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Source channel @githubtrending · Post #15068 · Aug 17

#python#artificial_intelligence#cybersecurity#generative_ai#llm#pentesting Cybersecurity AI (CAI) is an open-source, lightweight framework that helps you build AI agents to find and fix security vulnerabilities efficiently. It supports many AI models and tools, works on multiple operating systems, and allows human control during tasks. CAI automates complex security testing steps like scanning, exploiting, and validating bugs, making bug bounty hunting easier and faster. It also logs detailed traces for better analysis and supports teamwork among AI agents. Using CAI can boost your cybersecurity skills, save time, and improve your ability to protect systems from attacks by combining AI power with your expertise. https://github.com/aliasrobotics/cai

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Crypto M - Crypto News

@CryptoM · Post #64826 · 04/10/2026, 02:43 AM

🚀 AI's Impact on Investment and Trading: Insights from Nansen CEO PANews posted on X (formerly Twitter) about a discussion with Nansen CEO Alex Svanevik on the evolving role of AI in investment and trading. Svanevik highlighted that 'smart money 2.0' is transforming into a predictive system, with agent trading expected to surpass human trading by 2028. However, he emphasized the need for users to build a 'trust ladder' before fully relying on trading agents. The conversation also covered the implementation of tools like OpenClaw in enterprise settings, where safety is prioritized over speed. Svanevik shared insights on how the Nansen team utilizes OpenClaw and how AI is reshaping team structures. He noted that 'judgment' is becoming the most scarce resource within AI-native companies. Svanevik further pointed out that low latency, overcoming AI bottlenecks, and open-source solutions will define the next generation of agent infrastructure. #AI#Investment#Trading#FinTech#MachineLearning#PredictiveAnalytics#OpenSource#EnterpriseAI#FinancialTechnology#AlgorithmicTrading