Signs Your Child May Be Experiencing Cyberbullying

Cyberbullying can happen to anyone at any time, and is especially prevalent among young people (affecting around 1 in 5 young people in the UK). Many young people deal with cyberbullying in silence. They may feel ashamed, fear they’ll lose device privileges, or worry that intervention from loved ones might make things worse. That’s why trying to spot the signs early is so important.

AI 2026: A Look Ahead

2026, the perfect time to reflect on how far technology has come and what lies ahead. Without a doubt, Artificial intelligence has gone from a niche to an omnipresent force, reshaping how we work, build, and defend. While organisations have speed-ran the adoption of AI and machine learning, cybercriminals have been just as fast to exploit them, and AI now powers business decisions, customer interactions, and – predictably – cyberattacks.

A New Era for AI Coding? GPT 5.2 vs. Security Vulnerabilities

Can OpenAI’s GPT 5.2 actually build a production-ready, secure application from a single prompt? In this video, we put the latest model to the test by asking it to build a full-stack Node.js note-taking app. We evaluate its dependency choices, dive into a surprising fix for a long-standing CSRF vulnerability, and run a full security audit using Snyk. Is this the new gold standard for AI coding models?

Advancing AI Security: Zenity's Contributions to MITRE ATLAS' First 2026 Update

MITRE ATLAS has become a critical resource for cybersecurity leaders navigating the rapidly evolving world of AI-enabled systems.Traditional threat models are built for human-initiated workflows, APIs, and infrastructure, so they are no longer sufficient to describe modern AI attacks..

Advancing MITRE ATLAS AI Security Through Zenity's Contributions

MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) is a globally recognized AI security framework that catalogs adversarial techniques targeting artificial intelligence systems. Similar in structure to MITRE ATT&CK but purpose-built for AI, machine learning, and agentic systems, ATLAS translates abstract AI risks into concrete, actionable attack techniques that security teams can monitor and mitigate.

Cyber War is Already Here. CISOs Must Prepare for Cyber Conflict

Cyber warfare isn’t coming—it’s already here. This conversation on The Cyber Resilience Brief dives into the Fifth Domain of Warfare—and why nation-state cyber activity should matter to every organization. From Russia’s chaos-driven campaigns to China’s long-game persistence, Iran’s retaliatory attacks, and North Korea’s financial theft—your network isn’t a bystander.

Quantified Cyber Risk Through an ERM Lens in NIST IR 8286 Rev. 1

Lack of data has rarely been a challenge that cybersecurity leaders in the enterprise setting have faced. In fact, cyber risk data is usually in abundance. The obstacle, thus, is instead twofold. Teams must first make sense of all of that information, and leadership must then be able to communicate what it means in a language that supports high-level decision-making. That gap between information and deeper understanding is where many cyber risk programs flounder.

How Shopify and Magento Analytics Drive Better Conversions

In the high-stakes world of digital commerce, the distinction between a thriving storefront and a digital ghost town often boils down to how well you interpret the breadcrumbs your customers leave behind. Platforms like Shopify and Magento provide a treasure trove of raw data, but the real magic happens when you actually start translating those cryptic charts into actionable growth strategies. Have you ever wondered why some visitors vanish the moment they hit your checkout page?

How to Spot a Fake Twitch Viewer and Keep Your Channel Safe

Spotting fake Twitch viewers isn't about protecting your channel, it can also be about figuring out how to avoid getting caught if you're buying viewers. Some streamers learn how to identify fake viewers in order to keep their channels safe, yet these viewers (unless in massive numbers) won't necessarily affect channels. They're simply everywhere. On the other hand, people want to learn how to spot bots in order to buy some and go undetected. Either way, with technological advancements in bots these days, the main thing to pay attention to is unnatural behavior.