Efficient cyber threat detection is the cornerstone of an effective cybersecurity program. This post ranks the top eight cyber threat detection tools dominating the cybersecurity solution market in 2025.

AI has become both a powerful ally and a formidable weapon in today’s cybersecurity landscape. While AI enables security teams to detect and neutralize threats with unmatched speed and precision, adversaries are equally quick to exploit its potential with increasingly sophisticated and automated attacks. This duality has created an arms race in which organizations must not only adopt AI but continually innovate to stay ahead.

My conversation with Cian Geoghegan, Reddit’s Staff CorpTech Systems Engineer, was packed with valuable insights and actionable takeaways for IT teams. Webinar attendees got to hear how Cian's team uses Tines to automate critical IT processes, improve efficiency and reduce manual workloads. Read on to hear, in Cian’s own words, why Reddit chose Tines for their IT orchestration and automation, what improvements they’ve seen so far, and what the future holds.

Leading technically qualified people can be inherently complex and enigmatic. This unique workforce of incredibly smart people requires a different leadership approach than what might commonly be used in many other workforces.

As organizations race to adopt the latest advancements in artificial intelligence, DeepSeek serves as a cautionary tale about the potential dangers of rushing into the hype cycle without adequate consideration of security and ethical implications. DeepSeek, a Chinese AI startup, has been identified as having several significant security risks and vulnerabilities that could pose threats to both the company and its users.

Collaboration platforms like Atlassian Jira and Atlassian Confluence contain sensitive company and employee data, making them critical targets for cyberattacks. Teams use Jira to track and manage projects, and rely on Confluence as an internal knowledgebase for documentation, company policy guides, team wikis, and more. Atlassian organizations, which provide a centralized place for admins to manage their Atlassian products and users, are also prime targets.

Guide for Payment Processors SAQ D begins with a major challenge in today’s digital payment landscape. Payment processors must secure payment pages across thousands of merchant websites, far beyond managing a single payment system. Let’s put this in perspective: Real-world example: A payment processor with 10,000 merchants needs to monitor approximately 30,000 payment pages daily. That’s 30,000 potential points of vulnerability requiring constant surveillance.

Sensitive data is information that must be protected against unauthorized disclosure. It can be in physical or electronic form and includes PII (Personally identifiable information), PHI (Protected health information), and more. There are three main types of sensitive data that hackers and malicious insiders tend to exploit: personal, business, and classified information.