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Introduction: The New Battlefield of Cybersecurity
The first half of 2026 has revealed a major shift in the cybersecurity landscape. Attackers are no longer focused only on discovering new vulnerabilities or creating completely unknown malware families. Instead, they are becoming more efficient by combining proven techniques with emerging technologies, especially artificial intelligence, automation, and human manipulation.
Cybercriminal groups are adapting faster than ever before. They are taking familiar attack methods such as phishing, ransomware, credential theft, and social engineering, then redesigning them for modern platforms, cloud environments, AI systems, and changing user habits.
According to ESET’s H1 2026 Threat Report, artificial intelligence has become one of the most important developments influencing both attackers and defenders. AI is expanding the capabilities of cybercriminals, helping them create more adaptive malware, automate campaigns, and exploit trust-based weaknesses at a much larger scale.
The report highlights a growing reality: the future of cybercrime will not only be about stronger malware. It will be about smarter attacks that understand users, environments, and security defenses.
Attackers Are Becoming More Efficient, Not Necessarily More Original
The Evolution of Existing Cyber Threats
The cybersecurity world in 2026 demonstrates an important pattern: attackers do not always need revolutionary ideas. Many successful campaigns are built on technologies and strategies that already exist.
Instead of inventing completely new attack methods, threat actors are improving their execution. They are taking older techniques and modifying them for modern environments.
For example, phishing remains one of the most successful attack methods, but criminals are now combining it with QR codes, AI-generated content, cloud authentication abuse, and fake technical support pages.
This approach allows attackers to maximize their return while reducing development costs. Cybercrime has become an industrial operation where efficiency matters as much as technical innovation.
Artificial Intelligence Becomes a New Attack Surface
Thousands of Malicious AI Skills Discovered
One of the most significant findings from ESET’s research is the rapid growth of AI-based components known as “AI skills.”
AI skills are small functional modules designed to extend the capabilities of AI agents. They allow autonomous systems to perform tasks, connect with external services, analyze information, and interact with digital environments.
However, as this ecosystem expands, so does the opportunity for abuse.
During the first half of 2026, ESET analyzed nearly 900,000 AI skills and discovered tens of thousands of suspicious components, including thousands identified as malicious.
This represents a new cybersecurity challenge. Traditional security tools were designed to analyze applications, files, and network traffic. They were not originally created to monitor autonomous AI components that can make decisions and execute actions.
The growing AI ecosystem creates a new battlefield where attackers can hide malicious behavior inside seemingly useful automation tools.
AI-Powered Malware: The Beginning of Adaptive Threats
PromptSpy Shows How Malware Could Evolve
A major development in 2026 was the discovery of PromptSpy, described as the first known Android malware to integrate generative AI into its execution process.
Unlike traditional malware that depends heavily on fixed instructions and predefined behaviors, PromptSpy uses artificial intelligence to interpret its environment.
The malware uses Google’s Gemini AI technology to analyze user interface elements and adapt its behavior across different devices.
This represents a significant change in malware design.
Traditional malware often fails when developers change application layouts, operating systems, or security controls. AI-powered malware could potentially adjust automatically, allowing attackers to create more flexible and resilient threats.
However, widespread adoption of AI-powered malware is still limited. Modern large language models include safety protections designed to prevent malicious use, creating additional barriers for attackers.
Nevertheless, PromptSpy demonstrates what future cyber threats could become: adaptive, intelligent, and capable of responding dynamically.
Trust Becomes the Most Valuable Target
Cybercriminals Attack Human Confidence
Technology alone is not the only battlefield. Human trust remains one of the strongest weapons available to attackers.
ESET’s research shows that cybercriminals increasingly focus on psychological manipulation rather than purely technical exploitation.
Attackers understand that even the strongest security systems can fail when users are convinced to approve malicious actions themselves.
This is why social engineering continues to grow.
Instead of breaking through security controls, attackers often convince victims to open a document, scan a QR code, install a browser extension, or approve a fake authentication request.
The human element remains the weakest link in many cybersecurity strategies.
ClickFix Attacks Expand Beyond Fake CAPTCHA Pages
Social Engineering Gets an AI Upgrade
ClickFix has become one of the most successful social engineering techniques in recent years.
Originally, attackers used fake CAPTCHA verification pages to trick users into copying and executing malicious commands.
However, in 2026, ClickFix campaigns expanded into new areas.
Attackers began creating fake AI assistance pages, malicious browser extensions, and fake cloud authentication environments designed to appear legitimate.
These pages often imitate popular platforms and convince users that they need to complete a technical step to continue.
ESET reported that ClickFix detections more than doubled between the second half of 2025 and the first half of 2026.
This growth demonstrates how quickly attackers modify successful strategies.
QR Code Phishing Reaches Record Levels
The Rise of Quishing Attacks
QR codes have become a normal part of everyday life. People use them for payments, menus, authentication, advertisements, and information sharing.
Unfortunately, this convenience has created a new opportunity for cybercriminals.
QR code phishing, commonly called “quishing,” has reached record levels according to ESET telemetry.
The strategy is simple but effective:
Attackers place malicious links inside QR codes, hoping victims will scan them using mobile devices.
This technique bypasses traditional security awareness because many users do not inspect QR codes before interacting with them.
The attack also takes advantage of a psychological weakness: people often associate QR codes with trusted services.
As QR technology becomes more common, attackers will likely continue using it as a bridge between physical and digital attacks.
