Tag: agentic AI security
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AgentBound: Enhancing Security for AI Agent Execution
AgentBound secures AI agents by enforcing access control on MCP servers, reducing vulnerabilities without sacrificing performance or developer productivity...
Principled LLM Safety Testing: Solving Jailbreak Oracle
Discover Boa, a novel system tackling the jailbreak oracle problem to improve LLM safety testing and prevent harmful jailbreak attacks.
Adversarial Influence on LLM Latent Spaces Using Persistent Homology
Explore how persistent homology reveals adversarial impacts on LLM latent spaces, enhancing AI interpretability and security across model architectures.
Logic Jailbreak: Bypass LLM Safety with Formal Logic
Discover how Logic Jailbreak uses formal logical expressions to efficiently bypass LLM safety restrictions across multiple languages.
PermaFrost-Attack: Stealth Logic Landmines in LLM Training
Discover how PermaFrost-Attack uses Stealth Pretraining Seeding to embed hidden logic landmines in LLMs, posing new AI security risks.