LIVE FEED
CRITICAL VOLTA Infostealer Uses LLM Chain to Rank Victim Assets // FIRST LOOK Northstar Security Launches AI Agents to Surface Toxic Risk Combos // HIGH Prompt Injection in Court Filing Triggers Brazil Lawyer Sanctions // HIGH ChatGPT HTML Preview XSS Enables Account Takeover // HIGH Cathedral AI Agents Breach Anthropic Systems in Under 12 Hours // FIRST LOOK OpenAI Updates Model Spec to Sharpen AI Judgment and Safety // HIGH Prompt Injection Targets AI Agent Planning in New Attacks // FIRST LOOK Mistral Releases Mistral Large 4 Open Weights for Cyber Defense // HIGH Hugging Face Malware Hijacks GPUs via trust_remote_code // CRITICAL Claude Code VS Code Extension Trojanized with SSH Backdoor //
MICROSOFT

Microsoft

18 reports
All LLM Security Agentic AI Industry News Research First Look: Security Supply Chain Prompt Injection Regulatory Adversarial ML Jailbreaks Model Theft Data Poisoning Deep Signal Intelligence Report Monthly Review AI Governance AI Security AI Security Tools Identity & Access Management Security Operations
Microsoft MDASH Discovers 16 Windows RCE Flaws

Microsoft MDASH Discovers 16 Windows RCE Flaws

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.8 The Hacker News

Microsoft has disclosed MDASH, a multi-model agentic AI scanning system that autonomously discovered 16 vulnerabilities patched in May 2026's Patch Tuesday, including two critical RCE flaws. The system orchestrates over 100 specialised AI agents in a structured pipeline covering auditing, debating, and proof-of-exploitability stages. MDASH represents a significant shift in how AI is being deployed offensively and defensively within the vulnerability research lifecycle, with direct implications for how agentic AI systems are trusted, scoped, and governed.

CVE-2026-26030: Semantic Kernel RCE via Prompt Injection

CVE-2026-26030: Semantic Kernel RCE via Prompt Injection

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.2 Microsoft Security Blog

Microsoft's Defender Security Research Team disclosed two CVEs in Semantic Kernel — a widely-used AI agent orchestration framework — demonstrating how prompt injection can escalate to remote code execution via compromised plugins. The vulnerabilities (CVE-2026-26030 and CVE-2026-25592) expose a systemic risk in the agentic AI layer: because frameworks like Semantic Kernel abstract tool orchestration, a single flaw in how LLM outputs are mapped to system tools can propagate across every application built on that foundation. This research signals a critical shift in AI threat modelling, where prompt injection is no longer a content risk but an execution risk.

ML Supply Chain Compromise in DoD AI Integration

ML Supply Chain Compromise in DoD AI Integration

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 6.5 SecurityWeek

The US Department of Defense has formalised agreements with seven major technology companies — including Google, Microsoft, OpenAI, and Amazon Web Services — to integrate AI into classified military networks for battlefield decision support. The move raises significant AI security concerns around human oversight, adversarial manipulation of high-stakes AI systems, and supply chain risks introduced by multiple commercial vendors operating within classified environments. Notably, Anthropic was excluded following a public dispute over AI safety and ethics in warfare.

◉ 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.