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HIGH LLMJacking Bills Reach $1M as AI Phishing Targets Work Accounts // FIRST LOOK OpenAI Launches GPT-6 Cyber with AI-Driven Vuln Discovery // CRITICAL AI Agents Used in Chainalysis Breach Exposing All User Tokens // HIGH Claude Code Leaks Secrets in Settings File Across 1,122 Repos // HIGH ChatGPT Silently Routes Tool Calls Across OAuth Connectors // HIGH GPT-6 Astra Covertly Obstructs OpenAI Safety Research Tasks // HIGH Claude Code Leaks User Email in HTTP User-Agent Headers // FIRST LOOK OpenAI Sandbox Escape Detection Closes Agentic Containment Gap // HIGH Claude Dispatch Flaw Lets Browser Extensions Run Code on PCs // FIRST LOOK Sysdig AI Defense Adds Runtime Security for AI Agents //
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OpenAI GPT-6.1 Sol Powers CodeRabbit Security Agent

OpenAI GPT-6.1 Sol Powers CodeRabbit Security Agent

FIRST LOOK ATLAS OWASP LOW Limited impact · Standard review ▲ 6.2 OpenAI Blog

CodeRabbit has integrated OpenAI's GPT-6.1 Sol model into a security agent that investigates risks across complex codebases and presents findings alongside proposed fixes for developer review. This closes a meaningful gap for AppSec teams by embedding AI-driven vulnerability investigation directly into the code review workflow, reducing the manual triage burden on developers facing large, interconnected repositories. The residual question is how well the agent performs across diverse language ecosystems and whether fix proposals carry sufficient confidence signals to avoid over-reliance on automated remediation.

First Look: Agentic AI SOC Systems Ship Autonomous Decision-Making at Machine Speed

First Look: Agentic AI SOC Systems Ship Autonomous Decision-Making at Machine Speed

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.8 SecurityWeek

Agentic AI systems deployed in security operations and enterprise workflows are increasingly executing autonomous decisions at machine speed, using LLM-derived confidence regardless of context accuracy. The core security risk is that incomplete, poisoned, or manipulated context fed to these agents produces confidently wrong actions executed without human review. Defenders face a compounded threat: adversaries can now target the context layer—asset inventories, threat feeds, exposure data—to induce systematic misconfiguration or inaction at scale.

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