Secure GenAI
Secure GenAI Podcast
Gemini safeguard, Claude 4, Thales report, 184M Breach, NIST AI data security
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Gemini safeguard, Claude 4, Thales report, 184M Breach, NIST AI data security

GenAI Safety & Security | May 19 - May 26, 2025

Note: my apologies for the absence in two weeks. I caught some incidents after returning to Vietnam from ICLR, 2025 Singapore. This week, I will try to upload more posts to help you get updated.

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Highlights

  • Gemini Safeguards

  • Anthropic: ASL-3 deployed.

  • Gemini: Adaptive attack defense.

  • Thales: Quantum threat rising.

  • NIST: AI data security guide.

Secure GenAI is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.

Dive Deep

1. Gemini Security Safeguard Google DeepMind

  • Automated red-teaming increased protection.

  • Model hardening boosts resilience.

  • Adaptive attacks tested defenses.

  • AI-specific security spending up.

  • Defense-in-depth approach adopted.

Headsup: Considered automated red team to boost security.

2. Claude 4 Safety Level 3 Anthropic

  • Activated AI Safety Level -3.

  • CBPR: Chemical, Biological, Radiological and Nuclear.

  • Deployed Claude Opus 4.

  • Not yet passed the ASL-3, but need ASL-4.

  • Continued improvement with more knowledge.

Headsup: New measures and the rational behind.

3. Thales: AI and Quantum Threats Thales

  • 56% cite enterprise breach.

  • 63% fear encryption compromise.

  • 58% worry about “decrypt later”.

  • 60% prototyping PQC solutions.

  • Challenge in innovation vs security.

Headsup: Assess quantum readiness; prioritize PQC prototyping now.

4. Breach: 184M Logins and Passwords ZDNET

  • 184M credentials exposed.

  • Data unencrypted, publicly accessible.

  • Infostealer malware suspected.

  • Facebook, Google, Microsoft impacted.

  • Metadata poses counterintelligence risk.

Headsup: Immediately enforce password resets & MFA.

5. NIST: AI Data Security NIST

  • Best practices for securing data.

  • Focused on 6 stages of data life cycle.

  • Risks: supply chain, poisoned, data drift.

  • Strategic overview, not technical documents.

  • Joint statements of top agencies.

Headsup: checkout our latest review for more.

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