Insider Risk | Breaking Cybersecurity News | The Hacker News

A recent analysis of enterprise data suggests that generative AI tools developed in China are being used extensively by employees in the US and UK, often without oversight or approval from security teams. The study, conducted by Harmonic Security, also identifies hundreds of instances in which sensitive data was uploaded to platforms hosted in China, raising concerns over compliance, data residency, and commercial confidentiality. Over a 30-day period, Harmonic examined the activity of a sample of 14,000 employees across a range of companies. Nearly 8 percent were found to have used China-based GenAI tools, including DeepSeek, Kimi Moonshot, Baidu Chat, Qwen (from Alibaba), and Manus. These applications, while powerful and easy to access, typically provide little information on how uploaded data is handled, stored, or reused. The findings underline a widening gap between AI adoption and governance, especially in developer-heavy organizations where time-to-output often trumps policy ...

When generative AI tools became widely available in late 2022, it wasn't just technologists who paid attention. Employees across all industries immediately recognized the potential of generative AI to boost productivity, streamline communication and accelerate work. Like so many waves of consumer-first IT innovation before it—file sharing, cloud storage and collaboration platforms—AI landed in the enterprise not through official channels, but through the hands of employees eager to work smarter. Faced with the risk of sensitive data being fed into public AI interfaces, many organizations responded with urgency and force: They blocked access. While understandable as an initial defensive measure, blocking public AI apps is not a long-term strategy—it's a stopgap. And in most cases, it's not even effective. Shadow AI: The Unseen Risk The Zscaler ThreatLabz team has been tracking AI and machine learning (ML) traffic across enterprises, and the numbers tell a compelling story. In 2024 ...

For many organizations, identity security appears to be under control. On paper, everything checks out. But new research from Cerby, based on insights from over 500 IT and security leaders, reveals a different reality: too much still depends on people—not systems—to function. In fact, fewer than 4% of security teams have fully automated their core identity workflows . Core workflows, like enrolling in Multi Factor Authentication (MFA), keeping credentials secure and up to date, and revoking access the moment someone leaves—are often manual, inconsistent, and vulnerable to error. And when security execution relies on memory or follow-up, gaps appear fast. Human error remains one of the biggest threats to enterprise security. Verizon's 2025 Data Breach report found that the human element was involved in 60% of breaches. The same manual missteps that led to breaches a decade ago still expose identity systems today. Cerby's 2025 Identity Automation Gap research report shows just how wi...

As cyber threats loom large and data breaches continue to pose increasingly significant risks. Organizations and industries that handle sensitive information and valuable assets make prime targets for cybercriminals seeking financial gain or strategic advantage.  Which is why many highly regulated sectors, from finance to utilities, are turning to military-grade cyber defenses to safeguard their operations. Regulatory Pressures Impacting Cyber Decisions Industries such as finance, healthcare, and government are subject to strict regulatory standards, governing data privacy, security, and compliance. Non-compliance with these regulations can result in severe penalties, legal repercussions, and damage to reputation. To meet regulatory requirements and mitigate the ever-increasing risk, organizations are shifting to adopt more robust cybersecurity measures. Understanding the Increase of Threats Attacks on regulated industries have increased dramatically over the past 5 years, wi...