Data uploaded to AI applications is up 80%.

94% of all AI services are at risk for at least one of the top Large Language Model (LLM) risk vectors, including prompt injection/jailbreak, malware generation, toxicity, and bias.

11% of files uploaded to AI applications include sensitive corporate content.

In the UK, security risks associated with third-party suppliers have surged by "more than ten percentage points" as a top concern, largely driven by the integration of third-party AI solutions

Only 23% of organizations surveyed have implemented comprehensive AI security policies.

Over 700 issues in Agentic AI repositories remain unaddressed.

60% of top vulnerabilities found in Agentic AIwere access control-related

Claude 3.7 Sonnet scored 10/10 with security-focused prompts.

Claude 3.7 Sonnet scored 6/10 secure code result using naive prompts.

AI can automate 70% of all incident investigations and threat remediation activity.

Skyhigh Security research reveals a 200% increase in AI application traffic within the last year. This compares to a 23% increase in traffic to non-AI applications.

With naive prompts, ChatGPT scored a 1.5/10 secure code result.

25% of reported security issues in Agentic AI remain open.

AI now pulls indicators of compromise (IOCs) in as quickly as 10 seconds.

In January 2025, Skyhigh Security recorded DeepSeek usage by 43% of customers.

Skyhigh Security research reveals a 200% increase in AI application traffic within the last year. This compares to a 23% increase in traffic to non-AI applications.

Of the 2,869 security issues analysed in Agentic AI projects, the majority were API-related (65%).

Less than 10% of enterprises have implemented data protection policies and controls for AI applications.

Enterprises use a staggering 320 AI cloud applications on average.

AI now pulls indicators of compromise (IOCs) in as quickly as 10 seconds.