lab Google — The Keyword (AI) · 3h ago · releases

Google launches Fairwind Program with Gemini 3.8 Flash Cyber for proactive defense

from English

Google has launched the Fairwind Program to provide trusted government agencies, enterprise partners, and cybersecurity organizations with early access to advanced AI capabilities for proactive cyber defense. The initiative combines the specialized Gemini 3.8 Flash Cyber model with the CodeMender harness to help defenders autonomously find, verify, and fix vulnerabilities at scale.

The program offers Gemini 3.8 Flash Cyber integrated with CodeMender to generate verified, deployment-ready patches in minutes within secure cloud environments.
Initial access is prioritized for governments, critical infrastructure operators, and core technology platforms to harden systems against targeted intrusions.
Participating organizations must adhere to strict operational standards, including limiting access to internal security teams and using multi-factor authentication.
Google has over 650 participating partners globally and has committed more than $100 million in cybersecurity funding through Google.org.

The program aims to shrink the time between detecting a flaw and patching it, giving defenders a vital adaptation window to protect critical infrastructure and public services from agentic-speed threats.

Importance 2/3 New harness with differentiators Trust 3/3 Google — The Keyword (AI) Google DeepMind AI agents Safety & alignment

Related articles

lab Google DeepMind Blog · 3h ago · 6 views

Google launches Fairwind Program with Gemini 3.8 Flash Cyber for proactive defense

Google has launched the Fairwind Program to provide government agencies, enterprise customers, and cybersecurity partners with access to advanced AI capabilities for proactive cyber defense. The initiative aims to help defenders autonomously find and fix vulnerabilities at scale by combining the specialized reasoning of Gemini 3.8 Flash Cyber with the CodeMender harness.

lab Google DeepMind Blog · 48d ago · 4 views

Google DeepMind and Isomorphic Labs share bioresilience approach

Google DeepMind and Isomorphic Labs have outlined their joint strategy to enhance global biosecurity by leveraging AI to prevent misuse, detect outbreaks, and respond to biological threats. The companies emphasize the need for frontier AI models to help society build resilience against future pandemics and safety risks.

arxiv arXiv cs.AI · 75d ago · 9 views

NRT-Bench: Multi-turn Red-teaming of LLM Agents in Safety-Critical Systems

NRT-Bench introduces a benchmark for multi-turn red-teaming of LLM agents operating in a simulated nuclear power plant. Across four frontier operator models, 8.7% to 12.1% of attack sessions result in loss of a critical safety function, with vulnerabilities largely disjoint across models. The effectiveness of defences varies significantly by model, showing strong model dependence.

arxiv arXiv cs.AI · 75d ago · 6 views

Defensive Misdirection Against Automated Attacks on Agentic AI

Agentic AI systems face growing threats from model-guided automated attacks. A new defense strategy, Contextual Misdirection via Progressive Engagement (CMPE), reduces attacker success rates by up to two orders of magnitude and nearly eliminates verified attack success in benchmark tests.

arxiv arXiv cs.AI · 75d ago · 3 views

Efficient and Sound Probabilistic Verification for AI Agents

A new framework enables secure, probabilistic policy enforcement for AI agents in ambiguous environments. It uses distributionally robust optimization to compute rigorous upper bounds on policy violation probabilities without assuming predicate independence. The method outperforms prior approaches on terminal and tool calling agent benchmarks, improving the security-utility trade-off.