LLM vulnerabilities - Edgentiq

Lakera and Check Point Software Introduce Open-Source Security Benchmark for AI Agent LLM Backends

Unmasking AI’s Hidden Weakness: How Long Contexts Can Be Exploited for Jailbreaking

ADL Report: Generative AI Video Tools Struggle to Block Antisemitic Content

PromptShield: Securing Generative AI with Ontology-Driven Validation

Unmasking the Vulnerability: How One Agent Can Sway Multi-Agent AI Decisions

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Exposing Financial LLM Vulnerabilities: The Risk-Concealment Attack

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Securing AI: Understanding and Defending Against Prompt Injection Attacks

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New Research Uncovers Extensive Vulnerabilities in AI Agent Communication Standard

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Safeguarding Large Language Models: A Deep Dive into Data Security Risks and Defenses

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Unlocking LLM Potential: How Threat-Based Prompts Can Boost Performance While Revealing Vulnerabilities

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The Tea App Breach Is a Red Alert: Why AI-Generated Code Must Be Treated as Untrusted by Default

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Unpacking Cognitive Degradation: A New Frontier in AI Security

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Unmasking LPCI: The Covert Threat Lurking in AI’s Logic and Memory

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Mobile AI Agents Vulnerable to Deceptive Screen Content, Study Reveals

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Gen AI News and Updates

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Lakera and Check Point Software Introduce Open-Source Security Benchmark for AI Agent LLM Backends

November 10, 2025

Unmasking AI’s Hidden Weakness: How Long Contexts Can Be Exploited for Jailbreaking

November 10, 2025

ADL Report: Generative AI Video Tools Struggle to Block Antisemitic Content

October 25, 2025