing a pink shirt and standing against a grey background.
B. Swan

Summary Bullets:

• Telstra and Google have expanded their partnership, leveraging complementary subsea and terrestrial fiber assets to strengthen regional connectivity and digital infrastructure.

• The partnership aligns with Google’s strategy to expand its infrastructure through deeper collaboration with telecom operators.

If telecom press releases were a streaming service, “Strategic Partnership” would be the show nobody gets hyped up about, but somehow it continues to be renewed for another season. So, when Telstra and Google announced yet another episode, it would be easy to save it under the industry favorites category: “Sounds important and involves cloud, platforms, and future opportunities.” The problem is that this one might actually matter. Behind the familiar language sits a partnership that reflects a bigger shift, where telecom operators are increasingly positioning themselves as digital infrastructure providers, and where hyperscalers are becoming more embedded in the infrastructure that carries the growing volumes of data, applications and digital services. As the demand for AI and cloud continues to grow, will partnerships like this become the new battleground for telecom operators?

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Remote Desktops/VDI – A Persistent Bad Idea

by Steven J. Schuchart Jr., posted in IT Leader
Close-up of a man with a bald head, glasses, and a styled beard, smiling at the camera.
S. Schuchart

Summary Bullets:

• The nature of the problems changed from local to network, requiring expensive network support rather than using PC technicians.

• It’s important to remember that many concepts in modern enterprise IT come up again and again cyclically, only to be characterized as ‘paradigm-changing’ by enthusiastic marketing teams.

The idea of remote desktops or streaming an employee’s Microsoft Windows desktop to a more affordable device or even in a window on a remote employee’s self-owned hardware has been around for a long time. The reasons were simple – less spending on desktop computers, easier support both on-site and particularly for remote, better security, and remote desktops worked particularly well for temporary or project-based access for outsiders. Citrix and VMware both made hay with remote desktops, especially in the era where PC hardware and Microsoft Windows itself were considerably less reliable than today.

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FinOps Takes on the AI Explosion, Including Token Management

by Charlotte Dunlap, posted in Cloud Enable
A smiling woman with shoulder-length blonde hair, wearing a white blouse, against a softly blurred background.
C. Dunlap
Research Director

Summary Bullets:

  • FinOps X conference takes place in San Diego, California (US) June 9-11, 2026.
  • Key themes will include how enterprises will operationalize AI-driven FinOps across platform engineering.

FinOps X conference in San Diego will take place in one week, and not surprisingly AI will dominate keynotes and discussions among FinOps practitioners. These experts will share insights into best practices for operationalizing AI-driven FinOps across platform engineering, including CICD, Kubernetes, and other cloud-native architectures.

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