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We've curated 1475 cybersecurity statistics about AI to help you understand how machine learning algorithms, automated threat detection, and AI-driven defenses are shaping the landscape of cybersecurity in 2025.

Showing 1421-1440 of 1475 results

Approximately 19% say they primarily apply AI to security through their own internal data science work

Seemplicity3/1/2025
Internal AI DevelopmentData Science

Approximately 1 in 4 organizations said they’re concerned about how AI use in the enterprise will make them more attackable (AI and generative AI concerns)

Seemplicity3/1/2025
AI RisksAttack Surface

Only 18% use AI to bolster vulnerability remediation workflows

Seemplicity3/1/2025
AI ApplicationVulnerability Remediation

Looking ahead, 70% of organisations will focus on AI/ML data usage governance.

Bedrock Security3/1/2025
Machine learningAI governance

Almost 60% of organisations added new AI data responsibilities in the past year.

Bedrock Security3/1/2025

59% of security professionals now have new AI data discovery responsibilities.

Bedrock Security3/1/2025
AI data discovery

46% of firms say that they’re actively trying to use AI to solve false positive issues

Seemplicity3/1/2025
AI for False PositivesVulnerability Management

77% of security teams cannot ensure AI systems respect proper data access rights.

Bedrock Security3/1/2025
Data access

79% of security teams struggle to classify sensitive data used in AI/ML systems.

Bedrock Security3/1/2025
Machine learningSensitive information

56% cited data protection as a security function where AI will provide the most value in the next 3 years

Seemplicity3/1/2025
AI ValueData Protection

42% cited identity and access management as a security function where AI will provide the most value in the next 3 years

Seemplicity3/1/2025
AI ValueIdentity and Access Management

54% of organizations added AI training data governance duties in the past year.

Bedrock Security3/1/2025
AI Data governance

56% of security teams say the use of AI has become crucial to their team’s operations

Seemplicity3/1/2025
AI ImportanceSecurity Operations

The top three most common security use cases for AI are endpoint security (52%), basic vulnerability scanning (47%), and antivirus/anti-malware (40%)

Seemplicity3/1/2025
AI Use CasesEndpoint Security

Only 21% use AI to automate away configuration management and system hardening

Seemplicity3/1/2025
AI ApplicationConfiguration Management

Among those security departments that do their own custom AI work, 66% report that they have hired their own internal data science staff within their security teams

Seemplicity3/1/2025
Internal Data Science TeamsCustom AI

35% cited reporting as a security function where AI will provide the most value in the next 3 years

Seemplicity3/1/2025
AI ValueReporting

Nearly a third of respondents reported that their team spends at least four hours per week training AI models within their own tools or within commercially available AI functionality

Seemplicity3/1/2025
AI TrainingTime Investment

100% of those who said their AI is very beneficial and a vital part of their security program have internal data science staff members

Seemplicity3/1/2025
AI BenefitsInternal Data Science

86% of security teams today utilize some type of AI within their security tool stack

Seemplicity3/1/2025
AI AdoptionCybersecurity Tools