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Enterprises lose 11.5 hours a week to cloud issues

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DE-CIX has published research showing that enterprise IT teams spend an average of 11.5 hours a week resolving cloud connectivity issues. The findings are based on a survey of more than 400 IT and infrastructure decision-makers in the US and UK.

The study highlights a gap between confidence in network readiness and the time spent dealing with operational problems. While 96% of respondents said their organisations’ network infrastructure would support cloud and AI initiatives over the next two years, almost half said they spend more than 10 hours a week troubleshooting cloud connectivity issues.

That disconnect matters as companies increase spending on AI and cloud infrastructure and place more applications and data across multiple environments. The survey suggests networks remain a practical constraint for many businesses, even as they invest in data centres, compute and AI tools.

“AI has understandably brought renewed attention to GPUs, data centers, and compute capacity, but none of those investments deliver their full value without the network that connects them,” said Ivo Ivanov, Chief Executive Officer of DE-CIX.

“Every AI application depends on data moving quickly, securely, and predictably between users, clouds, and AI infrastructure. Our research suggests that far too many enterprises are still spending valuable time trying to maintain that kind of connectivity, with more than a third spending between 11 and 20 hours per week, and just under one in ten spending between 21 and 40 hours per week. This confirms what we already knew: network architecture can make or break AI adoption.”

Cloud complexity

The data indicates that multi-cloud set-ups are adding to the burden. As companies seek more control over where data is stored, processed and transferred, they are also dealing with data sovereignty rules, security concerns and the need for resilience across different cloud providers.

Among the main issues cited, 28% of respondents pointed to latency or slow performance between cloud environments, 27% cited security vulnerabilities or DDoS attacks, and 26% named downtime or reliability issues. Another 23% identified data sovereignty and geopolitics as their most significant cloud connectivity challenge over the next year.

Respondents also highlighted the cost of connectivity, staff expertise and limited visibility over data flows. Taken together, those responses suggest the problem is not confined to raw bandwidth, but extends to how networks are managed across increasingly fragmented cloud estates.

Private links

The research found that businesses are increasingly turning to private interconnection, which links enterprises directly to cloud providers over dedicated infrastructure rather than routing traffic over the public internet. Some 61% of companies already use private cloud connectivity and a further 31% are considering it.

Adoption, however, varies sharply by company size. Among organisations with 1,000 or more employees, 71% said they use private connectivity to clouds. For medium-sized businesses with 100 to 249 employees, the figure was 31%.

The survey also found a difference in the time spent fixing connectivity problems. Nearly one in ten smaller companies in the sample said they spend 21 to 40 hours a week dealing with such issues, compared with about one in 40 of the largest companies surveyed.

Those figures suggest larger businesses may be better placed to invest in direct interconnection and network design, while smaller firms face a heavier operational burden. For companies trying to deploy AI tools and cloud-based workloads, that can mean IT teams are diverted from development and security work into routine fault-finding.

Operational strain

Ivanov said the issue is not only application performance, but also how technical teams use their time.

“For enterprises, the opportunity is not only to improve application performance, but to reduce the operational burden created by complex cloud connectivity,” he said.

“If the average IT team is spending 11.5 hours each week resolving connectivity issues, then every hour removed from troubleshooting can be redirected toward higher-value work such as AI enablement, cloud modernization, security hardening, and user experience improvement. Smaller companies are being disproportionately burdened with connectivity challenges. By moving critical traffic away from best-effort internet paths and onto private, direct network interconnection, DE-CIX helps organizations create more predictable routes between users, applications, clouds, and data environments.”

DE-CIX operates internet exchanges and cloud interconnection services in multiple markets. Its research covered decision-makers in organisations with at least 100 employees across the UK and US, focusing on people in IT, cloud and infrastructure roles.

The findings add to a broader debate over whether enterprise AI adoption is being held back less by access to models and chips than by the practical challenge of moving data reliably between users, applications and cloud environments.



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Connected building systems pose growing cyber risk

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Restore Information Management has warned that connected building systems are becoming a cyber security risk for organisations, with many businesses failing to secure operational technology such as building management systems, access control and CCTV.

The warning comes as attackers expand their focus beyond traditional IT to target the technology that supports day-to-day building operations. These systems are increasingly internet-connected, remotely managed and linked to cloud services, widening the number of potential entry points for attackers.

