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.
How AI agents are reshaping the threat landscape
The agentic AI ecosystem, powered by large language models (LLMs), is creating a new class of cybersecurity risks according to a new report.
The study from Radware finds AI agents can act autonomously, access tools and private resources, and interoperate between one another. As enterprises turn to AI agents, there is a need to govern and secure this new emerging layer of digital infrastructure.
Proactive agents bring AI to data analysis teams
Data insights platform WisdomAI is launching a new Proactive Agents feature that aims to supplement data analysis teams with the ability to proactively learn, monitor metrics, detect anomalies, prepare analysis, and execute decisions, allowing humans to focus on strategy and judgment.
“Data analysts have long been the gatekeepers to insights -- but they’re hard to scale, and no company can hire unlimited analysts,” says Soham Mazumdar, CEO and co-founder of WisdomAI. “Proactive Agents change that. They act as AI teammates that scale your data team’s capacity, increase productivity across the organization, and democratize access to analyst-grade work. Every employee can now benefit from the kind of monitoring and analysis that used to require dedicated headcount.”
Over half of UK SMEs set to adopt AI in the next year
A new report shows that 52 percent of UK SMEs are already using or plan to adopt AI tools within the next 12 months.
The study, from fintech company SumUp, is based on a survey of 750 business owners and decision makers within small UK businesses and finds that 27 percent see AI mostly as an opportunity, highlighting its potential to drive growth or increase efficiency.
New fully open and transparent large language model launches -- it’s Swiss, of course
The Swiss have something of a reputation for being methodical -- particularly when it comes to things like banking -- so it’s no surprise that they take a similar approach to creating a large language model.
EPFL, ETH Zurich and the Swiss National Supercomputing Centre (CSCS) have today released Apertus, a large-scale, open, multilingual LLM. Apertus -- Latin for ‘open’ -- the name highlights its distinctive feature, that the entire development process, including its architecture, model weights, and training data and recipes, is openly accessible and fully documented.
Recent Headlines
Most Commented Stories
BetaNews, your source for breaking tech news, reviews, and in-depth reporting since 1998.
© 1998-2025 BetaNews, Inc. All Rights Reserved. About Us - Privacy Policy - Cookie Policy - Sitemap.