AI
Cybersecurity statistics about ai
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AI now pulls indicators of compromise (IOCs) in as quickly as 10 seconds.
AI can automate 70% of all incident investigations and threat remediation activity.
95% of AI applications are at medium or high risk for EU GDPR violation.
Data uploaded to AI applications is up 80%.
Prompts specifying a need for security or requesting OWASP best practices produced more secure results, yet still yielded some code vulnerabilities for 5 out of the 7 LLMs tested.
Only 22% of all AI applications are in adherence to one or more compliance certifications such as HIPAA, PCI, ISO, FISMA, and FedRAMP.
AI now pulls indicators of compromise (IOCs) in as quickly as 10 seconds.
Microsoft Copilot is used by 82% of all Skyhigh Security customers within their enterprise. This is up from 18% last year for Microsoft Copilot usage by Skyhigh Security customers. Within the same timeframe, traffic to Microsoft Copilot increased 3,600x and data uploads to Microsoft Copilot increased 6,000x.
Less than 10% of enterprises have implemented data protection policies and controls for AI applications.
Claude 3.7 Sonnet scored 6/10 secure code result using naive prompts.
Enterprises use a staggering 320 AI cloud applications on average.
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.
Claude 3.7 Sonnet scored 10/10 with security-focused prompts.
With naive prompts, ChatGPT scored a 1.5/10 secure code result.
84% of AI applications don’t support ‘Data Encryption at Rest’.
Only 23% of organizations surveyed have implemented comprehensive AI security policies.
Of the 2,869 security issues analysed in Agentic AI projects, the majority were API-related (65%).
49% have long-term roadmaps for automation.
Only 15% of organizations deployed their most recent automation in under a month.