Google Secure AI Framework (SAIF) 2.0: AI Security Strategy and Tools
webCredibility Rating
High quality. Established institution or organization with editorial oversight and accountability.
Rating inherited from publication venue: Google AI
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.
Metadata
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.
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| Tool Use and Computer Use | Capability | 67.0 |
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Google’s AI security strategy
How we’re securing the AI frontier
Oct 06, 2025
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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.
Evan Kotsovinos
Vice President - Privacy, Safety & Security
Four Flynn
VP of Security for Google DeepMind
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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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While AI is an unprecedented moment for science and innovation, bad actors see it as an unprecedented attack tool. Cybercriminals, scammers and state-backed attackers are already exploring ways to use AI to harm people and compromise systems around the world. From faster attacks to sophisticated social engineering, AI provides cybercriminals with potent new tools.
We believe that not only can these threats be countered, but also that AI can be a game-changing tool for cyber defense, and one that creates a new, decisive advantag
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