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Shining a Light on AI: Ensuring Vendor Transparency in Data Sourcing and Delivery

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Shining a Light on AI: Ensuring Vendor Transparency in Data Sourcing and Delivery (PDF, 0.93MB)Published: 29 Jan, 2024
Created by:
Brian P. Mohr

Amidst the proliferation of AI solutions, the focus lies in evaluating transparency, undisclosed system modifications, and data exfiltration within the privacy policies of vendors providing desktop applications, browser plug-ins, and browser-only AI solutions.

Additional resources

SANS 2026 Threat Hunting Survey: The Evolution of Threat Hunting

WhitepaperArtificial Intelligence, Cyber Defense
  • 22 Sep 2026
  • Josh Lemon

Bot or Not? Detecting AI-Driven Web Traffic Using Network Metadata Analysis

WhitepaperCyber Defense, Artificial Intelligence
  • 22 Sep 2026
  • William Hatfield

Assessing the Feasibility and Effectiveness of AI in CTI-Driven Threat Hunting

WhitepaperArtificial Intelligence, Cyber Defense
  • 17 Sep 2026
  • Devron West

Agentic Security: Detection and Response at Machine Speed

WhitepaperArtificial Intelligence, Cloud Security
  • 15 Sep 2026
  • Gee Rittenhouse, Eric Johnson

Zero Trust and AI in Cloud Environments: Securing Autonomous Agents and Modern Workloads

WhitepaperArtificial Intelligence, Cloud Security
  • 15 Sep 2026
  • Dave Shackleford, Dr. Anton Chuvakin

Architecting the Agentic Cloud: Building Secure AI Agents with Azure

WhitepaperArtificial Intelligence, Cloud Security
  • 15 Sep 2026
  • Wesley Kuzma, Chris Cochran

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