Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Quantum computing is an emerging technology that presents significant data security risk to global organizations that rely on quantum vulnerable encryption algorithms, systems, and infrastructure. The threat isn’t theoretical. The risk of quantum-enabled attacks will fundamentally reshape how organizations encrypt their data, design their digital trust infrastructure, and maintain agility in production cryptographic systems.

Modern SOC teams are overwhelmed by volume, fragmented tools, and manual pivots. Here’s how integrated intelligence turns Tier 1 alerts into decisive, evidence-backed action without escalation. Security operations today are defined by scale, speed, and scrutiny. Tier 1 analysts face a constant stream of alerts, many of which lack context, prioritization, or clear indicators of impact. Every manual pivot between tools introduces delay. Every delayed verdict increases risk.

At Tines, we power important workflows for some of the most demanding teams in the world, and for years, that always meant supporting deterministic, auditable automation. But as reasoning models have matured, our customers have started asking a different question: what if the workflow itself could reason?

Broadly defined, web security threats are any malicious attempts to gain unauthorized access to a computer system, network, or data via the internet. These website security issues range from automated bot attacks to sophisticated social engineering. Essentially, any vulnerability in a web application or browser that a cybercriminal can exploit falls under this category. Understanding these web security threats is the first step toward building a resilient defence.

Migrating from Atlassian Data Center (DC) to Cloud is a strategic move for many organizations. While migration brings scalability, flexibility, and cost benefits, it also introduces challenges, especially around secure external access, data sharing, and business continuity. This is where Secure Share for Jira and Confluence becomes a powerful ally.

Editor's note: This guest article by Tanium Senior Sirector, Product Management, Julia Grunewald was originally published in SC Media Exposure management has emerged as a powerful alternative to traditional vulnerability management for good reason. A proactive, always‑on security discipline that continuously identifies an organization’s exposures and prioritizes them based on risk helps us know where to best focus our limited resources.

Maxime Lamothe-Brassard, founder and CEO of LimaCharlie, sought answers on AI’s current capabilities in the SecOps space. Plenty of benchmarks exist to test AI's knowledge of cybersecurity, but none test whether a model actually does the work. There's a significant difference between an AI that can answer trivia questions about CVEs and one that can pick up an alert, investigate it, and produce an incident report.That gap matters more now than ever.

If you’ve been in security operations for more than a few years, you’ve lived through the automation hype cycle at least twice. First, it was SIEM that was going to solve everything. Then SOAR was supposed to fix what SIEM couldn’t. Now, AI SOC platforms are delivering what SOAR always promised but never actually could.

Organisations are investing heavily in cyber security, with global spending on cyber security products and services projected to reach approximately $213 billion in 2025 and expected to grow further to around $240 billion by 2026. Yet, a persistent paradox remains: despite escalating budgets, the threat landscape continues to evolve, and data breaches and cyber attacks are becoming more sophisticated and prevalent.

A blanket “no AI” policy is not the answer for most organizations. Prohibiting something people find genuinely useful just drives it further underground.