Leadership Perspectives

Cyber predictions for 2026

As AI accelerates, identity, truth and trust face their biggest test yet. Here’s what to expect in 2026.
Siggi Stefnisson's photo
Siggi Stefnisson
Cyber Safety Chief Technology Officer
Published
December 8, 2025
Read time
8 Minutes
Cyber predictions for 2026
Written by
Siggi Stefnisson
Cyber Safety Chief Technology Officer
Published
December 8, 2025
Read time
8 Minutes
Cyber predictions for 2026
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    The year the internet will finally outgrow human intuition 

    The internet is entering its most volatile era yet. Technology is evolving faster than people can adapt to it, creating a moment where trust, identity, and truth itself are all up for negotiation. AI has already rewritten the rules of communication, creativity, and crime. In 2026, those shifts will collide. 

    What used to be fringe becomes normal. What used to be obvious becomes ambiguous. And what used to rely on human instinct now demands verification, caution, and a new digital literacy that most people have never been taught. 

    This year’s predictions lay out the reality we’re all walking into: a world where humans must be verified, truth must be authenticated, emotions can be weaponized, identities can be fabricated, and the browser becomes the most contested space on the internet. None of this is theoretical. It is already happening in pieces. In 2026, it will become the norm as AI accelerates. 

    These are the five predictions that will shape the digital world in 2026. 

    1. The year humans need to be verified 

    In 2026, deception will not just live on screens; it will inhabit reality. AI-driven impersonation tools can now clone a person’s face, voice, and writing style in seconds, making it nearly impossible to tell real from fake. Entire synthetic personas such as friends, colleagues, influencers, and even romantic partners will emerge, powered by large language and voice models fine-tuned on scraped data. 

    At the same time, a new force enters the landscape: agentic AI. These systems can act autonomously, make decisions, and initiate tasks without human direction. They can schedule calls, generate emails, negotiate, and execute actions across apps. This means a convincing impostor no longer needs a human behind it. A malicious agent can run an entire playbook on its own. 

    This marks the moment when trust becomes a vulnerability, but not a hopeless one. The same deepfakes once confined to videos now speak, text, and appear in real-time calls. This reality forces society to evolve a new reflex: verify the human, not just the message. The rise of agentic AI makes that reflex even more essential and also more achievable as platforms and security tools build automated verification, provenance checks, and real-time anomaly detection into everyday interactions.

    Tip: Build a simple habit to verify who or what you are communicating with. Pause, then confirm on a second channel. If a call asks for payment, hang up and dial the number on the back of your card. Set a family “safe word” for emergencies. For videos, trust your intuition if eyes blink oddly, audio drifts out of sync, or hands and teeth look strange. When something feels off, stop. 

    2. The AI feedback loop distorts online truth 

    The internet is entering an AI feedback loop. Machine-generated content will be scraped, summarized, and repackaged by other AIs, warping facts and making a lot of information online meaningless. Unfortunately, misinformation will become self-reinforcing. People will lose trust and will need to find ways to double-check or verify everything they read or see online.  
    To meet this need, tech companies, content creators and media will start countering with content signing and authenticity frameworks that act like digital “nutrition labels” for truth, but widespread adoption will lag behind the flood of synthetic data.  

    Tip: Before you trust anything online, apply a simple second-source rule. Look for at least one credible, independent source that confirms the claim. If you cannot find one, pause and rethink before you share or act. For anything finance, safety, or health-related, go to an official source first. Check the company website, government agency page or original publisher rather than reshared content. 

    3. The scam industry evolves into emotional engineering 

    Scams are no longer static scripts; they’re adaptive emotional engines. Using real-time sentiment analysis, AI can read tone, context, and hesitation during chats, reshaping the con in milliseconds. A fraudster no longer just knows your name; they sense your fear, your trust, your mood.  
    This will give rise to “empathic scams” that mirror human empathy to manipulate more deeply than ever before. The next frontier of online safety will require people to not only spot technical red flags but to recognize when they’re being emotionally profiled. 

