Microsoft Warns: Poisoned AI Tool Descriptions Facilitate Covert Data Exfiltration
Microsoft research reveals how poisoned AI agent tool descriptions can lead to silent corporate data leaks, bypassing traditional security.
llm-security
Bleeding Llama: Critical Ollama Out-of-Bounds Read Vulnerability (CVE-2026-7482) Exposes Remote Process Memory
Critical Ollama vulnerability (CVE-2026-7482) allows remote, unauthenticated attackers to leak entire process memory. Codename: Bleeding Llama.
The Cognitive Battlefield: Human Trust, AI Agents, and the Evolving Cyber Threat Landscape
Exploring human trust in AI agents, strategic interactions, and their profound implications for cybersecurity and OSINT.
The Unmasking Machine: LLM-Assisted Deanonymization and Its Profound Cybersecurity Implications
LLMs can deanonymize users from online posts with high precision, posing new cybersecurity and privacy risks.
Viral AI Caricatures: A Covert Vector for Enterprise Data Exposure and Shadow AI Risks
Viral AI caricatures expose enterprise data, fuel shadow AI, social engineering, and LLM account compromise risks, demanding robust cybersecurity.
The AI Zero-Day Revolution: How LLMs are Redefining Vulnerability Discovery and Exploitation Speed
LLMs like Opus 4.6 are rapidly accelerating zero-day discovery and exploitation, challenging traditional cybersecurity paradigms.