When Software Can Act: Securing AI-Native and Agentic Applications

When Software Can Act: Securing AI-Native and Agentic Applications
(Image credit: Snyk)

Traditional static security controls can lead to shadow AI, with developers bypassing manual approval processes to maintain speed. This cheat sheet is your crash course to scalable AI governance that doesn’t slow down development. Discover how to shift from static policy documents to dynamic, system-level enforcement that scales with agentic development. 

You’ll learn how to: 

  • Align AI risk mitigation with global standards like NIST, OWASP, and ISO. 
  • Implement code-level policies that prevent expensive technical debt and license violations.
  • Move from managing liability gaps to a definitive system of record for AI risk. 
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