This article explores how digital algorithms and short-form media can unintentionally shape our perspectives and lead to a "herd mentality." To reclaim independent thought, it sugg…
Modern IT teams are overwhelmed with alerts but struggle with *responding* to them effectively, leading to prolonged incident resolution times. The core issue isn't detection, but …
ManageEngine has been recognized with seven Global InfoSec Awards in 2026 for its innovative approach to converging identity governance and threat detection – areas traditionally h…
ManageEngine Log360 has been recognized at the Cybersecurity Excellence Awards in SIEM, SOC automation, and threat detection & response for its ability to improve detection quality…
ManageEngine is hosting its first user conference in Switzerland on November 3, 2026, at the Crowne Plaza Zürich. The conference, UserConf Switzerland 2026, will focus on helping I…
This article discusses “shiny object syndrome” – the tendency for businesses to adopt new technologies simply because they're trendy, leading to wasted resources and system complex…
This article emphasizes that simply *having* backups isn't enough to protect against cyberattacks – the speed of recovery is crucial. Major incidents like WannaCry and the Colonial…
Applications Manager now integrates with popular SIEM platforms like Splunk and Microsoft Sentinel, allowing performance data to be analyzed alongside security events. This integra…
Attack Surface Management (ASM) is a continuous process of discovering, monitoring, and mitigating risks across *all* an organization’s assets – including cloud resources, applicat…
Here's a concise summary of the article: This article highlights the growing importance of Multi-Factor Authentication (MFA) for enterprises facing increased cyber threats in dist…
This article highlights the often-overlooked cybersecurity risk posed by office printers, which can be vulnerable entry points for hackers due to outdated software and default sett…
The article warns that AI-generated content is increasingly susceptible to "data poisoning," where malicious actors manipulate training data to subtly influence AI outputs towards …