69% of respondents globally believe AI-powered fraud now poses a greater threat to personal security than traditional forms of identity theft.

The top five areas where AI security tools are expected to have the most positive impact on operations in the shortest amount of time, by improving efficiencies and automating time-consuming tasks, are network monitoring and intrusion detection (60%), endpoint protection and response (56%), vulnerability management (50%), threat modeling (45%), and security testing (43%).

Financial services and the public sector currently report the lowest adoption rates of AI tools, at 21% and 16%, respectively.

61% of respondents expect artificial intelligence to dominate SaaS security discussions in the coming year.

Just 24% of organizations practice continuous data labeling.

The average organization uses three AI models.

Low-readiness 9for AI) organizations use AI in less than one-quarter of their apps.

77% of companies are moderately ready for AI.

"Moderately ready for AI" organizations currently have AI present in about one-third of applications.

47% of moderately ready organizations aim to have deployed an AI firewall within a year.

70% of "moderately ready for AI" organizations have generative AI in active use.

Nearly two-thirds of survey respondents (65%) use two or more paid AI models and at least one open-source model.

Only 31% of organizations have deployed AI firewalls.

Only 18% of moderately ready organizations have deployed an AI firewall.

Only 2% of global organizations are highly ready to scale AI securely across operations.

21% of companies have low-readiness for AI.

71% of all respondents already use AI to augment security.

On average, 25% of apps use AI, with "highly ready for AI" organizations typically using AI in a much higher percentage.

39% of CEOs say AI adoption presents a greater risk to the software supply chain.

48% of hotel IT and security executives are not confident in their staff's ability to reliably identify and respond to sophisticated AI-driven cyberattacks and deepfakes.