AI is challenging organizations to rethink cyber resilience
A new report from managed security services company LevelBlue reveals that organizations are forging ahead with AI innovations despite increased security concerns.
The report shows AI-powered attacks, such as deepfakes and synthetic identity attacks, are expected to rise in 2025, but many remain unprepared. The report finds that only 29 percent of executives say they are prepared for AI-powered threats, despite nearly half (42 percent) believing they will happen.
Cloud waste -- why it's a problem and how to tackle it [Q&A]
In recent years, businesses have stampeded to move systems to the cloud. But in doing so they often unwittingly introduce multiple layers of virtualization which means they can be paying to run the same processes multiple times.
Can optimization techniques help to improve performance and cut cloud costs? We spoke to Dr. Ignacio M Llorente, CEO and founder of OpenNebula Systems to find out more.
Enterprises struggle with serious gaps in cyber response plans
A new survey of 1,000 businesses across the UK, UK, Europe and the Asia-Pacific region reveals a worrying disconnect between organizations' perceived readiness and actual performance in cyber crisis response.
The study for Semperis, with research from Censuswide, finds 90 percent of enterprises surveyed struggle with serious blockers to effective cyber response. Top issues include cross-team communication gaps (48 percent), out-of-date response plans (45 percent) and unclear roles and responsibilities (41 percent).
Navigating data privacy and security challenges in AI [Q&A]
As artificial intelligence (AI) continues to reshape industries, data privacy and security concerns are escalating. The rapid growth of AI applications presents new challenges for companies in safeguarding sensitive information.
Emerging advanced AI models like Deepseek, developed outside the US, underscore the risks of handling critical data. We spoke to Amar Kanagaraj, CEO of Protecto -- a data guardrail company focused on AI security and privacy -- to get his insights on the most pressing AI data protection challenges.
New Qualys tool aims to streamline enterprise compliance audits
Enterprises are grappling with an increasing compliance burden, subject to multiple frameworks and more regulatory mandates that stretch resources and drive-up costs.
Misconfigurations can further complicate things, often leading to non-compliance and regulatory penalties. Plus time-consuming tasks like auditing, reporting, and system remediation are prone to human error.
Crisis in 'digital dexterity' threatens AI investments
A new study shows that 92 percent of IT leaders believe the new era of digital transformation will increase digital friction and that less than half (47 percent) of employees have the requisite digital dexterity to adapt to technological changes.
The report from digital employee experience (DEX) specialist Nexthink, based on a survey of 1,100 IT decision makers worldwide, shows a further 88 percent expect workers to be daunted by new technologies such as generative AI.
Popular LLMs produce insecure code by default
A new study from Backslash Security looks at seven current versions of OpenAI's GPT, Anthropic's Claude and Google's Gemini to test the influence varying prompting techniques have on their ability to produce secure code.
Three tiers of prompting techniques, ranging from 'naive' to 'comprehensive,' were used to generate code for everyday use cases. Code output was measured by its resilience against 10 Common Weakness Enumeration (CWE) use cases. The results show that although secure code output success rises with prompt sophistication all LLMs generally produced insecure code by default.
Detectify improves app security testing with intelligent recommendations
Security teams know they need to test their main applications, but they often struggle to identify which other assets to cover. On average, organizations can miss testing nine out of 10 of their complex web apps.
Security testing platform Detectify is announcing the launch of its new Asset Classification and Scan Recommendations capabilities which enable organizations to easily identify and swiftly act on their complex web applications.
Half of security issues in Agentic AI code are API-related
A new report from API and AI security solutions company Wallarm finds that of around 4,700 security issues analyzed in Agentic AI projects, 49 percent were API-related, underscoring the inseparable nature of agent and API security.
The report also finds that over 1,000 issues in Agentic AI repositories remain unaddressed. 22 percent of reported security issues remain open too, with some lingering for 1,200-plus days, highlighting a critical gap between vulnerability discovery and remediation.
No Linux for old men -- ArcoLinux reaches the end of the line
The ArcoLinux project is winding down after eight years because its project lead is beginning to feel his age.
Announcing the move in a blog post, Erik Dubois says the ArcoLinux community will discontinue its distribution and related projects.
Visa makes public its product design system to streamline payment app creation
In today's fast-paced digital landscape, many product teams are under pressure to deliver payment solutions faster while ensuring accessibility and security across platforms.
To help address these industry needs, payments company Visa is announcing today that for the first time its Visa Product Design System (VPDS), an all-encompassing platform within the Visa technology stack designed to improve the product design and development process, will be publicly available.
IRONSCALES launches deepfake protection to combat social engineering attacks
Deepfake-driven social engineering attacks continue to gain momentum but technical solutions to the issue have so far been slow to emerge.
A recent study from IRONSCALES found that traditional Secure Email Gateways (SEGs) fail to stop an average of 67.5 phishing attacks per 100 mailboxes every month. The company is announcing the launch of a new product offering deepfake protection for enterprise email security.
AI tools present critical data risks in the enterprise
New research shows that 71.7 percent of workplace AI tools are high or critical risk, with 39.5 percent inadvertently exposing user interaction/training data and 34.4 percent exposing user data.
The analysis from Cyberhaven draws on the actual AI usage patterns of seven million workers, providing an unprecedented view into the adoption patterns and security implications of AI in the corporate environment.
Gen Z know the risks but still reuse passwords
A new survey of 2,300 adults worldwide reveals that 79 percent of Gen Z believe reusing the same password across multiple accounts is risky, however, 72 percent still admit to doing so.
The study from Bitwarden ahead of next Thursday's World Password Day also shows 59 percent of Gen Z admit to reusing an existing password when updating an account with a company that has experienced a data breach, this is compared to just 23 percent of Boomers.
The in-demand AI job roles and what they mean for business [Q&A]
As artificial intelligence finds its way into more and more areas there are concerns around accuracy, security, jobs and more.
Addressing these means organizations will need to fill some new roles. To find out what they are and what impact they will have we spoke to Aimei Wei, chief technical officer and co-founder of Stellar Cyber, to get her views on the AI hiring market.
Ian's Bio
Ian spent almost 20 years working with computers before he discovered that writing about them was easier than fixing them. Since then he's written for a number of computer magazines and is a former editor of PC Utilities. Follow him on Mastodon
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