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

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

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.

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

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

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

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

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

80% of enterprise AI tools operate unmanaged.

Some companies are already adopting more than 100 AI applications.

Nearly half (45%) of UK HR professionals are worried about privacy risks related to AI-powered HR tools, which is the highest percentage among all countries surveyed.

34% of healthcare organizations name AI impersonation of users as their top emerging threat.

42% of all survey respondents are concerned about genAI model poisoning or theft.

Over 67% of overall respondents believe AI-driven attacks have increased.

64.1% of Americans are no longer writing cheques.

48% of security leaders believe a “strategic pause” is needed to recalibrate defenses against genAI-driven threats.

51% of respondents consider AI-enhanced social engineering a fairly or extremely significant concern.

The resolution rate for high-severity vulnerabilities found in LLM pentests falls to just 21%.

73.5% of respondents in France are concerned about AI-driven attacks.