Artwork
iconShare
 
Manage episode 492724345 series 3604885
Content provided by CISO Marketplace. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CISO Marketplace or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

This podcast explores MITRE's SAFE-AI framework, a comprehensive guide for securing AI-enabled systems, developed by authors such as J. Kressel and R. Perrella. It builds upon established NIST standards and the MITRE Adversarial Threat Landscape for Artificial Intelligence Systems (ATLAS)™ framework, emphasizing the thorough evaluation of risks introduced by AI technologies. The need for SAFE-AI arises from AI's inherent dependency on data and learning processes, contributing to an expanded attack surface through issues like adversarial inputs, poisoning, exploiting automated decision-making, and supply chain vulnerabilities. By systematically identifying and addressing AI-specific threats and concerns across Environment, AI Platform, AI Model, and AI Data elements, SAFE-AI strengthens security control selection and assessment processes to ensure trustworthy AI-enabled systems.

www.compliancehub.wiki/navigating-the-ai-security-landscape-a-deep-dive-into-mitres-safe-ai-framework-for-compliance

Sponsors:
https://airiskassess.com

https://cloudassess.vibehack.dev

  continue reading

198 episodes