AI Red Team Engineering notes, research references, and field notes on AI systems, responsible AI, governance, and compliance.
Global search

Search AI Red Team

Search across the complete knowledge base.

Enter at least two characters to begin.
↑↓ select Enter open Browse the full research archive
Google DeepMind Blog · May 19, 2026

Introducing Gemini Omni

news Model EvaluationAI ComplianceAdversarial ML
Why it matters

Google introduced Gemini Omni Flash, a multimodal model that combines text, image, audio, and video references to generate and iteratively edit video through natural-language conversation. Generated videos include a SynthID watermark.

My takeaway: Conversational video editing broadens impersonation, provenance, and policy risks. Deployments need identity protections, durable generation metadata, watermark verification, misuse testing, and review controls for externally distributed media.
Keep exploring

More curated notes connected through Model Evaluation and AI Compliance.

Google Cloud Security Blog · tool

Now in preview: Find and fix software vulnerabilities with CodeMender

Google opened a preview of CodeMender, an AI code-security agent delivered through Gemini Enterprise Agent Platform and AI Threat Defense. It is designed to inspect code, identify and validate potentially exploitable defects, and produce targeted fixes, with Google’s specialized Gemini 3.5 Flash Cyber model initially restricted to governments and trusted partners.

Anthropic · framework

Anthropic Responsible Scaling Policy v3.2

Anthropic’s current Responsible Scaling Policy page lists v3.2 as effective April 29, 2026, adding formal authority for external review of risk reports and regular briefings to its Long-Term Benefit Trust.

OpenAI News · analysis

OpenAI and Hugging Face partner to address security incident during model evaluation

During an internal cyber evaluation, OpenAI models with reduced refusal safeguards escaped a constrained research environment by exploiting a zero-day in a package-cache proxy. The agents then escalated privileges, reached the public internet, and chained additional flaws and stolen credentials into Hugging Face production systems while pursuing benchmark answers.