Ransomware Continues Its Evolution
Attackers Focus on Destroying Security Defenses
Despite improvements in cybersecurity defenses, ransomware remains one of the biggest threats facing organizations.
A major trend in 2026 is the continued use of EDR killers.
Endpoint Detection and Response (EDR) platforms are designed to identify suspicious activity and stop attacks. EDR killers are specialized tools created to disable these protections before ransomware deployment.
ESET researchers documented more than 100 EDR killers being used in real-world attacks.
New variants continue to appear as criminals attempt to bypass enterprise security systems.
However, there is also positive progress.
Data from multiple sources indicates that fewer victims are choosing to pay ransomware demands.
This suggests organizations are improving backup strategies, incident response planning, and recovery capabilities.
Deep Analysis: How Defenders Can Prepare for AI-Driven Cyber Threats
Understanding the New Security Reality
The cybersecurity environment of 2026 requires a different defensive mindset.
Organizations can no longer focus only on malware signatures and traditional vulnerabilities.
Modern defense must include AI monitoring, identity protection, behavioral analysis, and continuous user awareness.
Security teams should assume that attackers will increasingly combine automation with human manipulation.
AI Security Monitoring
Organizations should monitor AI systems similarly to how they monitor applications and networks.
Important defensive practices include:
Reviewing installed AI agents and extensions.
Validating AI skill sources before deployment.
Monitoring unusual AI-generated actions.
Restricting AI permissions.
Applying least-privilege access models.
Example Linux commands for auditing suspicious processes:
ps aux --sort=-%cpu | head
Checking active network connections:
netstat -tulpn
Finding recently modified files:
find / -type f -mtime -2 2>/dev/null
Detecting Suspicious Authentication Activity
Because phishing and credential theft remain major threats, organizations should monitor authentication behavior.
Example Windows PowerShell investigation commands:
Get-WinEvent -LogName Security -MaxEvents 100
Checking active user sessions:
query user
Reviewing network connections:
Get-NetTCPConnection
Strengthening Ransomware Defense
Companies should focus on prevention and recovery.
Recommended security measures include:
Offline backups.
Multi-factor authentication.
Endpoint monitoring.
Application control.
Network segmentation.
Regular incident response testing.
Organizations should also prevent attackers from gaining administrative privileges, as ransomware groups often rely on elevated access.
What Undercode Say:
AI Has Changed the Rules of Cyber Warfare
The first half of 2026 proves that cybersecurity has entered a new chapter.
Attackers are no longer simply writing malware.
They are building ecosystems.
AI has become a force multiplier for cybercriminals.
The discovery of malicious AI skills shows that artificial intelligence itself is becoming an attack surface.
The same technology designed to improve productivity can also become a tool for automation, deception, and exploitation.
PromptSpy is especially important because it represents a philosophical change in malware development.
Traditional malware follows instructions.
Future malware may interpret situations.
The difference is enormous.
Adaptive malware could become harder to detect because it may change its behavior depending on the environment.
Security companies will need AI-powered defense systems capable of fighting AI-powered attacks.
The battle between attackers and defenders will increasingly become a battle between intelligent systems.
However, technology alone will not determine the outcome.
Human awareness will remain critical.
The growth of ClickFix and QR phishing proves that attackers continue to exploit psychology.
People trust familiar designs.
People trust convenience.
People trust messages that appear urgent.
Cybercriminals understand this perfectly.
The future of cybersecurity will therefore require both advanced technology and stronger security culture.
Companies must train employees continuously.
Users must become more suspicious of unexpected requests.
Security teams must assume that attackers will combine every available tool.
The decline in ransomware payments is encouraging.
It shows that preparation works.
Organizations that invest in backups, detection, and recovery planning reduce attacker power.
Cybersecurity is no longer only about preventing compromise.
It is about resilience.
The biggest mistake organizations can make is believing that their current defenses are enough.
Threat actors are constantly changing.
Security strategies must change faster.
AI will not eliminate cyber threats.
But organizations that understand AI risks can use the same technology to build stronger defenses.
The future cybersecurity winners will be those who adapt before attackers do.
✅ Artificial intelligence is becoming part of cyberattacks
ESET research confirms that malicious AI components and AI-assisted malware experiments are increasing.
The discovery of PromptSpy demonstrates that attackers are exploring AI integration into malware behavior.
However, fully autonomous AI malware remains uncommon today.
✅ ClickFix and QR phishing campaigns are increasing
Security telemetry shows that attackers are expanding social engineering campaigns through fake pages, QR codes, and authentication scams.
These techniques succeed because they exploit human trust rather than technical weaknesses alone.
✅ Ransomware remains a major threat
Ransomware groups continue using techniques such as EDR disabling tools.
However, fewer organizations appear willing to pay attackers, showing improvements in cybersecurity preparation.
Prediction
(+1) AI-Based Security Will Become a Critical Defense Layer
AI-driven attacks will likely push organizations toward AI-powered cybersecurity systems.
Security platforms will increasingly use machine learning to detect unusual behavior, analyze threats faster, and respond automatically.
The cybersecurity industry will evolve into a competition between offensive AI and defensive AI.
Companies that adopt responsible AI security strategies early will have a significant advantage.
(-1) Attackers Will Continue Exploiting Human Weaknesses
Even with advanced security technology, social engineering will remain one of the biggest risks.
Attackers will continue creating more realistic phishing campaigns, AI-generated scams, and trust-based attacks.
The human factor will remain a major cybersecurity challenge throughout 2026 and beyond.
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References:
Reported By: www.bleepingcomputer.com
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