Darktrace Report Finds AI in 77% of Security Stacks, but Trust Limits Autonomy

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Summary

Darktrace’s 2026 report says generative AI is used in 77% of security stacks, while many security professionals restrict autonomous actions or require human oversight. It also finds strong preference for MSSP-delivered SOC capabilities.

Key points

  • The report says generative AI plays a role in 77% of security stacks; 67% use supervised machine learning and 67% use agentic AI.
  • Security professionals report using natural language processing in 58% of stacks and unsupervised machine learning in 35%.
  • Although 89% say they have good visibility into AI-generated reasoning, 74% limit AI’s autonomous SOC actions until explainability improves.
  • 86% do not allow AI to take even small remediation actions without human oversight.
  • The article notes that human review can slow response and add to analyst workload, while greater autonomy depends on building trust in AI decision-making.
  • 85% of surveyed security professionals prefer to obtain new SOC capabilities as a managed service.

Article Details

Publisher
Darktrace
Report Period
2026
Scope
Survey findings on AI adoption, trust, and managed security service preferences among security professionals.
Key Statistics
  • 77% report that GenAI plays a role in their security stack.
  • 67% report using supervised machine learning and 67% report using agentic AI in their organization’s security stack; 58% report using NLP and 35% unsupervised machine learning.
  • 89% say they have good visibility into the reasoning behind AI-generated outputs; 74% limit AI’s autonomous SOC actions until explainability improves; 86% do not allow AI to take even small remediation actions without human oversight.
  • 85% of security professionals prefer to obtain new SOC capabilities as a managed service.
  • The article reports an 87% preference for MSSP-delivered security operations in the energy sector.

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