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Google Cloud

Cybersecurity reports and statistics published by Google Cloud

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Recent Statistics & Reports

The most common cross-industry applications for AI agents reported in the study include security operations and cybersecurity (46%).

40% of agentic AI early adopters saw a good return on strengthening security operations, compared to only 30% of average users.

When choosing Large Language Model (LLM) providers, executives' top concern is now privacy and security.

Data privacy and security are among the top three LLM provider considerations for 37% of respondents, followed by integration with existing systems and cost.

Data privacy and security are among the top three LLM provider considerations for 37% of respondents, followed by integration with existing systems and cost.

More than 80% of organisations already use threat intelligence or are planning to across eight major use-cases.

59% of IT and cybersecurity leaders say it being difficult to verify the validity and/or relevance of threats is a challenge in actioning threat intelligence.

37% of IT and cybersecurity leaders say stale information is a challenge in actioning threat intelligence.

86% of IT and cybersecurity leaders agreed that they "must" use AI to improve their ability to operationalise threat intelligence.

Providing actionable recommendations and next steps to uplevel junior analysts was cited by 63% of IT and cybersecurity leaders as a benefit of using AI in threat intelligence.

Simplifying the process of searching and querying data for relevant information was cited by 53% of IT and cybersecurity leaders as a benefit of using AI in threat intelligence.

Enhancing trust in the threat intelligence vendor's capabilities to gather new sources of information was cited by 47% of IT and cybersecurity leaders as a benefit of using AI in threat intelligence.

49% of IT and cybersecurity leaders say the difficulty in determining which intelligence applies is a challenge in actioning threat intelligence.

61% of IT and cybersecurity leaders say too many feeds is a challenge in actioning threat intelligence.

60% of IT and cybersecurity leaders say too few analysts is a challenge in actioning threat intelligence.

82% of IT and cybersecurity leaders worry about missing threats due to the volume of alerts and data they are faced with.

Making threat intelligence more accessible to different stakeholders was cited by 68% of IT and cybersecurity leaders as a benefit of using AI in threat intelligence.

Enabling the ability to foccus on higher-priority tasks via time saved was cited by 60% of IT and cybersecurity leaders as a benefit of using AI in threat intelligence.

79% of IT and cybersecurity leaders said that external threat intelligence providers should help "uplevel junior staff or embed a threat intelligence (CTI) analyst" into their team.

80% of IT and cybersecurity leaders said that threat intelligence providers should offer information sources that are both broad and deep.

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