The malware world changed dramatically throughout 2025. Ransomware attacks jumped 32 percent compared to 2024, and hackers developed new attack methods that will shape cybersecurity challenges in 2026. Looking at last year’s campaigns shows several important trends that organizations need to address in their 2026 security plans.

Ransomware Gets Bigger

What Happened in 2025: Throughout 2025, ransomware attacks reached record levels. Groups like Qilin, Akira, and INC led the way, with Qilin launching over 1,000 attacks and Akira hitting 765 targets. These operations used double-extortion tactics—stealing data and encrypting systems—while targeting healthcare, manufacturing, and government organizations.

What This Means for 2026: Security experts predict ransomware will fundamentally change how it operates. AI will transform ransomware into automated operations that can scan systems, break in, and demand payment with little human involvement. AI agents will be capable of sending 10,000 personalized phishing emails per second, creating hacking tools instantly, and spreading ransomware across thousands of computers in under a minute.

Organizations should prepare for a shift from carefully planned, high-value attacks to automated mass campaigns. AI will let attackers automate the entire attack process, transforming ransomware from an expensive operation into a cheap, high-volume threat. This makes previously unprofitable targets—like small and medium businesses—worth attacking.

Browser Extension Crisis

What Happened in 2025: The ShadyPanda campaign exposed major weaknesses in how we trust software. This attacker built up over 4.3 million installations of Chrome and Edge browser extensions over seven years, then turned them malicious through updates. The compromised extensions run hidden code every hour, downloading and executing commands with full access to your browser while monitoring your web activity and stealing your browsing history.

What This Means for 2026: Supply chain attacks will expand beyond browser extensions. Attackers will weaponize the network of trusted connections between cloud platforms, creating attacks that jump across Microsoft 365, Google Workspace, Slack, and Salesforce. These attacks will bypass traditional security by exploiting legitimate trust relationships rather than hacking through firewalls. Organizations must strictly control which apps can connect to their systems and watch for unusual behavior.

AI Malware: From Tests to Real Attacks

What Happened in 2025: 2025 marked the first time AI-powered malware was actually used in real attacks. Google’s security team found two groundbreaking examples: PROMPTFLUX talks to Google’s Gemini AI to rewrite its own code periodically to avoid detection, while PROMPTSTEAL (used by Russian military hackers against Ukraine) uses AI language models to create new commands on the fly instead of having them pre-programmed.

What This Means for 2026: While some predictions about AI malware are exaggerated, the reality is concerning. Criminals will use AI tools to speed up malware development, improve disguises, or create constantly changing variants on demand. However, cybersecurity teams will be slower to trust and use AI automation, creating a dangerous gap where attackers have better tools than defenders.

Organizations should expect AI to make hacking easier and faster. Traditional virus detection that looks for known patterns will become increasingly useless against constantly changing, AI-generated code. Defense strategies must focus on spotting suspicious behavior and unusual activity, regardless of what the specific code looks like.

Messaging Apps Become Attack Channels

What Happened in 2025: The Boto Cor-de-Rosa campaign showed how attackers weaponize communication platforms we trust. The malware uses WhatsApp Web to steal victims’ contact lists and automatically sends malicious messages to each contact. Active since at least September 2025, the campaign sends ZIP files containing scripts that steal WhatsApp data and install banking malware.

What This Means for 2026: Messaging platforms, collaboration tools, and social networks will face more attacks as distribution channels. The success of spreading through trusted contacts shows how attackers bypass email security. Organizations should filter messages, restrict file-sharing features, and train users to spot scams through non-email channels.

The Changing Ransomware Business

What Happened in 2025: 2025 revealed major shifts in how ransomware makes money. Publicly reported attacks rose to 7,200 in 2025 compared to 4,900 in 2024—a 47% increase—yet individual operations made less profit. This financial pressure is forcing attackers to change tactics.

What This Means for 2026: Expect ransomware operators to offer more services and find new ways to make money. With lower earnings, ransomware-as-a-service operations must offer more value to attract partners, with bundled attack services becoming increasingly common. Organizations should strengthen insider threat programs, as private reports show recruitment attempts increased significantly throughout 2025.

Additionally, the ransomware world will consolidate as dominant gangs compete for high-value victims using advanced features and multiple extortion methods. Some operations may blend criminal profit with state interests, making it harder to identify who’s attacking and why.

How to Defend Against 2026 Threats

Based on how threats evolved in 2025, organizations should focus on several key defenses:

  1. Speed Up AI-Powered Security Adoption: Security updates must evolve from scheduled maintenance windows to continuous deployment for serious vulnerabilities, as attackers are using AI to dramatically shorten the time between a security flaw being announced and an attack happening. Organizations that wait to use AI-powered security tools risk falling further behind attackers who are already using these capabilities.
  2. Implement Zero-Trust Security: The growing sophistication of credential theft and authorization abuse makes perimeter-based security outdated. Organizations need to refocus on security fundamentals: giving each user only the minimum access they need, reducing ways attackers can get in, and keeping systems patched. Every access request should be verified, regardless of where it comes from or past trust.
  3. Add Better Behavior Detection: Traditional virus scanners that look for known threats won’t work against AI-generated, constantly changing malware. Organizations must use security tools that can identify suspicious behavior patterns, unusual data transfers, and strange communications independent of specific malware signatures.
  4. Strengthen Supply Chain Security: The browser extension compromise and predicted app-to-app attacks show the critical importance of managing third-party risk. Organizations should carefully vet software integrations, monitor connected apps for suspicious activity, and be ready to quickly revoke access when threats appear.
  5. Prepare for Automated Attacks: AI is increasingly used to speed up and automate ransomware attacks, making them harder to respond to and stop, enabling more realistic phishing emails, helping to compromise systems faster, and driving quicker data theft and encryption. Defense strategies must account for attacks measured in minutes rather than days, requiring automated response capabilities and pre-established plans for rapid containment.

Looking Ahead

Defense recommendations against packed malwareThe malware trends from 2025 point toward a 2026 defined by automation, speed, and scale. Ransomware is evolving beyond opportunistic attacks toward targeted disruptions designed to maximize damage to operations and business, while AI technologies enable attackers to operate at machine speed with unprecedented efficiency.

Organizations that treat 2026 security planning as just an extension of traditional defenses will find themselves outpaced by adversaries using automated attack tools. Success will require embracing AI-powered defensive technologies, implementing zero-trust architectures, and maintaining the flexibility to adapt as threats continue to evolve rapidly.

The combination of AI, automation, and sophisticated social engineering represents not just a small increase in threat sophistication, but a fundamental shift in how cyber attacks work. Organizations that recognize and prepare for this transformation now will be best positioned to defend against the automated, adaptive, and high-volume threats that will define 2026’s security landscape.