Google Secure AI Framework (SAIF) 2.0: AI Security Strategy and Tools

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Google AI·blog.google/technology/safety-security/ai-security-fronti...

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High quality. Established institution or organization with editorial oversight and accountability.

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Relevant to practitioners implementing secure AI systems; SAIF 2.0 bridges technical AI safety controls with organizational security practices, making it useful for teams navigating deployment-time risks and compliance requirements.

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Importance: 55/100blog postreference

Summary

Google's Secure AI Framework (SAIF) 2.0 outlines Google's evolving strategy for securing AI systems against emerging threats, including adversarial attacks, model theft, and data poisoning. It provides a structured framework for organizations to assess and improve their AI security posture. The post introduces updated tools, guidelines, and best practices aligned with the latest AI deployment risks.

Key Points

•SAIF 2.0 updates Google's original Secure AI Framework with expanded guidance covering new AI threat vectors and deployment scenarios.
•Addresses key risks including prompt injection, model extraction, training data poisoning, and supply chain vulnerabilities in AI systems.
•Provides actionable security controls and evaluation tools for organizations building and deploying AI products.
•Emphasizes shared responsibility across developers, deployers, and users for maintaining AI system security.
•Connects AI security practices to broader industry standards and regulatory compliance requirements.

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# How we’re securing the AI frontier

Oct 06, 2025

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3 min read

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We’re announcing a new AI Vulnerability Reward Program, an updated Secure AI Framework 2.0 for AI, and the release of our new AI-powered agent CodeMender, which improves code security automatically.


E

Evan Kotsovinos

Vice President - Privacy, Safety & Security


F

Four Flynn

VP of Security for Google DeepMind


Read AI-generated summary


## General summary

AI advancements bring new security risks, so we are sharing new ways to use AI for good. We are launching CodeMender, an AI agent for automatic code security, plus a new AI Vulnerability Reward Program. Look to Secure AI Framework 2.0 for guidance on agent security risks.

Summaries were generated by Google AI. Generative AI is experimental.


## Bullet points

- "How we’re securing the AI frontier" discusses Google's efforts to defend against AI-powered cyberattacks.
- CodeMender, an AI agent, automatically finds and fixes code vulnerabilities, accelerating security patching.
- Google's new AI Vulnerability Reward Program incentivizes researchers to find and report AI flaws.
- Secure AI Framework 2.0 (SAIF) expands to address risks from AI agents, ensuring secure design.
- Google aims to use AI to enhance cybersecurity, partnering with public and private sectors for defense.

Summaries were generated by Google AI. Generative AI is experimental.


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