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.

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.

A new report from risk solutions company Resilience shows in the first half of 2025, the average cost of an individual ransomware attack rose by 17 percent, while the volume of incurred claims across Resilience's portfolio dropped by 53 percent, highlighting the persistent and destructive threat of financially motivated cybercrime.

Ransomware accounted for almost all (91 percent) of incurred losses, while financially motivated social engineering, especially via tailored attacks bolstered by AI-powered phishing content, fueled 88 percent.

We tend to think of cybersecurity as being a technology problem, but in fact it’s often about humans. Attackers exploit our weaknesses with social engineering, phishing and other attacks designed to trick us into giving up valuable information.

A new whitepaper released today by KnowBe4 looks at the core principles of a modern human risk management (HRM) approach and how organizations can apply the framework to strengthen security culture and drive measurable change in employee behavior.

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)

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.

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.

As people increasingly demand seamless experiences across platforms, developers face growing complexity in managing unified virtual economies.

In the games sector in particular companies need to leverage distributed architecture, virtual currencies, and real-time inventory reconciliation to ensure consistent user experiences and secure transaction flows.

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.

This Sunday, September 7th, the UK will test its emergency alert system, sending a message that will cause 4G and 5G mobile phones and tablets to emit a loud siren sound and vibrate for about 10 seconds.

But Marc Porcar, CEO of QR Code Generator, is warning that fraudsters are likely to exploit the upcoming government test, particularly targeting elderly and vulnerable people who may be confused by the alerts.

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.

Check Point is launching a new Enterprise Browser, extending zero trust security to unmanaged devices like BYOD, contractors, and third-party partners.

The new feature, available to Check Point Harmony SASE customers from today, delivers full visibility, granular policy enforcement, and compliance-ready data protection without persistent agents or endpoint ownership.

A new study sponsored by OPSWAT, a specialist in critical infrastructure protection, reveals that organizations face escalating risks from insider activity, legacy tools, and the growing complexity of artificial intelligence (AI).

Based on research carried out by the Ponemon Institute, the report finds that in the past two years, 61 percent of organizations have suffered file-related breaches caused by negligent or malicious insiders, at an average cost of $2.7 million per incident.

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.

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.”