Cybersecurity in 2026

Finally it’s a new year and tech is on a decline. We are going back to the old ways of doing things. Removing technology from our vehicles, home appliances, and life.

That’s not the case. People wish it was because they barely knew how to operate in the old way of doing things how are they going to survive in this interconnected, tech fueled, AI infused present.

This isn’t an article fear mongering how everything sucks because tech is included in everything, this is the article that going to tell what you need to learn before your preteen gets an AI girlfriend sending them nudes (and no we aren’t talking circuit boards). Not to mention fear stoking may help some folks amass power, but it doesn’t feed families. So lets talk about what skills you’ll need to keep up and what to expect in 2026 in cybersecurity.

1. Human Augmentation is Here to Stay; So How you secure your Data Matters
   I’ve heard countless people say they don’t use AI because of the threat to artist based industries, which hasn’t happened. Lazy people who do slow/shit work will be replaced with AI, but people who learn to use LLMs to augment their work will be in demand. For this to be an opportunity that we all take advantage of you’ll need to master the skill of AI Fluency. AI Fluency refers to a humans ability to incorporate LLMs into their workflow. The more fluent one becomes the more seamless that integration appears as well as increased output and quality. If you’re interested in learning AI Fluency check Anthropic’s free course offer.

   
   The challenge for the industry is figuring out how to secure their data against the growing dangers of shadow AI. Shadow AI is what we call it when members of an organization use LLMs and AI agents without approval giving AI agent a backdoor into the company’s data. Shadow AI allows threat actors new avenues to preform data exfiltration
   
   Organizations will have to develop a strong foundations of data protection even during their small business and start up phase in order to protect their data from theft and breach.
   

2. Malware and Data Theft have Evolved in Information Stealers

   In the 2025 Verizon Data Breach Investigation Report attributes 80% of the credentials used by Threat Actors to be collected by Information Stealers. Information Stealers refer to a new type of malware that aims to monetize the data stolen from individuals and organizations by ransoming the data for sale
   
   Data Stealers or Information stealers have been covered abundantly by popular cybersecurity blogs like The Hacker News(THN), recent articles tell the tale of clever attackers leveraging information stealers delivered through SEO poisoning and other social engineering techniques like calendar based phishing making use of .ics files (files that add events to your digital calendars).
   
   Those affected may find their credentials on the dark web for sale. This technique makes attribution to a specific threat group a bit more difficult by spreading the credentials threat actors sew seeds of doubt as to who could have used them during future attempt to attack organizations. Organizations and individuals not making use of MFA are more at risk of stolen credentials granting access to private resources.
   

3. Cloud,SaaS Tool, and Subscription Models
   SaaS tools hosted in the cloud are a continued trend in our industry they are usually accompanied by the subscription business model that keeps the user paying for usage. This business model is becoming so popular in tech that as technology continues to be infused with more traditional industries the subscription model is seemingly following right behind. Car companies aren’t just selling machines they also charge monthly fees for various types of services. Gaming companies no longer just sell you a console and a disc for the game; DLCs are locked behind monthly subscriptions.
   
   Who is actually keeping track of all of the pay to play tools that professionals are using? Organizations who want to protect their customers data, team members privacy, and finances will have to take steps to track tooling for SaaS products and manage security configurations for a variety of externally hosted tools.

   
   What Do We Do?

   Tech isn’t slowing down, and neither are the risks. In 2026, the real divide won’t be “tech people vs non-tech people”—it’ll be the people who can operate safely inside a digital world, and the people who can’t.

   AI is becoming normal in classrooms, workplaces, and homes, whether we like it or not. That means AI fluency is a life skill, but so is knowing what not to feed an AI tool—because shadow AI is quietly turning convenience into exposure. At the same time, modern malware isn’t just trying to break your computer anymore; information stealers are built to harvest identities, hijack logins, and turn your accounts into a revenue stream. And because nearly everything is cloud-based now—from email to payroll to car features—your security isn’t just about your laptop. It’s about your subscriptions, your SaaS stack, your settings, and your habits.

   So here’s the mission: build strong data protection foundations early, track the tools you use, lock down accounts with MFA, and treat AI like a powerful assistant—not a confessional booth. The future isn’t “going back to the old ways.” The future is learning how to move forward without getting played.