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2026 Research Report · AI Edition

The State of Vulnerabilities in the AI Era

AI-enabled attackers are exploiting faster. Enterprise security teams need continuous security validation to stay ahead.

Synack’s 2026 State of Vulnerabilities Report analyzes 11,000+ real-world vulnerabilities from 2024–2025 to reveal how the attack surface is changing, where severity is increasing, and how leading organizations are reducing remediation time.

11,000+ Vulnerabilities · AI-Era Attack Surface · MTTR Benchmarks
47% average MTTR reduction · 120% growth in AI/LLM security missions · 37% critical or high-severity findings

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Access Synack’s 2026 State of Vulnerabilities Report analyzing 11,000+ real-world vulnerabilities across the AI-era attack surface.
Synack 2026 State of Vulnerabilities Report
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Inside the Report

What 11,000+ vulnerabilities reveal about the AI-era attack surface

Vulnerability volume held roughly flat in 2025, but risk did not. Severity increased, Remote Code Execution findings grew, and AI-enabled adversaries compressed the time between disclosure and exploitation. Synack’s 2026 State of Vulnerabilities Report shows why enterprise security teams can no longer rely on periodic testing alone — and how continuous security validation helps organizations find, validate, prioritize, and remediate exploitable risk faster.

48,244
Published CVEs in 2025
+20% YoY
47%
Reduction in average MTTR
across severities
+120%
Growth in AI/LLM
security missions
+39%
Increase in Remote Code
Execution findings

What you’ll learn

  • Why stable vulnerability volume is still a warning signal in the AI era
  • How Synack customers reduced MTTR by 47% across severity levels
  • Which attack vectors are accelerating, including RCE, brute force, and content injection
  • How AI and LLM security missions are reshaping the enterprise attack surface
  • How manufacturing, financial services, government, retail, and technology compare on severity and remediation speed

The report shows how leading organizations are moving beyond periodic testing toward continuous validation — combining AI-driven coverage with human expertise to prove what matters and reduce real exploitable risk.

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