Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Are you struggling to secure your IoT devices? Zero Trust IoT security provides a solution by ensuring continuous verification of every device and user. This article will explain the core principles of Zero Trust, how it reduces risks, and practical steps MSPs can implement to protect IoT environments.

As AI continues to weave itself into the fabric of everyday business operations, it’s bringing real ethical questions to the forefront—especially around how data is used and protected. With innovation moving fast, tech leaders can’t afford to treat privacy and ethics as afterthoughts. It’s on us to build systems that respect people’s rights from the ground up and to make sure our use of AI reflects the values society expects us to uphold.

In 2025, hybrid cloud environments have emerged as a cornerstone for businesses striving to modernize their IT infrastructure. From leveraging AI-driven tools to enhancing performance, sustainability, and security, hybrid cloud is paving the way for a new era of efficiency and growth.

Today, Cato Networks published the 2025 Cato CTRL Threat Report. It is the inaugural annual threat report from Cato CTRL, the Cato Networks threat intelligence team. The key theme for this year’s report is artificial intelligence (AI), which reflects the current cybersecurity landscape where AI usage is skyrocketing among vendors—and threat actors. Within the report, we examine the security risks associated with LLMs and the increased adoption of AI applications within organizations in 2024.

Github Copilot became the subject of critical security concerns, mainly because of jailbreak vulnerabilities that allow attackers to modify the tool’s behavior. Two attack vectors – Affirmation Jailbreak and Proxy Hijack – lead to malicious code generation and unauthorized access to premium AI models. But that’s not all. Contents hide 1 Jailbreaking GitHub Copilot 1.1 Affirmation jailbreak? “Sure,” let’s exploit the AI system(s) 2 Proxy Hijack.

My two previous recent postings on AI covered “Agentic AI” and how that impacts cybersecurity and the eventual emergence of malicious agentic AI malware. Both of those articles started to touch on the idea of automated agentic AI defenses. This posting goes into a little more detail on what agentic AI defenses might mean. It starts with agentic AI, which is a collection of automated programs (i.e., bots or agents) working toward a common goal.

The rise of connected devices has fundamentally reshaped industries, enabling unprecedented levels of automation, efficiency, and innovation. These devices fall under the Extended Internet of Things (XIoT), a broad category encompassing traditional Internet of Things (IoT) devices, operational technology (OT), industrial control systems (ICS), the Internet of Medical Things (IoMT), and other connected assets that span enterprise IT and operational environments.

Today, one of the greatest challenges that cyber defenders face is analyzing detection hits from indicator feeds, which provide metadata about specific indicators of compromise (IOCs), like IP addresses, ASNs, domains, URLs, and hashes. While indicator feeds have proliferated across the threat intelligence industry, most feeds contain no contextual information about why an indicator was placed on the feed.

Security and attacks continues to be a very active environment, and the visibility that Cloudflare Radar provides on this dynamic landscape has evolved and expanded over time. To that end, during 2023’s Security Week, we launched our URL Scanner, which enables users to safely scan any URL to determine if it is safe to view or interact with.