Only 36% of consumers claimed they were more trusting of news they encounter online, despite the possibility of deepfakes or manipulated content.

46% of Security and IT leaders say managing AI-generated threats is now their top security priority.

More than half (58%) say they’ve seen a surge in AI-powered ransomware. This is up from 41% in 2024 for AI-powered ransomware sightings.

97% of companies that implemented shift left strategies have implemented Shift Left tools.

When asked who should be most responsible for stopping AI-powered fraud, 18% of consumers pointed to Themselves.

91% of Security and IT leaders are recalibrating hybrid cloud risk in the AI era.

75% of consumers are worried about scam emails using AI to trick people into giving away passwords or money.

72% of consumers are worried about being fooled by manipulated social media content.

More than half (55%) of respondents lack confidence in their current cloud security tools’ ability to detect breaches, citing limited visibility as the core issue.

74% of consumers are worried about video and voice deepfakes.

76% of respondents said they would be willing to spent more time compelting comprehensive identity verification processes in healthcare.

83% confirm that deep observability is now being discussed at the board level to better protect hybrid cloud environments.

25% of developers report being overwhelmed by the volume of vulnerabilities.

Assets with both critical and easily exploitable issues were found across all cloud providers.

AWS showed the lowest rate for assets with both critical and easily exploitable issues at 0.02%.

Application Security and DNS Health were the most common weaknesses, with 46.4% of fintech companies scoring lowest in application security.

Technology products and services were linked to 63.9% of third-party breaches. File transfer software and cloud platforms were the most frequent points of compromise within this category.

80% of respondents said they would be willing to spent more time compelting comprehensive identity verification processes in banking and financial services.

One in three organizations report that network data volumes have more than doubled in the past two years due to AI workloads.

Nearly half of all respondents (47%) are seeing a rise in attacks targeting their organization’s large language model (LLM) deployments.