Tag: AI Cybersecurity
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UNSEEN: Defense Against AR-LLM Social Engineering Attacks
Discover UNSEEN, a cross-stack defense framework protecting against AR-LLM social engineering attacks by enhancing access control and LLM unlearning.
AI Security Risks: Balancing Capability and Governance
Explore the AI deployment paradox and how governance gaps increase cyber risks. Learn strategies to secure AI while maximizing its benefits.
BiTA: Advanced Temporal Graph Model for Cyber Alert Prediction
Discover BiTA, a bidirectional GRU-Transformer model enhancing temporal graph networks for accurate cyber alert prediction and threat detection.
PhySE: Real-Time AR-LLM Social Engineering Framework
Discover PhySE, a cutting-edge framework addressing real-time AR and LLM social engineering attacks with adaptive psychological tactics.
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...