Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

At ThreatQuotient a Securonix company, we’ve cracked the code on how to use threat intelligence to simplify security operations. It involves using automation and AI to accelerate and improve threat intelligence management to help teams work smarter, not harder. Our ThreatQ Platform provides a data-driven way to streamline the threat intelligence lifecycle – a structured process for collecting, analyzing, distributing, and honing threat intelligence to improve defenses.

AI is now part of customer service, product design, operations, and decision making. That reach brings real benefits, and it also surfaces personal and sensitive data in new places. It raises the question: How do we ship useful AI while protecting people and meeting laws? This guide helps you understand AI and data privacy as one practice through core principles, common pitfalls, practical controls, and a step by step plan to build privacy into your AI stack from the start.

In the world of identity security, organizations evaluating solutions want to understand why CyberArk stands out as the top choice. Leaders aren’t just looking for a rundown of capabilities – they want to understand what peers across industries are choosing and why.

API security breaches have reached a crisis point, with 57% of organizations experiencing API-related breaches in the past two years. Only 13% of organizations can prevent more than 50% of API attacks, while 84% of security professionals experienced an API security incident in the past year. The average cost to remediate API incidents was $591,404 in the United States, increasing to $832,801 in the financial services sector.

Over the past few years, software has undergone a significant shift in how businesses approach security. The old model of responding to problems after the fact is no longer viable; organisations are moving to a security-first approach, where security is a priority throughout the entire development process. However, this transition is more than just a timing change; it is a complete reevaluation of how security aligns with development and operations.

How AI can transform even Microsoft's own documentation to meet its style standards.

Scams are getting slick, but your best defense is still fast, calm thinking. In one minute, you can scan any email, text, or DM and decide if it’s safe. Use the checklist below, then save the quick steps for what to do if you already clicked.

JFrog Security Research recently discovered and disclosed multiple CVEs in the highly popular Chaos engineering platform – Chaos-Mesh. The discovered CVEs, which we’ve named Chaotic Deputy are CVE-2025-59358, CVE-2025-59360, CVE-2025-59361 and CVE-2025-59359. The last three Chaotic Deputy CVEs are critical severity (CVSS 9.8) vulnerabilities which can be easily exploited by in-cluster attackers to run arbitrary code on any pod in the cluster, even in the default configuration of Chaos-Mesh.

The Forward Networks platform creates a complete digital twin of your network—but the power of that data multiplies when it’s accessible via API. Whether you’re pushing insights into dashboards, validating changes before rollout, or automating ticket generation, the API puts your network state into your workflows.

Linux kernel v6.17 is on the horizon (expected release by the end of September 2025 – Canonical said to release 25.10 with the new kernel in early October), and it brings some interesting security-focused improvements. This release continues Linux’s trend of hardening the kernel against both hardware-level vulnerabilities and general attack vectors, while refining security subsystems for better performance and maintainability.