Just 24% of organizations practice continuous data labeling.

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

77% of companies are moderately ready for AI.

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.

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

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

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

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.

Threat actors have generated more than 17,000 AI-written GitBook phishing pages specifically targeting crypto users.

LLM model returned the correct URL for brands two-thirds (66%) of the time.

29% of the suggested incorrect domains given by an LLM in return to a query were unregistered, parked, or had no active content, leaving them vulnerable to takeover by malicious actors

Out of 131 hostnames provided by the LLM in response to natural language queries for 50 brands, a significant 34% were not controlled by the brands at all.

5% of the suggested incorrect domains given by an LLM in return to a query pointed users to completely unrelated, albeit legitimate, businesses

59% of consumers are uncomfortable with their data being used to train AI systems.

In a sophisticated campaign to poison AI coding assistants, Netcraft uncovered an effort where an attacker promoted a fake API. At least five victims were found to have copied this malicious code into their own public projects, some of which showed signs of being built using AI coding tools.

Over half (52%) of respondents are prioritising AI security investments over other security needs.

Some companies are already adopting more than 100 AI applications.

Fewer than 20% of AI apps are visible and controlled within enterprises.