Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Cyber risk remains at an elevated baseline. Ransomware holds at “new normal” highs, state actors exploit supply chains and zero-days, and AI accelerates attacks. Last week’s signals confirm active exploitation of known vulnerabilities and credential/ICS exposure. Winning CISOs reduce attack surface at first principles, assume breach, and enforce continuous validation with measurable business outcomes.

June's release brings a range of updates across Egnyte's platform, with the most notable addition being the Building Code Analyst, an AI-powered tool that helps AEC teams quickly surface relevant code requirements across jurisdictions. The release also includes Adaptive Block Caching (now generally available), expanded AI Assistant capabilities like agent mode and multi-file spreadsheet analysis, and several mobile improvements across iOS and Android.

At JFrog, our Security Research team continuously monitors and analyzes newly disclosed CVEs across the open-source ecosystem. Throughout our research, we have repeatedly observed cases where the assigned severity score does not accurately reflect a vulnerability’s real-world impact or exploitability. In fact, during 2025, JFrog researchers reassessed NVD critical-severity vulnerabilities and concluded that 96% warranted a lower severity rating.

Evaluating AI Security Posture Management (AI-SPM) tools is a critical process for organizations integrating AI, specifically Generative AI (GenAI) and Large Language Models (LLMs), into their workflows. Unlike traditional security tools, AI-SPM focuses on the unique risks of AI, including Shadow AI, prompt injection, data poisoning, model theft, and improper model configuration. When assessing AI-SPM tools, security leaders should prioritize the following capabilities.

AI governance platforms are evolving rapidly to manage new challenges such as shadow AI and agentic AI. These complexities arise as AI systems grow beyond traditional boundaries, operating autonomously and often without clear oversight. This article explores how leading AI governance solutions, especially Kovrr’s integrated platform, address these challenges through comprehensive visibility, risk quantification, compliance automation, and active enforcement.

Package registries have a well-known abuse pattern: attackers upload malicious packages, and unsuspecting developers install them. Our researchers just found the pattern working in reverse, in a RubyGems supply chain attack that turns the registry into a place to stash stolen data rather than deliver it.

Vulnerability management has long been seen as one of the most straightforward areas in security. Scan your assets, identify vulnerabilities, prioritize the findings, and patch what you can. On paper, it looks like a repeatable process. But in reality, vulnerability mitigation is anything but simple. Environments are constantly changing. Assets come and go. New integrations, temporary exceptions, and incomplete inventories make it hard to know what is truly at risk.

So, you want to be a cybersecurity analyst. With the rise in high-profile data breaches, privacy concerns and rapid technological advancements, there’s a greater demand for cybersecurity analysts now. And the demand for cybersecurity analysts is only expected to grow. But before you get too far into pursuing this job, let’s look into the basics of this profession. Below, we answer the most frequently asked questions about becoming a cybersecurity analyst.