Nes2Net is a lightweight nested architecture designed for foundation model-driven speech anti-fraud tasks, featuring a low error rate and suitability for audio deepfake detection. This model performs excellently on multiple datasets, and the pre-trained model and code have been released on GitHub for easy use by researchers and developers. Suitable for audio processing and security fields, it primarily aims to improve the efficiency and accuracy of speech recognition and anti-fraud.

The MCP Security Checklist is compiled and maintained by the SlowMist team, aiming to help developers identify and mitigate security risks during MCP implementation. With the rapid development of AI tools based on the MCP standard, security issues are becoming increasingly important. This checklist provides detailed security guidance, covering the security requirements of MCP servers, clients, and various scenarios to protect user privacy and enhance the overall stability and controllability of the system.

MCP-Scan is a security scanning tool specifically designed for MCP servers. It can detect common security vulnerabilities such as prompt injection and tool poisoning. By checking configuration files and tool descriptions, it helps users ensure system security. Suitable for various developers and system administrators, it is an important tool for maintaining system security.

AI Infra Guard is an AI infrastructure security assessment tool developed by Tencent. It focuses on discovering and detecting potential security risks in AI systems, supporting 28 AI framework fingerprint recognitions and covering more than 200 security vulnerability databases. The tool is lightweight, easy to use, requires no complex configuration, and features flexible matching syntax and cross-platform support. It provides an efficient assessment method for the security of AI infrastructure, helping enterprises and developers protect their AI systems from security threats.

viAct.ai is an automated construction management software/app that uses computer vision and video analytics technology to provide workplace safety monitoring. Its main advantages include reducing accident rates, saving labor costs, error-free progress tracking, and saving high compensation fees.

Nes2Net is a lightweight nested architecture designed for foundation model-driven speech anti-fraud tasks, featuring a low error rate and suitability for audio deepfake detection. This model performs excellently on multiple datasets, and the pre-trained model and code have been released on GitHub for easy use by researchers and developers. Suitable for audio processing and security fields, it primarily aims to improve the efficiency and accuracy of speech recognition and anti-fraud.

mcpscan.ai is a security scanning tool focused on Model Context Protocol (MCP) servers. It detects various security vulnerabilities in MCP servers, ensuring the secure interaction of large language models (LLMs) with external tools. This product aims to help developers identify and fix potential security risks, thereby protecting sensitive data and systems from attacks. The core value of mcpscan.ai lies in its specialized security scans for MCP implementations, providing real-time monitoring and detailed vulnerability analysis to support secure deployments.

The MCP Security Checklist is compiled and maintained by the SlowMist team, aiming to help developers identify and mitigate security risks during MCP implementation. With the rapid development of AI tools based on the MCP standard, security issues are becoming increasingly important. This checklist provides detailed security guidance, covering the security requirements of MCP servers, clients, and various scenarios to protect user privacy and enhance the overall stability and controllability of the system.

MCP-Scan is a security scanning tool specifically designed for MCP servers. It can detect common security vulnerabilities such as prompt injection and tool poisoning. By checking configuration files and tool descriptions, it helps users ensure system security. Suitable for various developers and system administrators, it is an important tool for maintaining system security.

Hakimo is a revolutionary AI-powered security monitoring platform designed to reduce security costs and risks for businesses by seamlessly integrating with existing security systems. Through real-time monitoring and intelligent analysis, Hakimo provides efficient security solutions, significantly reducing incidents of vandalism and theft. Key advantages include eliminating the need for expensive hardware upgrades, rapid deployment, compatibility with multiple security devices, and suitability for diverse business security needs. In terms of pricing, Hakimo helps clients save up to $125,000 annually, offering a more cost-effective solution compared to traditional security methods.

AI Agent + Privacy is an innovative security system product that uses AI intelligent learning and risk data analysis technology to autonomously analyze data and traffic transmitted over the network. It deeply analyzes application data and security status, thereby comprehensively protecting user data privacy and security. This product adapts to the needs of digital transformation, providing important security guarantees for enterprises and helping users maintain data security in the face of various cybersecurity threats. This product is paid and is suitable for enterprises of all sizes, particularly valuable in industries requiring the protection of sensitive information.

Lemni is an AI platform focused on enhancing customer experience, using custom AI agents to help businesses achieve efficient and personalized customer interactions. This product leverages advanced AI technology to quickly respond to customer needs, supports multilingual interaction, and seamlessly integrates with existing tools. Key advantages of Lemni include rapid deployment, high customizability, and powerful automation capabilities. Its goal is to help businesses expand globally while maintaining close contact with customers. Lemni's pricing strategy is flexible and suitable for businesses of all sizes.

AI Infra Guard is an AI infrastructure security assessment tool developed by Tencent. It focuses on discovering and detecting potential security risks in AI systems, supporting 28 AI framework fingerprint recognitions and covering more than 200 security vulnerability databases. The tool is lightweight, easy to use, requires no complex configuration, and features flexible matching syntax and cross-platform support. It provides an efficient assessment method for the security of AI infrastructure, helping enterprises and developers protect their AI systems from security threats.