Artificial Intelligence (AI)

In October, one in every 44 GenAI prompts submitted from enterprise networks posed a high risk of data leakage, impacting 87 percent of organizations that use GenAI regularly.

A study from Check Point Research finds an additional 19 percent of prompts contained potentially sensitive information such as internal communications, customer data, or proprietary code. These risks coincide with an eight percent increase in average daily GenAI usage among corporate users.

Businesses are keen to deploy AI but doing so across hybrid and regulated environments, and managing the resulting workloads, remains deeply complex.

This is why Gcore is launching Everywhere AI, a deployment platform that allows enterprises to deploy, scale, and optimize AI workloads flexibly across on-premises, hybrid, and cloud environments while maximizing performance, efficiency, and revenue.

There’s been a boom in AI in recent years and the technology has found its way into more and more areas of commercial enterprise.

But in the rush to adopt AI is the quality of the underlying data being ignored? We spoke to Krishna Subramanian, co-founder and COO of Komprise to find out why good data governance is key to implementing AI successfully.

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.

While AI adoption is now nearly universal, governance and visibility have failed to keep pace, according to a new report from Cycode.

The study shows that 97 percent of organizations are already using or piloting AI coding assistants, and all confirm having AI-generated code in their codebases. Yet, despite this near-total adoption, 81 percent lack visibility into AI usage and 65 percent report increased security risks associated with AI.

AI systems are only as dependable as the data and validation that lies behind them. Yet many organizations struggle to test AI models comprehensively across languages, regions, and use cases.

That’s why crowdsourced testing platform Testlio is launching a new, end-to-end AI testing solution as the latest addition to its managed service portfolio.

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.

A new survey of global technology leaders across Brazil, China, India, Japan, the UK and US suggests that agentic AI will reach mass or near-mass adoption by consumers in 2026.

The study by IEEE shows top uses are likely to be personal assistant/scheduler/family calendar manager (52 percent), data privacy manager (45 percent), health monitor (41 percent), errand and chore automator (41 percent) and news and information curator (36 percent).

APIs were once treated as behind-the-scenes connectors. Today, they are the enterprise nervous system, linking cloud workloads, data platforms, SaaS tools, and increasingly, autonomous AI agents. This centrality makes them irresistible targets.

According to multiple industry reports, API-related vulnerabilities are among the fastest-growing classes of security incidents. The problem isn’t just exposure; it’s amplification. A single unprotected API can open the door to everything it touches, from sensitive customer records to critical operational systems.

A new report finds that while 73 percent of employees are encouraged to use AI 33 percent don’t always follow AI policies.

The study from 1Password, based on data from 5,200 desk-based knowledge workers across the US, Canada, the UK, Germany, France, and Singapore, also finds 52 percent of employees have downloaded apps without IT approval.

Employees receive large numbers of emails every day and it’s estimated that 25 to 35 percent of these will be from people they haven’t communicated with before. Knowing whether or not a message has come from a legitimate new sender is almost impossible.

Until now that is. Email security specialist StrongestLayer is launching AI Advisor, a security assistant designed specifically to verify first-time senders and unknown contacts in real-time.

Many people worry that AI and automation will lead to people losing their jobs and that this could be true even at senior levels.

We spoke to Alex Walsh, CEO and co-founder of agentic AI platform Oraion, who believes that, instead of destroying jobs, AI can actually enhance them.

A new study from OpenText of nearly 1,800 global IT and security leaders shows a false sense of confidence in ransomware readiness.

The report shows that 95 percent of respondents say they’re confident in their ransomware recovery -- yet only 15 percent of those attacked have fully recovered their data.

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’.

Security leaders estimate that, on average, cyber incidents cost their organization $3.7 million, with 46 percent suffering from an outage or disruption to their services as a consequence of attacks.

A new survey from Red Canary of 550 security leaders, from the US, UK, New Zealand, Australia, and the Nordic countries, finds that SOC teams continue to struggle with the challenges of securing cloud environments, identities, and AI technologies amid evolving threats.