Younger generations embrace the mainframe
Large enterprises have always relied on mainframe computing but with the rise of technologies like the cloud and AI many have predicted that those days are numbered.
Software solutions company BMC has released the results of its 20th annual BMC mainframe survey, which finds that in fact positive perception of the mainframe has reached an all-time high of 97 percent, highlighting that the mainframe remains a vibrant and growing platform.
New AI-powered code intelligence platform speeds up modernization efforts
Today’s enterprises are often stuck with legacy code that hampers attempts at modernization, maintenance and more.
To address this CoreStory is launching an AI-driven code intelligence platform that uncovers the fundamental insights in code to accelerate software modernization efforts quickly, efficiently and with greater confidence.
Dirty data and why it’s a problem for business [Q&A]
Organizations are sitting on troves of information yet struggle to leverage this data for quick decision-making. The challenge isn't just about having data, but working with it in its natural state -- which often includes ‘dirty data' not cleaned of typos or errors.
We spoke to CEO of analytics company WisdomAI, Soham Mazumdar, to find out more about this challenge and how businesses can deal with it.
How ‘confidential computing’ can add trust to AI [Q&A]
Artificial intelligence is finding its way into more and more areas of our lives. But while there are concerns around the use of the technology itself, there are much greater ones over how we secure it.
We spoke to Anand Kashyap, CEO and founder of Fortanix, to discuss confidential computing, a technology backed by Microsoft, Intel, Arm, AMD and Nvidia, which encrypts data while it's being processed, even by AI systems.
Shadow AI? No, nothing to see here…
Workers are increasingly using shadow AI to draft emails, analyze data, or summarize meetings, but are pretending they haven’t.
New data from marketing agency OutreachX finds 52 percent of US workers are worried about how AI will be used in their workplace in the future and that 48 percent of desk workers say they would be uncomfortable telling a manager they used AI for common tasks.
Helpdesks struggle to keep up with cyber threats
Helpdesks are bogged down by repetitive, time-consuming tasks (34 percent), long resolution times (34 percent) and limited resources (31 percent).
This is among the findings of the latest digital employee experience (DEX) report from Ivanti. It shows that while many businesses are automating certain operations, like security patch management (72 percent) and IT ticket routing (67 percent), but nearly 40 percent still haven't automated password resets -- missing an easy win that could eliminate countless routine support tickets.
Lookout uses AI to guard against mobile social engineering threats
As we do more and more on our mobile devices it’s clear that the front line of cyber defense isn't the corporate server it's the employee's phone.
As AI boosts social engineering, hackers are bypassing traditional firewalls to target people directly with smishing and phishing, making every employee a critical, and often vulnerable, defender against highly convincing threats.
Responding to the challenge of deepfakes [Q&A]
Recent advancements in publicly available AI models have made it incredibly easy to generate deepfakes -- so much so that attackers don’t need to be technical experts to pull off convincing deception campaigns.
Attackers can scrape public content to recreate someone's voice or face, and inject that fake identity into virtual meetings, phone calls, or even training videos.
Gigamon harnesses agentic AI to deliver guidance for security and IT teams
As cyber adversaries increasingly use AI to move faster and exploit blind spots, security, network, and application teams face mounting challenges, not helped by a global shortage of skilled professionals.
Observability specialist Gigamon is launching a new agentic AI application purpose-built for network-derived telemetry to deliver immediate guidance for security and IT operations teams.
New AI testing platform uses crowdsourcing to deliver better results
While crowdsourcing testing is increasingly popular the market has long struggled with lengthy setup times, inconsistent tester quality, poor signal-to-noise ratios.
Testing platform Testilo is seeking to address this with the launch of two new AI technologies, LeoAI Engine and LeoMatch. LeoAI Engine is a proprietary intelligence layer, while LeoMatch seeks to match the right testers to projects in real-time.
Software engineers need new skills in the age of AI
AI is transforming software engineering, changing what software engineers do and the skills they need to succeed. A new survey from Uplevel, of over 100 senior engineering leaders at mid-to-large technology companies, looks at what they believe will be the most important skills for their teams.
It finds that validation of AI outputs and quality assurance (QA) is valued highest, cited by 66 percent of leaders, followed by performance monitoring and optimization (39 percent), and system architecture and integration skills (34 percent)
Poor data quality is the biggest barrier to AI in insurance
Almost three-quarters of insurance underwriters say fragmented, siloed, and unstructured data -- not technology -- is the main barrier to AI transformation.
New research carried out by Reuters for technology transformation specialist CI&T shows that data fragmentation, unstructured formats, and siloed systems are the real roadblocks to delivering faster, more accurate underwriting and pricing.
Only 37 percent of recruiters prepared for AI’s impact on hiring
A new survey of 1,000 US HR and recruiting leaders shows teams are struggling to verify skills, assess culture fit, and find qualified candidates and that only 37 percent are prepared for an AI-driven future
The study from TestGorilla finds 58 percent struggle to verify skills on resumes, 47 percent find it difficult to identify candidates aligned with the company culture, and 43 percent cite a lack of skilled candidates in the market.
Poor data quality is hindering AI adoption
A new report reveals that although 84 percent of IT leaders say a Configuration Management Database (CMDB) is essential to driving decision-making and operations, a majority feel their current systems lack the data quality, accuracy and completeness they need, hindering the ability to maximize enterprise AI implementations.
The study from Device42 polled IT leaders across industries including finance, healthcare, government, and technology, and finds that over 50 percent of respondents use CMDBs, monitoring tools, or manual discovery processes, to gain insights about their infrastructure, yet 58 percent report a lack of confidence in their visibility.
Rethinking AppSec for the AI era [Q&A]
The application security landscape has always been a complex one and can lead to teams spending too much time hunting down vulnerabilities. With AI becoming more popular there are even greater risks to consider.
We spoke to Yossi Pik, co-founder and CTO at Backslash Security, to discuss how AppSec needs to adapt to the greater use of AI.
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