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This is a special weekend edition examining the growing gap between AI adoption speed and AI security readiness. Four stories that reveal why your AI stack may be more exposed than you think — and what to do about it.

  1. Critical Vulnerabilities in Amazon Bedrock, LangSmith, and SGLang: Security researchers discovered flaws that could expose training data, API keys, and allow remote code execution in widely-used AI platforms.
  2. The Visibility Gap: A new report shows 67% of security leaders cannot see their own AI-related vulnerabilities, while AI-powered attacks have increased 300% year-over-year.
  3. NVIDIA OpenShell: Released at GTC 2026, this open-source runtime sandboxes autonomous AI agents with kernel-level isolation and policy enforcement that the agent itself cannot override.
  4. GSA AI Procurement Rules: The federal government proposed sweeping new rules requiring "American AI Systems" and granting broad data and IP rights over contractor AI tools.

The episode closes with five concrete security actions any company can take this week.

Produced by BuildClub. Learn more at buildclub.com.

Summary

This is a special weekend edition examining the growing gap between AI adoption speed and AI security readiness. Four stories that reveal why your AI stack may be more exposed than you think — and what to do about it.

Key Takeaways
  • Critical Vulnerabilities in Amazon Bedrock, LangSmith, and SGLang: Security researchers discovered flaws that could expose training data, API keys, and allow remote code execution in widely-used AI platforms.
  • The Visibility Gap: A new report shows 67% of security leaders cannot see their own AI-related vulnerabilities, while AI-powered attacks have increased 300% year-over-year.
  • NVIDIA OpenShell: Released at GTC 2026, this open-source runtime sandboxes autonomous AI agents with kernel-level isolation and policy enforcement that the agent itself cannot override.
  • GSA AI Procurement Rules: The federal government proposed sweeping new rules requiring "American AI Systems" and granting broad data and IP rights over contractor AI tools.

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