Official figures underline the scale of the issue. The latest UK Government Cyber Security Breaches Survey found that 43% of UK businesses experienced a cyber security breach or attack in the past 12 months.

David Robinson, Head of Cybersecurity at Restore Information Management, said many organisations have basic weaknesses across their operational technology environments, particularly default settings and poor access controls.

“Many building systems still rely on default credentials straight out of the box. If these credentials aren’t changed, cyber criminals can gain access to critical systems with relative ease. As today’s digital building systems become increasingly connected, remotely managed and cloud-based, they are evolving faster than many organisations can secure them. Without the right controls, attackers could disrupt critical building systems, disable physical security measures or use them as a route into the wider corporate network,” Robinson said.

Attack surface

Robinson said one of the main steps organisations should take is to establish a full inventory of connected building systems, including building management systems, access control platforms, CCTV networks and environmental controls.

In practice, that means knowing what equipment is connected to the network, who is responsible for managing it and how users, contractors and suppliers can access it. Security teams often have a clearer view of laptops, servers and business applications than of operational technology embedded in buildings, creating a gap that can persist for years.

He also highlighted the risk posed by shared and default credentials. Manufacturer-set passwords remain common across a range of connected systems, and shared accounts can make it difficult to trace activity or remove access when a staff member or contractor leaves.

Restore urged organisations to replace default credentials as soon as systems are deployed, remove shared logins and ensure each employee or contractor has an individual account. That allows access to be monitored and withdrawn when required.

Remote access

Another area of concern is remote access for suppliers and maintenance providers. Building systems often rely on outside specialists for configuration, support and servicing, but these links can remain open long after a project has ended.

Robinson said access should be formally approved, reviewed regularly and removed once work is complete or contracts expire. Dormant contractor accounts, he added, should not remain active.

The issue has become more pressing as facilities technology has become easier to access from outside a site. Remote management can help operators maintain systems across multiple buildings, but it also creates another route that needs oversight from both facilities and cyber security teams.

Network separation

Restore also called for stronger segmentation between operational technology and corporate IT environments. Separating building systems from wider business networks can limit the damage if one part of the estate is compromised.

This matters because attackers who gain access to a connected operational system may try to move laterally into more sensitive parts of the organisation. Segmenting networks can make that movement harder and reduce the impact of a breach.

Security and facilities teams should work together to review legacy environments and identify where older systems can be better isolated. In many organisations, building technology has evolved in stages over a long period, leaving a mix of old and new equipment with varying security controls.

Strategic priority

Robinson’s final point was that operational technology should no longer sit outside mainstream cyber planning. He argued that connected building systems need to be included in an organisation’s wider security strategy, with regular reviews, staff awareness and stronger security design at the point of deployment.

That view reflects a broader shift in cyber risk management as physical infrastructure becomes more digital. Systems once treated mainly as facilities assets are now part of an organisation’s connected estate and can affect both physical security and business continuity if disrupted.

Restore Information Management is one of the UK’s larger information management providers and says it works with more than 6,000 clients, including more than 80% of NHS trusts. “Cyber security is no longer confined to servers and laptops. As buildings become smarter, the systems that control them require the same level of protection as every other critical asset,” Robinson said.



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Prince William-backed helicopter company profits rise

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Airbus Helicopters opened a new £50m headquarters and factory facilities at Oxford Airport in Yarnton.

Opened in September 2024 by Prince William, Airbus Helicopters employs around 250 people in Oxford and has room for 32 helicopters.

New accounts published by the company shows the business reported an annual profit of £10.1m in the calendar year 2025 also its first full year from Oxford.

This was up 13 per cent from £8.9m the year before.

READ MORE: Jeremy Clarkson praised for his efforts as he admits ‘no feeling like it’

Airbus Helicopters said this profit was boosted by a £2.5m foreign exchange gain and was despite a drop in turnover.

“The company has now completed its first full year of operations at the new, larger hangar facility at London Oxford Airport, following the move in July 2024 and the commencement of a 25-year lease agreement,” said Yann Rozo of Airbus Helicopters in a report.

“The company would like to recognise the positive contribution of its customers, employees and other stakeholders in achieving the results of 2025 and looks to further enhance these relationships during 2026.”

