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Summary is AI-generated, newsdesk-reviewed
  • AI-driven threats and regulatory pressures will reshape the cybersecurity landscape in 2026.
  • Crypto-ransomware declines; attackers prioritize data theft and extortion to bypass recovery strategies.
  • ZTNA tools rise as traditional VPNs falter, addressing vulnerabilities and credential theft challenges.

WatchGuard has disclosed its six key cybersecurity predictions for the year 2026, highlighting the transformative effects of artificial intelligence (AI)-driven threats, increasing regulatory demands, and the obsolescence of outdated security measures.

Corey Nachreiner, Chief Security Officer at WatchGuard Technologies, stresses the necessity for organizations to brace themselves for quick changes in attack techniques and defense mechanisms.

Crypto-Ransomware Evolution

By 2026, traditional crypto-ransomware is expected to fade away as cyber attackers shift focus from encryption to data theft and extortion. Advancements in data backup and recovery capabilities now allow organizations to recuperate from ransomware incidents without succumbing to extortion demands.

Consequently, cybercriminals will resort to stealing data, using threats of public exposure or reports to regulatory bodies to apply pressure. Encryption’s value diminishes as the threat now lies in the potential for data exposure.

AI-Powered Defense for Open-Source Repositories

Open-source repositories are projected to implement AI-driven security solutions to counter increasing supply chain

The security vulnerabilities faced by open-source package repositories like NPM and PyPI have highlighted the escalating threat landscape. Traditional security measures are no longer effective. In response, open-source repositories are projected to implement AI-driven security solutions to counter increasing supply chain attacks by 2026. 

These automated systems will allow real-time detection and response, positioning these repositories to better defend against persistent threats.

Impact of the EU Cyber Resilience Act

The enactment of the EU Cyber Resilience Act (CRA) in 2026 is anticipated to dramatically influence secure-by-design adoption. Beginning in September 2026, software providers to the EU must report exploited vulnerabilities and security incidents within 24 hours.

This aggressive timeline is expected to initially cause disruption as companies adjust, revealing more security gaps. However, it will also incentivize embedding security features during product development to comply with growing, sometimes conflicting, global regulations.

AI's Role in Cyber Breaches

For effective defense, organizations must employ AI-driven tools mirroring the velocity of such advanced threats

2026 will witness a pivotal moment as AI tools move from assisting cybercriminals to executing attacks independently. Following a 2025 prediction by WatchGuard, AI tools will complete entire cyberattacks autonomously. From scanning for vulnerabilities to executing data exfiltration, AI systems operate at speeds that challenge current defense methods.

The emergence of an AI-executed breach will alert security experts to the rapid development of AI from supportive tools to independent operators. For effective defense, organizations must employ AI-driven tools mirroring the velocity of such advanced threats.

Shift from VPNs to ZTNA

Legacy Virtual Private Networks (VPNs) and remote access tools face heightened risk as attackers exploit credential weaknesses and lack of multi-factor authentication. In 2026, a projected third of breaches will arise from VPN and remote access misconfigurations. The reliance on secure VPNs is minimized if attackers can masquerade as authorized users.

This risk is prompting small and medium-sized businesses (SMBs) to adopt Zero Trust Network Access (ZTNA) solutions, which eliminate exposure of vulnerable VPN ports and tailor user access to essential services, minimizing potential breaches and damage.

AI Proficiency as a Cybersecurity Necessity

As cyber offense and defense increasingly occur on an AI-powered stage, understanding AI will become critical for cybersecurity professionals. Automated, adaptive, and self-learning tools are already in use by attackers. To counter these threats, security experts need to master AI technology, utilizing it to automate responses and foresee emerging vulnerabilities.

By the following year, AI proficiency will become a required asset, with employers seeking professionals capable of leveraging AI effectively within cybersecurity operations.

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