TunnelMind: A Trust Attestation Framework for the Agentic Internet
TunnelMind is a trust attestation framework for the agentic internet, providing a correlated graph that maps attacker activity, observer presence, trustworthiness, and actual traffic routing. The system includes components like Scry, Sigil, Tracker, and GhostRoute, and operates through signed receipts, an open protocol, and silicon-root attestation to establish verifiable trust in network interactions.
Key quotes
One correlated graph of who is attacking, who is watching, who can be trusted, and where the traffic actually goes.
Signed receipts, open protocol, silicon-root attestation.
TunnelMind — trust attestation for the agentic internet.
From the article
You might also wanna read
Rethinking Zero Trust Security for the Agentic AI Era: Three AI Agent Threats and Context-Based Defense
The article discusses the inadequacy of traditional zero-trust security models in the age of agentic AI. It identifies three distinct AI age
undercodetesting.com·24d ago
Trust Scores for AI Agents: A Framework for Graduated Permissions Based on Behavioral Evaluation
This article proposes a trust-scoring framework for AI agents, arguing that AI systems should earn permissions progressively over time rathe
How Observability, Short-Lived Credentials, and Enforcement Saved the Web's Certificate Trust Model
This article examines how the web's Certificate Authority (CA) trust model has survived over a decade of security breaches, misissued certif
zeltser.com·13h ago
SolonGate: Zero-Trust Security Gateway for Autonomous AI Agent Actions
SolonGate is a zero-trust security gateway for AI agents that sits between LLMs and internal systems, APIs, or databases. It uses a determin
Product Hunt·22d ago
The Shift from Manual Pentesting to AI-Driven Continuous Vulnerability Management
The article discusses the evolution of cybersecurity vulnerability management, contrasting traditional manual penetration testing (valuable
linuxjournal.com·11d ago
Google DeepMind shifts AI safety strategy from alignment to monitoring and containment of rogue agents
Google DeepMind has developed a new security framework for policing AI agents that may go rogue, shifting focus from the traditional "alignm
fortune.com·19d ago
Comments
Sign in to join the conversation.
No comments yet. Be the first.