23% of organizations identify leveraging AI/ML capabilities for business insights or automation as a main driver behind the use of APIs.

Over half (53%) of organisations are prioritising AI and machine learning tools in their top three priorities to help close capability gaps in cyber talent.

51% of data and IT leaders would shift their AI/ML deployment strategy for better data sovereignty/compliance

53% of data and IT leaders would shift their AI/ML deployment strategy for enhanced security.

More than 60% of data and IT leaders say data security and privacy is their biggest concern when implementing AI/ML.

61% of cybersecurity and IT professionals intend to adopt AI and machine learning (ML) for security within the next 12 months. This adoption rate outpaces general manufacturing by 12 percentage points.

Technologies anticipated to have the greatest impact on cloud security in the next three years: AI and ML-driven security analytics (27%), Open source cloud security tools and technologies (17%), Automated threat intelligence and response (16%).

95% of manufacturers have invested in, or plan to invest in, AI/ML over the next five years.

In attachment-based campaigns, people were most likely to open certain file types: PDFs (53%), HTML files (28.5%), Word files (18.5%).

23% of HTML email attachments are malicious, making them the most weaponized text file type detected. More than three-quarters of the malicious files detected overall were HTML files.

In attachment-based campaigns, people were most likely to open certain file types: PDFs (53%), HTML files (28.5%), Word files (18.5%).