    Tip: Empathetic scams thrive on feelings first and logic second. When a message sparks fear, urgency, guilt, or even excitement, name the emotion you are feeling. That awareness breaks the illusion of intimacy that AI-powered scammers create. From there, run the message through a trusted scam detector like Norton AI Scam Assistant or Avast Scam Guardian to analyze the tone and intent before you act. 

    4. Synthetic identities and the collapse of digital trust 

    By 2026, synthetic identities will challenge the very foundation of digital verification. AI tools can now generate entire identity kits, complete with realistic IDs, bills, selfies, and even live video or voice samples that can pass most surface-level checks. These forged identities are flooding financial systems, rental listings, job platforms, and marketplaces, making it increasingly difficult to distinguish real from fake. 

    Criminals will exploit this identity collapse to commit large-scale fraud by opening accounts, securing loans, and conducting transactions under fabricated personas. Even more concerning, “identity fusion” attacks will link compromised accounts across connected services such as digital wallets and tax apps, revealing how fragile our interconnected digital lives have become. 

    The response will mark a major shift. Identity will no longer be treated as a static credential but as a living, continuously verified signal. Real-time behavioral validation systems, adaptive verification layers, and government-backed digital ID frameworks will emerge to prioritize ongoing authentication instead of one-time proof. 

    Tip: Until then, individuals should share ID documents only through official websites or apps they have navigated to directly. Avoid uploading credentials through unsolicited links, and enable transaction alerts or credit freezes whenever possible to detect and stop fraudulent activity early.  

    5. The browser becomes the new ground zero for deception 

    By 2026, the browser will no longer be a neutral window into the internet. It will become the primary arena where criminals launch, automate, and scale their attacks. As people rely on a small handful of tabs to shop, bank, work, and communicate, attackers are moving directly into that space and using AI to blend in. 

    Malvertising, search ads, and sponsored posts will evolve from a nuisance to a mainstream threat. AI-generated ads will mimic brand visuals, copywriting styles, and product listings with near-perfect accuracy, allowing attackers to place fake links above legitimate ones. Clicking what appears to be your bank, a package delivery service, or a well-known retailer can now lead to a cloned site designed to harvest credentials or payment information. Entire counterfeit storefronts will be created in seconds, complete with AI-generated product images, scripted chat support, and fake tracking numbers that vanish once payment is processed. 

    Inside the browser itself, malicious scripts, fake update prompts, poisoned pop-ups, and session token theft will quietly replace older tactics that relied on downloads. Malware will increasingly live inside the page. Attackers will steal authentication tokens that keep people logged in, giving them direct access to accounts without ever needing a password. Even cautious users can be fooled when the entire environment around them looks legitimate. 

    Tip: Combine strong browser hygiene with careful shopping habits. Enable passkeys or two-factor authentication for important accounts and regularly review active sessions. Use bookmarks or manually typed addresses for banking and government services instead of clicking ads or sponsored results. When shopping, treat unfamiliar online stores like physical ones. Look for real contact information, clear return policies, and secure payment options. If anything feels vague or automated, run the site through a security product or scam detector before entering payment details. Finally, choose a browser that prioritizes safety and privacy such as Norton Neo, the first AI browser built to be both safe and intelligent.  

    The bottom line: 2026 is the year digital safety becomes personal 

    The threats of 2026 are no longer abstract cyber risks happening “out there.” They are intimate, adaptive, and designed to meet people where they live online – on phones, in inboxes, in search results, and inside the browser tabs we trust most. 

    This is the year everyday people must build new reflexes. 
    This is the year organizations must rethink identity and authenticity. 
    This is the year technology companies must prioritize verification, not convenience. 
    And this is the year society must finally accept that safety is a shared responsibility. 

    The good news: awareness is power. These predictions aren’t just warnings; they are a roadmap. They show where attackers are headed and where defenses must evolve. With the right habits, tools, and skepticism, individuals can stay ahead of even the most sophisticated AI-driven threats. 

    Because while technology may be changing faster than ever, one truth remains: the more people understand the landscape, the harder it becomes for cybercriminals to win. 

    Siggi Stefnisson
    Cyber Safety Chief Technology Officer
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