Client-Server Technology Group, Inc.

09/04/2026

🚨 Hit by a cyberattack? What you do in the first hour matters most.

Quick emergency response steps:
1️⃣ Disconnect affected devices from Wi-Fi & Ethernet (don't power off!).
2️⃣ Call your IT team & insurer by phone—not email.
3️⃣ Preserve all evidence and ransom notes.
4️⃣ Wired funds? Call your bank immediately and report to law enforcement.
5️⃣ Reset credentials & enforce MFA from a clean device.

Read the full step-by-step incident plan:

The first hour after a cyberattack matters most. Here's the step-by-step plan: disconnect devices, call your IT provider, preserve evidence, and where to report it.

09/02/2026

🔒 Before you log in, check your address bar!

Always look for the padlock icon and https:// at the start of the URL. That simple check ensures your connection is encrypted and helps protect your passwords and payment info from online scams.

Watch the full tip from Client-Server Technology Group:

Before you log into any website, check the address bar for a padlock icon and 'https://'. No padlock or a browser warning? Stop before entering your password or payment info.

09/01/2026

One of the questions I hear more and more often is: "Can I trust AI to tell me whether something is a scam?" 🤔

Until recently, I'd have been cautious about that.

AI is brilliant at explaining things, but when it comes to cybersecurity, being almost right isn't good enough.

That's why I think this latest development is interesting.

Norton has integrated its Genie scam detection tool into both Claude and ChatGPT.

It means people can ask an AI assistant to help assess whether an email, text message, website or online offer looks suspicious 👀

The AI isn't giving its own opinion — it’s drawing on Norton's scam detection technology, which looks for things like impersonation, pressure tactics, suspicious links, and requests for sensitive information.

It's combining the conversational side of AI with technology that's specifically designed to identify scams 🔎

But I don't think people should stop thinking for themselves.

If an email claims your bank account is about to be closed or a supplier suddenly wants you to change their payment details, you should still check independently.

Tools like this could become useful as a second opinion though.

Online scams are becoming much harder to spot than they were a few years ago.

Criminals are using AI to write more convincing emails, create more believable websites, and remove the spelling mistakes that used to give them away 🤖

Anything that helps people pause and sense-check what they're looking at must be a positive step.

I can also see this becoming part of everyday working life.

Instead of forwarding a suspicious email to a colleague and asking, "Does this look right to you?", people may increasingly ask an AI assistant first.

It should never replace security awareness or good internal processes.

But it could help you make better decisions before you click a link or reply to a message.

👉 Would you trust an AI assistant to help you decide whether something was a scam, or would you still rather rely on your own judgment?

08/31/2026

When cybercriminals turn on each other, don’t mistake rival group infighting or recovery promises for an opportunity. The only thing you can count on is that they'll look after their own interests.

True ransomware resilience comes down to tested backups, early threat detection, and an incident response plan built before a crisis hits.

Video – https://cstg.com/tech-update-video-theres-only-one-thing-you-can-rely-on-cybercriminals-for/

It might sound like good news when cybercriminals turn on each other. But it doesn’t make things safer. Some are offering to “help” victims caught in the middle, which sounds tempting until you think about it properly…

08/30/2026

One reason modern cyberattacks are becoming so difficult to spot is that many of them no longer rely on breaking into systems in the traditional sense 🦹

Instead, attackers are learning how to manipulate normal business processes and get people to unknowingly help them.

Microsoft has warned about a group called Storm-2949 doing exactly that through the password reset process used in Microsoft accounts.

The attack starts with information the criminals have already gathered.

Usually things like a person’s email address and phone number.

They then trigger a password reset request on the victim’s account and, at the same time, place a phone call pretending to be IT support 📞

The victim receives a genuine Microsoft authentication prompt on their device while the caller calmly explains that they need to approve it to “fix” the issue.

That’s what makes this attack convincing.

The notification is real. The system is real.

The attacker is abusing a legitimate process and persuading the person to cooperate.

Once the request is approved, the criminals can reset the password, lock the real user out of the account, and begin accessing company information.

In some reported cases, attackers downloaded huge amounts of data from systems like OneDrive because different employees had access to different folders and shared files 🗂️

MFA stands for Multi-Factor Authentication. It’s the extra security step where you approve a login using your phone, an app, or a code.

It’s still one of the best protections available, but attacks like this show that security tools are only effective if people understand what they’re approving.

Cybersecurity increasingly revolves around trust and human behavior rather than purely technical weaknesses.

People are naturally inclined to cooperate when someone sounds professional, calm, and helpful on the phone.

Especially if a real security prompt appears at the same time ‼️

That’s why you need clear internal processes around password resets, account changes, and unexpected authentication requests.

🤔 If you received a real authentication request while speaking to someone claiming to be support, do you think you’d feel confident spotting whether it was genuine or not?

