Synack-State-of-Agentic-AI-in-Pentesting-2026.md
ID: 2dce299c-2840-4718-afe5-3a8d1d7f3ac3
STIX ID: report--2dce299c-2840-4718-afe5-3a8d1d7f3ac3
Threat Score
0/100
Uploaded: 2026-08-14
Published Date: 2026-03-21
Last Modified Date: 2026-03-21
Created by: dogesec
TLP:CLEAR
ADMIRALTY:B2
PAP:CLEAR
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This Synack 2026 whitepaper summarizes survey findings from 200 U.S. security leaders on the growing adoption of agentic AI in penetration testing, covering adoption metrics, preferred human-in-the-loop operational models, expected accuracy and production-readiness criteria, prioritized asset types (e.g., cloud-native apps and AI systems), trust and governance requirements, integration and capability needs, and barriers to broader adoption.
