LIVE FEED
FIRST LOOK Google Chrome Shifts to Two-Week Release Cycle for Faster Security Patches // FIRST LOOK Trail of Bits Ships Coop: Isolated VMs for Claude Code and Codex // CRITICAL CVE-2026-81578: PaperCut Exploited by AI Agents at Scale // FIRST LOOK arXiv Research Introduces Self-Evolving Procedural Graphs for LLM Agents // HIGH Chinese AI Firms Accused of Distilling OpenAI and Anthropic Models // HIGH Workflow Identity Hijacking Targets Enterprise AI Data Access // CRITICAL AI-Accelerated WeChat Zero-Click Worm Spreads via RCE // FIRST LOOK Microsoft Uses AI to Ship Record 974-Vulnerability Patch Batch // FIRST LOOK Meta Launches Muse Personal AI Agent with Secure VM Isolation // CRITICAL ChatGPT Cross-Account Data Leakage via Sandbox Channel //
PHISHING-AS-A-SERVICE

Phishing-as-a-Service

3 reports
All LLM Security Agentic AI Industry News Research Supply Chain First Look: Security Prompt Injection Regulatory Adversarial ML Jailbreaks Model Theft Data Poisoning Deep Signal Intelligence Report AI Governance AI Security AI Security Tools Identity & Access Management Monthly Review Security Operations
Check Point 2026 AI Security Report: LLMs Now Run Live Attacks

Check Point 2026 AI Security Report: LLMs Now Run Live Attacks

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.2 Check Point Research

Check Point Research's 2026 AI Security Report documents a fundamental shift in the threat landscape: AI has moved from a development accelerator to an active operator within live intrusions, with nation-state and criminal actors alike deploying LLMs to conduct hands-on attack operations. The report highlights the maturation of AI-enabled criminal tooling markets, the rise of indirect prompt injection as an operationally relevant attack vector, and persistent enterprise data leakage through unsanctioned AI application use. Agentic architectures are being specifically exploited through planted configuration files that persist malicious instructions across sessions, representing a durable and largely invisible bypass technique.

Google Gemini Abused for Phishing-as-a-Service

Google Gemini Abused for Phishing-as-a-Service

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 Schneier on Security

A Chinese cybercriminal group called Outsider Enterprise exploited Google's Gemini AI to mass-produce phishing pages impersonating Google, YouTube, and government agencies like E-ZPass, offering nearly 300 scam templates via Telegram. Google has filed suit and coordinated with major US carriers to block the resulting smishing campaigns. The case highlights how generative AI lowers the technical barrier for large-scale phishing operations and stress-tests provider-side content controls.

Google Gemini Prompt Injection Powers Smishing Campaign

Google Gemini Prompt Injection Powers Smishing Campaign

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 The Hacker News

Google has filed suit against a Chinese cybercrime network operating the Outsider phishing-as-a-service kit, which exploited Gemini AI to generate fraudulent phishing pages and power large-scale SMS phishing attacks against Americans. The network used carefully framed prompts — disguised as benign programming requests — to bypass AI safety controls and produce functional credential-harvesting websites. The case illustrates the growing industrialisation of AI-assisted phishing infrastructure, with over 1.59 million malicious URLs and 100,000 victims attributed to the operation.

◉ AI THREAT BRIEFING

Stay ahead of the threat.

Twice-weekly digest of critical AI security developments — every story mapped to MITRE ATLAS and OWASP LLM Top 10. Free.

No spam. Unsubscribe anytime.