Artificial Intelligence (AI)

ChatGPT burst onto the scene just three years ago, but a new survey reveals that 34 percent of US adults now use AI platforms daily, and nearly half say they’re using them more than they were a year ago.

The survey, of over 1,000 from US adults, from Tinuiti shows that Gen Z and millennials are leading the AI charge. 67 percent of both groups use AI at least weekly. Platforms like ChatGPT, Google Gemini, Character AI, and Sora are carving out generational niches.

A new report reveals that security leaders are facing increased pressure in managing behavioral cybersecurity risk as the workforce transforms to include AI.

The study from KnowBe4, of 700 cybersecurity leaders and 3,500 employees, finds incidents relating to the human element surged by 90 percent in the past year. Examples of ways these incidents can occur include social engineering attacks such as phishing or business email compromise (BEC), risky or malicious behavior and human error.

More than one in three organizations (37 percent) say AI-driven attacks forced them to adjust their security approach over the past year according to a new report from Netwrix.

The global survey of 2,150 IT and security professionals from 121 countries finds 30 percent say their business uses AI and must now protect it like any other critical system. Compliance is catching up too, 29 percent report auditors now require proof of data security and privacy in AI-based systems.

With attackers moving faster using AI tools and attack surfaces growing more complex, security teams need solutions that remove manual work, deliver secure, context-aware intelligence instantly, and help them shift toward a pre-emptive security model.

This is why Bugcrowd is launching new functionality in the form of Bugcrowd AI Triage Assistant and Bugcrowd AI Analytics, to bring unprecedented speed and intelligence and insights to the process of building security resilience.

Work AI specialist Glean has today announced the launch of the Work AI Institute, a first-of-its-kind research initiative dedicated to decoding what actually drives results when companies commit to operating with AI projects at the core of their businesses.

The Work AI Institute brings together leading researchers from Stanford, Harvard, UC Berkeley, Notre Dame, University College London, Emory, and UNC Charlotte to answer the pressing question: What’s really working with AI at work? The Institute blends academic rigor with real-world data, experimentation, and end user insights to help enterprises separate signals from noise and accelerate meaningful AI impact.

Data that was once scattered across sprawling systems and silos -- providing natural obstacles to attackers -- is now concentrated and highly portable within AI models. This fundamental shift redefines the challenge of digital security.

We spoke to Dr. Luigi Caramico, CTO and co-founder of DataKrypto, to discuss how organizations can repond to this challenge.

A new report reveals an increasing disconnect between cybersecurity and compliance priorities and organizational capacity to address them.

The study from Secureframe, based on a survey of 255 security, compliance, and IT professionals, finds security teams are carrying unprecedented responsibility with insufficient resources, manual compliance work is consuming critical time, and the absence of verifiable security credentials is directly impacting revenue.

In order to thrive in 2026 developers will need to align human creativity with AI, delivering software that is not only faster and smarter, but also more transparent, more intuitive, and more human-centered than ever before.

This is the conclusion of the latest software development trends report from Infragistics. It looks at how AI-driven intelligence, predictive UX, adaptive design systems, and ethical data governance will define the next era of digital innovation and what technology leaders can do to prepare.

A new report from Komprise shows that 85 percent of IT and data storage leaders are projecting an increase in data storage spend in 2026, while 74 percent are storing more than 5PB of unstructured data, a 57 percent increase over 2024.

To cope with these rising data volumes and outsized spending, enterprise IT infrastructure teams are looking to implement unstructured data classification. Survey respondents rank this as the top strategy to discreetly understand data for storage optimization, data governance, ransomware defense, security and AI curation needs. In parallel, classifying and tagging unstructured data is the top challenge in preparing unstructured data for AI.

The use of AI across modern enterprises in recent years has accelerated, with innovation at the forefront and APIs serving as the crucial enabler behind the scenes.

Now, agentic AI, capable of autonomous actions and decision-making, but this shift exposes several gaps in API documentation, drift in specifications and insufficient safety guardrails, all of which can lead to serious implications for organizations.

Most organizations lack the monitoring capabilities and governance policies needed to mitigate risks posed by shadow AI according to a new report.

The survey, of 600 IT leaders across North America, EMEA, and APJ, from Cato Networks finds that while 61 percent of respondents found unauthorized AI tools in their environments, only 26 percent have solutions in place to monitor AI usage. Nearly half (49 percent) of the respondents either don’t track AI usage at all or address AI on a reactive basis.

Only six percent of enterprise AI leaders say their data infrastructure is fully ready for AI according to a new report from CData Software.

The research exposes a divide in AI preparedness. 60 percent of companies at the highest level of AI maturity have also invested in advanced data infrastructure, while 53 percent of organizations struggling with AI implementations are hampered by immature data systems. The gap is costing companies time, money, and competitive advantage.

New research finds just two percent of organizations with 500+ employees report having no plans or interest in agentic AI. Indeed a significant portion of respondents are already using or interfacing with AI agents for both internal and external tasks.

But the study, from Enterprise Management Associates (EMA), reveals a critical, organization-wide inability to prepare for the identity and security challenges which these autonomous entities introduce.

Modern security operations centers (SOCs) face a perfect storm of complexity: growing alert volumes, fragmented tools, and pressure to respond faster than ever.

Intelligent operations platform Sumo Logic is announcing new advancements to Dojo AI, its enterprise-grade agentic AI platform for security operations to help security teams reduce alert fatigue, accelerate investigations, and streamline security workflows.

Scam phone calls are a fact of life these days, whether it’s home improvement grants or someone pretending to be your bank. UK mobile network O2 recently blocked 50 million dodgy calls monthly using its defense system.

But now they’re often being made using AI rather than real people in distant call centers. Naveed Janmohamed, CEO and founder of the AI research assistant Anara, says learning to spot artificial voices during phone calls might save thousands of people from sophisticated cons that have already stolen millions from unsuspecting consumers.