Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Keyscaler vs Traditional PKI Comparison: Which Is Better for IoT Security?

Traditional Public Key Infrastructure represents the established approach to certificate management that has evolved over three decades to support enterprise IT environments. Built on hierarchical certificate authorities (CAs) and manual or semi-automated processes, traditional PKI was designed for relatively static environments with manageable numbers of certificates and predictable lifecycle patterns.

Beginner Tips for Designing User-Friendly Pharma Apps

When building a digital health tool, primarily throughonline pharmacy application development, user experience (UX) is crucial. A confusing app can lead to critical errors or frustration for patients, pharmacists, and doctors alike. Poor design erodes trust and efficiency, with serious consequences in healthcare. Therefore, meticulous application development for pharma is vital to ensure every interaction is clear, comforting, and reliable.

Telemetry: What It Is and How it Enables Security

If you have ever built a LEGO set, then you have a general idea of how telemetry works. Telemetry starts with individual data points, just like your LEGO build starts with a box of bricks. In complex IT environments, your security telemetry is spread across different technologies and monitoring tools, just like in a large build your LEGO bricks come separated into smaller, individually numbered bags. In both cases, the individual bricks or data points aren’t special.

Cato CTRL Threat Research: Uncovering Nytheon AI - A New Platform of Uncensored LLMs

With the introduction of WormGPT in 2023, threat actors have been using uncensored large language models (LLMs) for malicious activities. Following the shutdown of WormGPT in the same year, numerous alternatives have emerged—including BlackHatGPT, FraudGPT, and GhostGPT, among others—primarily accessible through Telegram channels.

AI-automated Fuzzing Uncovers Two More Vulnerabilities in wolfSSL

Daniel Pouzzner from wolfSSL has challenged us to find 3 more vulnerabilities in the wolfSSL library, after we found the first one in October 2024. We weren't quite able to find three, but here are the additional two that we found: Both vulnerabilities were fixed in wolfSSL version 5.8.0, released on 24 April 2025. The fuzz tests that found these vulnerabilities were generated by our AI Test Agent.

Security Debt in Government Software: The Hidden Risk You Can't Ignore

When we think about software security risks, we often focus on immediate threats—new vulnerabilities discovered in the latest release or zero-day exploits making headlines. But beneath the surface lies a more insidious problem, especially in the public sector: security debt. This hidden risk accumulates quietly, but its impact can be severe, eroding the integrity, resilience, and trustworthiness of government software systems.

PCI 6.4.3 and 11.6.1: The Complete Guide to Stop E-Skimming

PCI 6.4.3 and 11.6.1 are critical requirements for protecting payment pages from JavaScript-based attacks in e-commerce. JavaScript powers modern e-commerce but also exposes sites to digital skimming attacks. Common threats include supply chain compromises, Magecart injections, and CDN breaches. To combat this, PCI DSS 4.0 mandates script management and tamper detection. Protecting your payment pages with real-time monitoring tools and client-side security is essential for compliance and customer trust.

The EU AI Act: What MSPs Need to Know ?

The EU AI Act is the most comprehensive law in the world to regulate artificial intelligence. This law doesn’t just apply to organizations inside the European Union, it also affects anyone doing business with the EU or offering AI-powered services in that market. If you use AI tools like ChatGPT, Copilot, Jasper, or Bard for automation, reporting, or client communication, yes, then definitely this applies to you.

Build Fast, Stay Secure: Guardrails for AI Coding Assistants

AI coding assistants like GitHub Copilot and Google Gemini Code Assist are changing how developers work — accelerating delivery, removing repetition, and giving teams back time to build. But speed isn’t free. Studies show that around 27% of AI-generated code contains vulnerabilities, not because the tools are broken, but because they generate code faster than most teams can review it. The result? A growing wave of insecure code is making it into production.