Revenue for 2025 was at £138.9m compared with £158.6m the year before.

The decrease in turnover compared to the prior year has been attributed to the timing of aircraft deliveries and the expiry of a Ministry of Defence contract.

Airbus completes helicopters built in France and Germany at its Oxford site before selling on to customers including the National Police Air Service.





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Cequence adds AI Gateway controls for agentic zero trust

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Cequence has introduced new functions in its AI Gateway and updated its Agent Personas system. The release brings model, API and tool controls together under what it calls Agentic Zero Trust.

The update adds AI Discovery, API Registry, LLM Registry and Skill Registry. It also expands Agent Personas so an AI agent’s assigned role determines which models, tools and services it can use.

Cequence is addressing a problem that has emerged as companies roll out AI agents across departments such as finance, marketing, human resources and operations. Security teams often have to review each new use case manually, creating delays and leaving governance split across separate systems for APIs, models and tools.

Under the new approach, an agent’s identity is linked to a defined job description. That description can specify approved large language models, permitted APIs, available tools and relevant guardrails, with those limits enforced through policy rather than case-by-case approval.

Unified controls

The release is designed to cover the main external channels used by AI agents. In Cequence’s framework, MCP governs how agents discover and use tools, the LLM Registry governs calls to and from language models, and the API Registry governs access to back-end services and data.

Agent Personas sit across those layers by binding the agent to a single role-based identity. Cequence argues that this prevents agents from operating beyond their intended remit, even if they encounter exposed credentials or vulnerabilities elsewhere in a system.

The announcement comes amid wider concern over how autonomous software agents are controlled once connected to enterprise applications and data. Companies have adopted scanners, gateways and prompt filters, but many security leaders still lack a single record of which agents are in use, what they can access and how they can be shut down if controls are breached.

Cequence also cited a recent incident disclosed by OpenAI in which two models escaped a sandboxed evaluation environment, crossed the open internet and breached Hugging Face production infrastructure. It used that case to argue that sandboxing alone does not constrain an agent if no policy binds it to a specific job.

“Most vendors look at agent governance and build another approval queue. We looked at it and built the persona instead,” said Shreyans Mehta, Chief Technology Officer and Co-Founder, Cequence. “An agent’s job should automatically determine what it can touch, without relying on a security team to manually map policy by hand every time someone wants a new use case. That’s what makes broad adoption safe and scalable. The agent gets exactly what its job requires, and nothing more.”

What is new

AI Discovery is intended to identify agents, LLM providers and MCP servers already operating inside an organisation by drawing on existing SIEM logs, including systems that did not go through a formal approval process.

According to Cequence, API Registry allows agents to call approved APIs without holding the underlying credentials. Instead, agents authenticate through a single AI Gateway access key, either through a web-based invocation tool or proxied endpoints.

Skill Registry is aimed at security and platform teams that want a pre-approved set of reusable functions for agents. Once a tool or workflow is vetted, it can be reused across different agent deployments without repeating the same review from scratch.

LLM Registry extends that logic to model access. Cequence said it brokers credentials across major LLM providers so agents do not hold a provider API key directly, while built-in data loss prevention checks prompts and responses for blocked content, including encoded payloads and non-approved Unicode characters intended to evade filters.

The registry can also apply model rules at team level, such as steering routine work to lower-cost models while reserving more advanced models for engineering tasks. It also provides token-level usage visibility, plus rate and spending controls linked to the persona behind each request.

Policy mapping

A central part of the release is the claim that policy enforcement can now be automated because the tools, APIs and skills available to an agent are formally catalogued. Without that catalogue, policy decisions have often depended on manual judgment.

“Automatic policy mapping was not possible until now, because there was nothing consistent for a policy engine to reason over,” said Abraham Jeevagunta, Vice President of AI Products, Cequence. “Before API Registry and Skill Registry, every tool and API a persona could be bound to was uncatalogued, so mapping policy to persona was a manual judgment call every time. Now, that record exists and the policy engine can read it directly. It is what lets a business user stand up a correctly governed agent without ever touching AI Gateway’s policy model themselves.”

The new functions are available as part of AI Gateway for existing Cequence customers. Cequence said its platform currently protects more than 10 billion daily API interactions and 4 billion user accounts.



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