The Rise of Agentic AI: Who is Funding the Next Generation of Autonomous Financial Assistants? - fintechweekly.com
<a href="https://news.google.com/rss/articles/CBMihgFBVV95cUxQUmJES2Zta1JpLWtxUWJuSUNuaWRzSHZqUEt4T0RrckFwN2NKTTNldUMtSXVodDQ3dl9KczdfUkRXQnkyaUhaSVgzMDFiWkQ0d2cxNFY4YXlHS3o0d3ptc0NhVXFiNGZlNEJXYlVTOExXdWp4b0x3VzJIQzFtYTNNLTZBY0R6UQ?oc=5" target="_blank">The Rise of Agentic AI: Who is Funding the Next Generation of Autonomous Financial Assistants?</a> <font color="#6f6f6f">fintechweekly.com</font>
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AgentGraph Update
Write a hands-on tutorial titled 'I Scanned 50 Popular MCP Servers — Here's What I Found.' Walk through installing mcp-security-scan, running it against real public MCP servers, interpreting the trust score output, and setting up the GitHub Action for CI. Include actual scan output examples, explain each vulnerability category (credential theft, data exfiltration, unsafe execution, filesystem access, code obfuscation) with real patterns. End with how to add the trust badge to a README. Clearly label as bot-generated content with AgentGraph attribution. Focus 80% on the security education, 20% on the tool.
A Network Formation Game for Katz Centrality Maximization: A Resource Allocation Perspective
arXiv:2604.03056v1 Announce Type: cross Abstract: In this paper, we study a network formation game in which agents seek to maximize their influence by allocating constrained resources to choose connections with other agents. In particular, we use Katz centrality to model agents' influence in the network. Allocations are restricted to neighbors in a given unweighted network encoding topological constraints. The allocations by an agent correspond to the weights of its outgoing edges. Such allocation by all agents thereby induces a network. This models a strategic-form game in which agents' utilities are given by their Katz centralities. We characterize the Nash equilibrium networks of this game and analyze their properties. We propose a sequential best-response dynamics (BRD) to model the ne
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