Security teams want automation but 96 percent face problems implementing it
A new survey of 750 senior cyber security professionals across the US, UK and Australia, carried out by Opinion Matters for ThreatQuotient, finds 97 percent now regard automation, increasingly powered by AI technologies, as essential to business operations.
However, despite 49 percent of respondents obtaining net new budget allocation for cybersecurity automation this year -- up from 39 percent last year -- 96 percent still face persistent challenges, particularly around technology limitations, lack of trust in the outcomes of automated processes, and insufficient time to implement solutions.
Over 71 percent of in-house IT builds fail to deliver
A survey of over 2,000 IT and security decision-makers finds that 71 percent of in-house IT builds are eventually abandoned. In heavily regulated industries like manufacturing and finance this rises to 83 percent, which underscores how complexity and compliance pressures make homegrown systems difficult to sustain.
The study from Exclaimer calls this ‘The DIY Mirage’, a false sense of control and efficiency that fades as maintenance demands, compliance risks, and long-term costs grow.
What do you need more -- a chief AI officer or better data? [Q&A]
According to recent research nearly half of FTSE 100 companies now have a Chief AI Officer (CAIO) -- with 42 percent of those hires made in just the past year.
Companies are clearly rushing to signal their AI credentials at board level, but is this a meaningful shift, or simply another wave of hype-led decision making? We spoke to Francisco Mateo-Sidron, SVP and head of EMEA at Cloudera, who believes that a CAIO alone can’t drive real results if enterprises don’t have data that’s built on solid foundations.
Modern workforce integration -- why AI agents need the same oversight as their human counterparts [Q&A]
Agentic AI is rapidly moving from concept to reality, prompting organizations globally to rethink how they integrate these technologies into their business operations. The use of AI agents in daily workflows is set to rise dramatically in the coming years, raising questions over what organizations need to do to manage them effectively, and what might happen if they fail to do so.
We spoke with Ann Maya, EMEA CTO at Boomi, about the evolution of AI agents, the steps businesses should be taking ahead of deployment, and why the principles of human workforce management may hold the key to responsible use.
How AI is changing the role of IT leaders
Artificial intelligence has redefined what it means to lead in IT, with 63 percent of IT leaders
reporting that their roles have evolved due to advances in AI.
A study, from IT management platform Atera, finds today’s IT leaders are increasingly responsible for driving business value. 49 percent cite business value leadership -- shaping strategy and translating AI into revenue and growth – as the top area of increased importance, and 47 percent point to orchestrating human-AI collaboration as a key change in their roles.
More than half of IT leaders lack resources despite increasing budgets
Although 74 percent of IT leaders expect budgets to rise in 2026 more than half say they still lack the internal resources to fix issues quickly or drive innovation.
A new report from DataStrike also finds 60 percent of organizations now rely on MSPs to manage data infrastructure, more than double the rate reported last year. This highlights a growing dependence on external expertise as teams tackle modernization and technical debt.
IT leaders want to see AI integrated into their technology stack
A new survey of more than 830 global IT decision makers finds that 94 percent are looking for ways to integrate AI into their technology stack, with 33 percent naming it a top priority. However, only 19 percent say that demonstrating AI usage and effectiveness is a top priority for next year.
The study from Flexera also shows that 80 percent of IT leaders report increased spending on AI applications and over a third believe they’re overspending. Additionally, 73 percent say their SaaS and cloud infrastructure costs have risen, with 67 percent stating that cloud expenses weigh heavily on their IT budgets.
Why, finally, all eyes are on OT [Q&A]
Operational technology and IT have historically tended to follow separate paths. But in recent times the spread of Internet of Things devices has seen the two moving closer together.
We spoke to David Montoya, Paessler global business development manager OT/IoT, to discuss how the OT landscape has evolved and why businesses need to be on top of the change.
Trust in AI grows but implementation is slow
New research finds that business trust in autonomous AI is growing, with 57 percent of organizations saying they’re ‘very confident’ in the technology’s reliability in core business processes.
Yet, despite this increasing trust, implementation is lagging. The survey from Insight Enterprises shows that six in 10 organizations are stuck in pilot or experimental phases. Most are deploying AI in low-risk, narrowly defined areas, with only 24 percent using it in production for clearly scoped use cases.
Life after DevOps -- the new initiatives challenging the status quo [Q&A]
The concept of DevOps has been around since the late 1980s and has been mainstream for the last 15 years or so. But there has recently been discussion around whether open-source platforms like System Initiative are challenging DevOps’ dominance.
We talked to Pablo Gerboles Parrilla, the founder and CEO of Alive DevOps, about what needs to change in how teams build and deploy software, and perhaps more importantly about what shouldn’t.
Generalist teams vs specialist tools -- the enterprise IT paradox [Q&A]
With hyperscalers better able to attract the best talent and headcount tight across the board, most enterprises are leaning heavily on generalist IT teams to manage their environments.
But in many cases the tools they’re expected to use were designed for specialists. Legacy tools like ConnectWise, Device42, or ServiceNow often require deep expertise, complex integrations, or expensive customization making them unsuitable for generalist teams.
How did it do that? Over half of IT leaders not confident explaining AI model decisions
A new report from Anaconda shows 51.4 percent of IT leaders say they’re not very confident in explaining AI model decisions to regulators, executives, or customers.
As a result they’re over-promising and under-delivering, and this trouble communicating creates unrealistic expectations for customers and stakeholders. 26 percent of respondents identify difficulty demonstrating ROI as a top concern. What’s more just 22 percent say they would describe their organization’s AI deployment as ‘strategic’.
Observability data drives key decisions on customer experience and more
The latest Splunk State of Observability report for 2025, released today by Cisco, shows that observability insights are guiding key business decisions in customer experience, product roadmap forecasting, and brand perception.
The study based on a survey of 1,855 ITOps and engineering professionals worldwide, and underscores how observability has evolved beyond an IT function to a boardroom priority. It finds 74 percent believe observability is important for monitoring critical business processes and 66 percent say it is key to understanding user journeys.
Addressing the data protection challenges of rolling out AI [Q&A]
Artificial intelligence is transforming the way that many areas of business operate. But with the benefits also come new risks to corporate data.
We spoke to Rohan Sathe, CEO and co-founder of Nightfall AI, to find out how AI risks exposing sensitive information and what companies can do to protect themselves.
Outdated finance systems drive away talent
Nearly 40 percent of finance professionals would consider changing employers due to outdated financial systems according to new research.
The report from insightsoftware shows businesses are struggling with the need for real-time insights and the younger generation’s demands for tools that eliminate inefficiencies and foster collaboration.
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