On September 23, 2026, Google shipped Gemini CLI 0.61.0, which requires human confirmation before the agent edits a build file or runs a command shaped by untrusted content. Developers using a coding agent should update and leave those confirmations on: for now, they are the best defense against indirect prompt injection.
On September 2, 2026 Google shipped Gemini 3.8 Flash and its Cyber variant, a security model that identified a critical foundational vulnerability in under two hours — work that normally takes researchers months. For defenders the real story is not raw capability but access, which is reserved for trusted defenders through the Fairwind Program.
On 26 August 2026, Google made Gemini 3.5 Transcribe generally available, two dedicated speech-to-text models with diarization and custom vocabulary, and on 27 August it shipped Gemini Omni 1.1 Flash, its conversational video generation model with interpolation and 4K output. Transcription is no longer a feature of the generalist model — it is a standalone product. Here is what that changes for teams that transcribe or produce video.
On August 19, 2026, the Google Threat Intelligence Group detailed AVDH, an AI-agent harness Mandiant has run for ten months to audit source code, which validated more than 100 critical flaws in two days on stolen corporate repositories. For defenders, it is the demonstration that manual code review can no longer keep pace with AI — and that a well-built harness can rebalance the fight.
On August 14, 2026, Google shipped Gemini 3.7 Flash, its most intelligent workhorse model for coding and agents, at $0.75 per million input tokens — half the price of its predecessor, only three weeks later. For teams industrializing agentic coding, it is the value benchmark to lock in before the January 1, 2027 price hike.
On August 12, 2026 Google announced that Koray Kavukcuoglu, DeepMind’s former CTO, is replacing Demis Hassabis as head of the AI unit, with a mandate refocused on the frontier and on code. The move is a deliberate pivot from research toward product execution to catch OpenAI and Anthropic.
