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Cloud Security Challenges & Solutions in 2025
May 30, 2025
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By Sunil Sonkar
Adoption of cloud computing is increasing at a rapid page as it has brought significant advantages for businesses. However, it has also simultaneously introduced some new cloud security challenges and it should not be ignored. Securing assets has become a top priority for companies amid migration of their infrastructure, applications
by Alison Mack
Understanding the Realm of Non-Human Identities in Cloud Security Is your organization fully prepared to confront the new wave of cloud security challenges? If your answer is uncertain or negative, have you considered transforming your cybersecurity strategy to include Non-Human Identities (NHIs) and secrets management? Imagine the NHIs as ‘tourists’
by Jon Stojan
In 2025, integrating artificial intelligence (AI) and machine learning (ML) into cybersecurity is no longer a futuristic ideal but a functional reality. As cyberattacks grow more complex and targeted, AI technologies have become central to modern defense strategies. These systems detect and mitigate threats more efficiently and predict them before
Proactive Cybersecurity – Staying Ahead of Threats with a Preventive Approach
May 27, 2025
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By Kaaviya
The old adage “Prevention is better than cure” has taken a new, more urgent meaning in the cybersecurity community. With 600 million cyber attacks per day, several companies have started investing heavily in proactive cybersecurity measures that encompass risk-based vulnerability management, predictive threat intelligence feeds, attack surface management (ASM), and many other
Detection as code: Revolutionizing security operations through automated, intelligent threat detection
May 23, 2025
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by Bill Brenner
In an era of increasingly sophisticated cyber threats, security teams are seeking more intelligent and agile approaches to threat detection. Detection as code represents a transformative strategy that applies software development principles to security monitoring, enabling organizations to create more robust, flexible, and precise detection mechanisms. Gary Harrison, Staff Detection