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Evaluating LLMs as a Bridge Between Cyber Threats and Business Risk for Executive Decision-Making

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Evaluating LLMs as a Bridge Between Cyber Threats and Business Risk for Executive Decision-Making (PDF, 0.35MB)Published: 11 Aug, 2026
Created by:
Arcadio Aguilar

This paper presents an evaluation of a locally deployable open-weight large language model tested across five prompt strategies of increasing sophistication against a corpus of real-world cyber incident reports, scored against a structured rubric by both an AI instrument and an independent human analyst.

Additional Resources

Entra ID Governance: Insta-IAM/IGA Solution?

WhitepaperCyber Defense
  • 6 Aug 2026
  • Scott Fortin

Reconstructing Deleted File Activity Using FSEvents from macOS

WhitepaperDigital Forensics and Incident Response
  • 30 Jul 2026
  • Josh Clevenger

Practical MFA for the Enterprise: Enforcing Strong Authentication for Non-Human Identities Using Compensating Controls

WhitepaperCyber Defense
  • 9 Jul 2026
  • Fredrick Stock

Capturing the Click: Process-Based Detection of Malicious Link Interactions

WhitepaperDigital Forensics and Incident Response
  • 22 Jun 2026
  • Daniel Gott

Detection Strategies for AskCreds Beacon Object File Credential Harvesting Across Multiple C2 Frameworks

WhitepaperDigital Forensics and Incident Response
  • 22 Jun 2026
  • Eric Fletcher

macOS Infostealer Exfiltration Techniques via Native Tooling: Behavioral Analysis and Defenses

WhitepaperCyber Defense
  • 22 Jun 2026
  • Cory Findley

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