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Agentic AI Identity Problem: New Attack Surface for Enterprises
Agentic AI systems pose novel identity and access management challenges, creating new attack vectors for data exfiltration and privilege escalation.
LLM Prompt Injection: Role Confusion Exposes Core Architectural Flaws
An in-depth analysis of LLM prompt injection, detailing how 'role confusion' in model representations undermines tag-based security and demands architectural solutions.
Microsoft Copilot 'SearchLeak' Attack: AI Prompt Injection Data Theft
Analysis of the critical Microsoft Copilot 'SearchLeak' attack. Learn how prompt injection allowed 1-click data theft and crucial defense strategies for AI applications.
Claude Fable 5: No Major Security Shift from Mythos
Anthropic's Claude Fable 5 retains security posture of Mythos 5, improving over Mythos Preview. This analysis details its implications for secure AI integration.
Agentic AI Worms: Defending Against LLM-Powered Lateral Movement
Enterprise security teams must prepare for agentic AI worms capable of autonomous adaptation, self-replication, and automated exploitation within a year.
Google Gemini Indirect Prompt Injection via Malicious Notifications
Security researchers demonstrate how malicious notifications can manipulate Google Gemini's voice assistant to perform unauthorized tasks or exfiltrate data.
AI Red Teaming: Guardrail Manipulation via Jailbreaking and Data Poisoning
Explores AI red teaming methods like jailbreaking and data poisoning used to manipulate AI guardrails and harden machine learning models against adversarial attacks.
LiteLLM Proxy Data Exposure & Modification — Urgent Patch Required
Critical vulnerability in LiteLLM proxy enables unauthorized database read/modify access. Exploitation observed shortly after disclosure. Patch immediately.
LMDeploy SSRF: CVE-2026-33626 Exploit and Mitigation Guide
Attackers are actively exploiting CVE-2026-33626, a high-severity SSRF in LMDeploy, to access sensitive LLM data. Learn how to detect and patch this flaw.
CrowdStrike Falcon AI Integrity: Securing Autonomous AI Agents
CrowdStrike introduces new capabilities within the Falcon platform to identify shadow AI and ensure the integrity of autonomous AI agents across the enterprise.
Architectural Security Risks of MCP in LLM Environments
Explore architectural security risks introduced by MCP in Large Language Model environments, deemed unpatchable and requiring fundamental redesigns for future safety.
Claudy Day: Prompt Injection and XSS Flaws Target Claude AI Users
Researchers uncover 'Claudy Day', a trio of vulnerabilities in Anthropic's Claude AI that allow data theft through malicious Google search results.