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FIRST LOOK NVIDIA Launches OSAA and SAFE Open AI Security Framework // HIGH UK AI Security Institute Reports Security Incident INC-2026-07-28 // FIRST LOOK Microsoft Launches Zero Trust for AI Agent Security Tools // FIRST LOOK Varonis Launches Agent IBAC to Constrain AI Agent Actions at Runtime // CRITICAL DeepSeek AI Agent Weaponised in Proxyjacking Attack on Security Firm // CRITICAL CVE-2026-44827: Hugging Face Diffusers RCE Bypasses Trust Gate // FIRST LOOK Sprocket Launches AI Agent for Hardware and Software Dev // FIRST LOOK OpenAI Astra Model Solves 10 Open Math and CS Problems // FIRST LOOK CrowdStrike Falcon AIDR Adds Coverage for Copilot Studio and Claude Code // FIRST LOOK LLM CLI Tool Adds OpenAI Endpoint Command for Any AI Backend //
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Anthropic Brings Voice Mode to Claude Opus and Sonnet Models

Anthropic Brings Voice Mode to Claude Opus and Sonnet Models

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 The Verge AI

Anthropic has expanded Claude's voice mode to its more capable Opus and Sonnet models, with agentic integrations into productivity apps including Gmail, Slack, and Canva. This significantly widens the attack surface by combining a natural-language voice input channel with agentic action-taking capabilities across third-party platforms. Defenders must now account for voice-based prompt injection, cross-app lateral movement via conversational instruction, and the difficulty of auditing spoken-language interactions at scale.

Anthropic Releases Claude-Real-Video for Local Video Analysis

Anthropic Releases Claude-Real-Video for Local Video Analysis

FIRST LOOK ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.8 HN AI Security

claude-real-video is an open-source, MIT-licensed Python library that extracts scene-change frames, deduplicates images, and transcribes audio from any video URL or local file, then packages the result as a folder any LLM can consume — all processed locally without cloud upload. For defenders, this dramatically expands the multimodal prompt injection surface by enabling adversaries to embed malicious instructions inside video content that LLM pipelines will now ingest and act upon. Security teams building or deploying LLM agents with video-processing capabilities must treat video content as an untrusted, potentially adversarial input channel.

OpenAI's ChatGPT Image Generation Fails Content Moderation

OpenAI's ChatGPT Image Generation Fails Content Moderation

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 OpenAI (via HN)

Mindgard researchers demonstrated that ChatGPT's image generation pipeline can be manipulated through an indirect, socially-engineered prompt to produce violent and sexually explicit content without users directly requesting it, exposing a significant failure in OpenAI's content moderation controls. Defenders and enterprise operators of ChatGPT-integrated products face a newly validated attack class where innocuous-looking prompt patterns — potentially spreading virally — can systematically strip safety guardrails from image generation. This finding signals that content filter bypasses in multimodal systems are reproducible at scale, raising urgent questions about the adequacy of output-layer filtering as a sole defence mechanism.

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