Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

MSP trends 2026: Creating opportunities in a difficult market

If managed service providers (MSPs) are going to grow as 2026 rolls on, they’re going to have to overcome both new and familiar obstacles in a tough environment. But there is good news for MSPs that are ready to adapt their business models to new market realities. A recent report from Omdia, MSP Trends and Predictions 2026, lays out clearly why MSPs are more likely to struggle to grow in 2026 than they have in past years.

The MCP Trojan Horse: AI's Hidden Security Risk

The race to adopt AI agents has created a massive, unmonitored blind spot in the enterprise software supply chain. At the heart of this revolution is the Model Context Protocol (MCP) – an open connectivity standard designed to move AI models (LLMs) out of their passive “chat box” and give them direct active access to your company’s internal systems.

Self Employed and Online? Your Tax Setup Might Be Your Weakest Link

If you're a self-employed individual or online business owner, then the upcoming Make Tax Digital for Income Tax is something that you'll certainly want to prioritise. It's a critical business component to have, and there are a lot of people who are currently in this category of workers and aren't aware that this is coming into fruition. Poor tax planning is now the biggest risk for those who own a business and want to sustain it. Here's why your tax setup might be your weakest link and how to strengthen it before MTD comes into action.

Staying Safe and Connected: The Security Side of Off-Grid Technology

Going off the grid used to mean completely disconnecting. No phone signal, no internet, no way to call for help if something went wrong. For remote workers, overlanders, and anyone venturing into isolated areas, that kind of disconnection wasn't just inconvenient. It was a genuine safety risk.

The Mitnick Method: Why a 15-Year old schoolboy can empty your bank account

Picture this: It’s 3pm on a busy Tuesday. Your phone rings, and the caller ID shows your company's main number. "Hi, this is Jake from IT," says a confident voice. "We're seeing some unusual activity on your account and need to verify your password to secure it. Can you help me out real quick?". Sound familiar? Well, this was the exact technique perfected by a teenager named Kevin Mitnick in 1983, long before the internet, smartphones, or even Windows or Linux existed.

What Is an Endpoint in Cybersecurity and Why Does It Matter

These days, everything is connected to everything else. Endpoints are the most important parts of modern networks because they enable communication and process execution. But what does an endpoint really mean? An endpoint is any device that can join a network. This includes laptops, smartphones, tablets, servers, and even Internet of Things (IoT) devices like smart thermostats and wearable tech.

Cybersecurity Consultants: How They Safeguard Your Business Operations

In the digital world today, cyber risks are increasing, harming business operations, customer trust, and the bottom line. Cyberattacks are changing quickly. Ransomware, hacking, and data breaches are just a few examples of how they hurt businesses financially and publicly. A study published in Cybersecurity Ventures revealed that cybercrime is projected to cost the world $10.5 trillion annually by 2025. This shows how important it is to implement strong security measures.

How to Back Up Milvus Vector Databases on Kubernetes with Trilio

Vector databases are everywhere now. If you are building anything with AI—recommendation engines, semantic search, RAG pipelines—you are probably running a vector database. And if you are running it in production, you are running Milvus on Kubernetes. Here is the problem. Your vector database holds millions of embeddings. Maybe hundreds of millions. Each one represents expensive processing—API calls to OpenAI, inference from your own models, hours of batch jobs.

AI Agents: How Your New Employee Brings More Security Risks

AI agents aren’t applications. They’re employees. So why are we treating them like applications? AI agents don’t behave like classic applications. They access systems. They make decisions. They operate continuously. They interact with humans and other systems without being explicitly triggered each time. That’s not automation. That’s not scripts. That’s a digital worker.