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AI Security Report 2026 - Check Point Research

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The AI Security Report 2026 by Check Point Research explores the evolving role of AI in cyber security, detailing its transition from an assistant to an operator in cyber attacks, and highlighting key findings on AI's impact on security practices.

  • Year2026
  • EditionAnnual
  • AccessEmail-gated
  • FormatPDF

Description

The AI Security Report 2026 from Check Point Research provides an in-depth analysis of the changing landscape of cyber security, particularly focusing on the role of artificial intelligence. For years, AI was viewed as a force multiplier, enhancing existing attack techniques by making them faster, cheaper, and more accessible. However, this report documents a significant shift: AI has transitioned from being merely an assistant to becoming an active operator in cyber attacks.

The report outlines several key findings that illustrate this transition. AI is no longer just a tool for attackers; it now plays a direct role in executing live intrusions. This includes involvement in espionage campaigns linked to nation-states and breaches affecting multiple government agencies. The report highlights how AI is capable of building deployment-ready malware and attack suites, often without leaving visible traces in the final product. For instance, one developer utilized an AI environment to create an extensive command-and-control framework in less than a week.

Moreover, the report reveals that attackers are increasingly favoring commercial AI models, exploiting their architectures rather than relying solely on single prompts. The emergence of an AI-enabled criminal tooling market is evident, with services like phishing-as-a-service integrating advanced language models to enhance their effectiveness. The report also discusses the growing sophistication of social engineering attacks, where virtual identities can be convincingly forged, complicating trust in digital interactions.

As AI itself becomes an expanding attack surface, the report warns of the vulnerabilities that arise from the interplay of data and instructions processed by AI models. The rise of indirect prompt injection attacks is particularly concerning, with a notable increase in detections of malicious payloads. Furthermore, the report highlights the persistent risk of enterprise data leakage through generative AI, noting that high-risk prompts have doubled over the past year.

In conclusion, the AI Security Report 2026 serves as a crucial resource for understanding the evolving threats posed by AI in the cyber security landscape. It emphasizes the need for organizations to adapt their security practices in response to these emerging challenges, ensuring that they remain vigilant in the face of increasingly sophisticated cyber threats.

Highlights

  • Publisher: Check Point Research

  • Published Year: 2026

  • Report Type: Annual Security Report

  • Data Sources: Cyber security incidents, AI usage patterns

  • Frequency: Annual

Use It For

  • Cyber Attack Analysis
  • Security Practice Improvement
  • Risk Assessment
  • Incident Response Planning
  • Training and Awareness

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