08/29/2026

One of the things businesses often underestimate about downtime is how quickly it spreads beyond “the IT issue”.

A system goes offline and, within minutes, people can’t access information 😱

Customers start noticing problems, communication slows down, and normal workarounds suddenly become much more difficult than anyone expected.

New research suggests the financial impact of unplanned downtime is growing at a huge rate, with major organizations collectively losing hundreds of billions every year.

It can mean staff sitting idle because systems aren’t available.

Delays to customer service.

Disrupted operations.

Marketing campaigns pausing unexpectedly.

In some situations, it can mean reputational damage that lasts much longer than the outage itself.

The interesting part of the research wasn’t really the size of the numbers, though.

It was the fact that many businesses still struggle to identify what’s causing the disruption in the first place 😵‍💫

In a growing number of cases, security incidents are initially mistaken for ordinary technical faults.

Something seems slow, unstable, or unavailable, so teams treat it as a normal IT problem while an attacker is still actively operating in the background.

That delay can make the eventual impact much worse 😰

At the same time, businesses are becoming more dependent on connected systems, cloud services, and digital workflows than ever before.

When almost every part of the company relies on technology in some way, even relatively short disruptions can create operational problems quickly.

That’s why resilience has become such an important conversation.

Not in the sense of trying to guarantee that nothing will ever go wrong, because that’s unrealistic.

Systems fail, updates cause problems, cyberattacks happen, and unexpected outages will always exist to some degree.

But it is important that you think through what happens next.

Who needs to know first?
How do teams continue operating?
Which systems are critical?
What can still function manually if necessary?

Those conversations are easier to have calmly before a problem happens than during the middle of one.

👉 If a major system outage happened tomorrow morning, would your business have a clear plan for keeping things moving?

08/28/2026

Ready to ditch passwords for good? 🔑

Passkeys use biometrics or PINs to give your business phishing-resistant security that logins in seconds—no typing or reused passwords required.

Here is why your team should make the switch:

Passkeys let you sign in with a fingerprint, face, or PIN instead of a password, and they can't be phished or reused. Here's how they work and how to start rolling them out.

08/26/2026

Drowning in tabs and window clutter? 🖥️

Stop juggling open windows—use Multiple Desktops in Windows to split your work by task, client, or project. Just press Win + Tab to create dedicated workspaces, name them, and keep your focus locked in.

Check out the full guide from CSTG: https://cstg.com/tech-tip-video-too-many-tabs-split-your-work-into-separate-desktops/

Too many tabs? Split your work into separate desktops

Windows lets you create separate virtual desktops for different tasks, so email, projects, and research each get their own clutter-free workspace.

08/26/2026

This is one of the clearest signs that AI is becoming part of mainstream business infrastructure…

Companies are now paying to reserve guaranteed AI capacity in advance.

OpenAI launched an enterprise plan that allows large organizations to lock in long-term access to its computing power 🔐

Specifically, so their AI systems keep running reliably, even during periods of very high demand.

That might sound quite technical, but the idea behind it is simple.

AI tools like ChatGPT rely on enormous amounts of computing power sitting inside data centers.

Every prompt, response, automation, and AI-driven workflow uses a small piece of that infrastructure.

As more businesses adopt AI, demand for that computing power keeps increasing 😰

The result is that AI availability is starting to matter in the same way internet uptime or cloud reliability matters.

A couple of years ago, most businesses treated AI as something experimental 🧫

People used it occasionally to write content, summarize notes, or brainstorm ideas.

Now some organizations are building AI directly into customer service, reporting, operations, workflows, and internal automation.

In those environments, even short outages become much more significant.

That’s why this announcement feels important to me.

It shows AI is moving towards being treated more like core infrastructure.

Businesses are no longer asking: “Can AI help us?”

They’re starting to ask: “What happens if our AI systems become unavailable?”

What’s also interesting is how much infrastructure sits behind all this.

OpenAI is continuing to build huge new data center capacity to support growing demand, because the scale of AI usage now is difficult to comprehend.

And demand is still accelerating.

I think this is another reminder that AI adoption is moving much faster than many people expected.

💬 Do you think businesses are becoming too dependent on AI, or are we only just scratching the surface of what it’ll eventually become?

08/24/2026

Big updates for Microsoft 365 users! 💻

Copilot Wave 3 is introducing:
🔹 Custom AI Agents to handle repetitive tasks
🔹 Direct document editing right from Copilot chat
🔹 "Work IQ" for personalized, business-specific responses
🔹 Independent AI coworkers for multi-step workflows

Get all the details via Client-Server Technology Group, Inc. https://cstg.com/tech-update-video-heres-whats-new-in-copilot-wave-3/

Copilot Wave 3 has landed and it’s a step up from what we’ve seen before. There’s something new happening in how AI fits into your day-to-day work. It’s useful. But it also changes how things get done behind the scenes…