Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Unified AI in XDR: A Single Source of Cyber Truth

Cyber threats are evolving fast, and your clients rely on you to stay ahead. Join us for an exclusive webinar to discover how XDR can harness AI across your entire IT environment – correlating data from networks, Cloud services, VPN logs, and more into a single, AI-driven security framework. AI dramatically improves threat detection accuracy while reducing false positives, so you and your team can focus on real risks instead of chasing alerts.

Best Practices for Implementing Continuous Monitoring to Improve Cybersecurity for the IoT

Continuous monitoring helps organisations to detect and respond to threats in real-time. It’s crucial for protecting against data breaches and ensuring system integrity. This article explains what continuous monitoring is, it’s importance and features, and best practices of continuous monitoring to strengthen your cybersecurity.

AI Data Compliance: All You Need To Know About DevOps Data Protection

The evolution of artificial intelligence has been rapid thus far. By 2030 the AI market is projected to reach $1.81 trillion. Technology supported by AI has been useful in many areas of life such as education, healthcare, or finance. That is reflected by the rate of AI adoption by organizations being 72% (2024). Even if you just look around you – many people use tools like ChatGPT for daily life or work, AI helps with email management or studying. What do these advancements in AI bring to DevOps?

Running DeepSeek AI privately using open-source software

Zeek is a powerful open-source network analysis tool that allows users to monitor traffic and detect malicious activities. Users can write packages to detect cybersecurity events, like this GitHub repo that detects C2 from AgentTesla (a well-known malware family). Automating summarization and documentation using AI is often helpful when analyzing Zeek packages.

API Armor: How Bybit's Real-Time Blacklisting Is Thwarting a $1.5B Crypto Heist

APIs present a security risk—that much is a given. Attacks on APIs have caused some of the most significant security incidents of the past decades. But the question now is: How can we flip the script and leverage their power to enhance security? Bybit might just have the answer. Bybit—one of the world’s leading cryptocurrency exchanges— recently leveraged the power of an API in the wake of a devastating security breach that resulted in a staggering $1.5 billion loss.

The Agentic AI Revolution: 5 Unexpected Security Challenges

As we stand on the brink of the agentic AI revolution, it’s crucial to understand the profound impact AI agents will have on how people, applications and devices interact with systems and data. This blog post aims to shed light on these changes and the significant security challenges they bring. It’s important to note that given the rapid pace of advancements in this field, we could not have anticipated many of the challenges discussed here just a few months ago.

Protect Your Devices: Mobile Phishing Attacks Bypass Desktop Security Measures

Zimperium warns of a surge in phishing attacks specifically tailored for mobile devices. These attacks are designed to evade desktop security measures in order to breach organizations through employees’ smartphones. Mobile phishing includes SMS phishing (smishing), QR code phishing (quishing), voice phishing (vishing), and mobile-targeted email phishing.

Error Message Vulnerabilities: Why They Matter and How to Prevent Them

Ever get one of those annoying error messages on your phone that gives way too much detail? You know, the ones that tell you the line of code that failed or the exact database query that crashed the app. As an app user, you may dismiss the message and move on. But did you know those overly verbose error messages could be exposing your personal data?

Gartner's AI TRiSM Market Guide Validates the Urgency of AI Agent Security

AI Agents are not just another tech trend; they are fundamentally reshaping how enterprises operate. These autonomous systems are deeply embedded into workflows, making real-time decisions, executing tasks, and integrating across an organization’s most critical systems. With this shift comes an undeniable reality: enterprises are handing over operational control to AI-driven entities without the necessary governance and security frameworks in place.