Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Unauthorized access, insider threats, and privilege misuse can all lead to significant data breaches, and often, the root of the problem lies in how privileged accounts are managed. That’s why controlling privileged access is a top security priority for organizations of all sizes. Two common approaches to managing privileged access are Privileged User Management (PUM) and Privileged Access Management (PAM).

The Arctic Wolf Labs team has identified a new campaign by cyber-espionage group Dropping Elephant targeting Turkish defense contractors, specifically a manufacturer of precision-guided missile systems. The campaign employs a five-stage execution chain delivered via malicious LNK files disguised as conference invitations sent to targets interested in learning more about unmanned vehicle systems.

With global e-commerce transactions projected to exceed $8.1 trillion by 2026, according to Statista, payment gateways are an irresistible target for attackers. A single exploit, like a poorly configured API or insecure redirect, can lead to massive fraud, compliance violations, and irreparable loss of customer trust. Yet, many businesses still rely on surface-level testing or compliance checklists, missing critical flaws in business logic, API behavior, and payment flow integrations.

The recent SharePoint zero-day exploits expose a critical blind spot: hardcoded secrets hidden in collaboration tools. While teams secure code repositories, API keys and credentials lurking in SharePoint documents create dangerous attack vectors for lateral movement.

Security teams often find themselves having to put out the immediate fires in front of them, but this comes at the expense of implementing a more methodical risk reduction strategy. Attack surfaces are expanding, and new risks emerge with new tech. Modern security operations center (SOC) teams are drowning in alerts, stretched thin by talent shortages, and racing to stay ahead of increasingly sophisticated adversaries.

What is LLM Scraping? We’re entering a new phase of the Internet, one that is increasingly shaped by generative AI. These systems need data, and lots of it. To meet this hunger, they scrape the web, pulling in everything from news articles and academic journals to product listings, metadata, and user-generated content. This practice, known as large language model (LLM) scraping, has moved far beyond traditional bots indexing public sites.

VPNs have their time and place. But at Teleport, we don’t think accessing internal engineering resources is one of them. VPNs create friction, slow down development workflows, and often become security bottlenecks. That's where VNet comes in. Teleport VNet was designed to give engineers a secure way to access internal applications without VPNs or port forwarding.

The cybersecurity community is facing yet another critical infrastructure vulnerability that threatens enterprise networks worldwide. CVE-2025-5777, dubbed "CitrixBleed 2" by security researcher Kevin Beaumont, represents a dangerous out-of-bounds memory read vulnerability in Citrix NetScaler ADC and Gateway devices. This new flaw bears an unsettling resemblance to the original CitrixBleed (CVE-2023-4966), which was widely exploited by ransomware groups and nation-state actors in 2023.

The first half of 2025 has been a period of disruption and realignment within the ransomware ecosystem. Following years of dominance by a few key players, the landscape has fragmented into a chaotic and highly competitive market defined by new leaders, divergent attack strategies, and a laser focus on high-pressure targets. In total, more than 3,000 ransomware incidents were recorded in the first six months of the year. The overall threat has not diminished; it has become more unpredictable.

On July 17, 2025, Ukraine’s Computer Emergency Response Team (CERT-UA) publicly reported LAMEHUG, which is being documented as the first known malware that integrates large language model (LLM) capabilities directly into its attack methodology.