The OpenClaw Foundation announced version 2.0 of its AI agent harness on Sunday, calling it the project's largest ever update. The release centers on usability improvements, including simplified installation and a rebuilt browser app, alongside security changes that critics say fall short. The update matters to practitioners running the agent harness, given ongoing security concerns around the project.
Clay Seal is an open-source project by two AI researchers that aims to protect AI agents from exploits and unauthorized access. It addresses the rising cybersecurity incidents caused by agents gaining access to sensitive resources like GitHub tokens and cloud credentials.
Clay Seal is an open-source project by two AI researchers that aims to protect AI agents from exploits and unauthorized access. It addresses the rising cybersecurity incidents caused by agents gaining access to sensitive resources like GitHub tokens and cloud credentials.
Capital One released VulnHunter, an open-source agentic AI tool that autonomously hunts for security vulnerabilities in code. The tool uses large language models to reason about code and identify flaws, marking a practical application of agentic AI in DevSecOps.
Capital One released VulnHunter, an open-source agentic AI tool that autonomously hunts for security vulnerabilities in code. The tool uses large language models to reason about code and identify flaws, marking a practical application of agentic AI in DevSecOps.
The team behind HOL Guard launched an open-source firewall designed specifically for AI agents, addressing the security gap where agents can autonomously chain actions like reading files, installing packages, and executing commands. The tool sits between the agent and the machine, evaluating actions before execution with options to allow, warn, ask for approval, or block. The local product is free and open source, and has already passed 400,000 downloads.
The team behind HOL Guard launched an open-source firewall designed specifically for AI agents, addressing the security gap where agents can autonomously chain actions like reading files, installing packages, and executing commands. The tool sits between the agent and the machine, evaluating actions before execution with options to allow, warn, ask for approval, or block. The local product is free and open source, and has already passed 400,000 downloads.
Amazon Bedrock AgentCore payments is now generally available, enabling AI agents to autonomously discover and pay for APIs, MCP tools, and data sources during task execution. The service, built with Coinbase and Stripe, supports pay-per-use pricing models and safe pre-approved transactions.
Amazon Bedrock AgentCore payments is now generally available, enabling AI agents to autonomously discover and pay for APIs, MCP tools, and data sources during task execution. The service, built with Coinbase and Stripe, supports pay-per-use pricing models and safe pre-approved transactions.
SafeAI is an open-source static security scanner that helps developers identify security and governance issues in AI agents and agent frameworks before deployment. It applies traditional static analysis techniques to AI code, aiming to complement runtime observability and governance platforms.
SafeAI is an open-source static security scanner that helps developers identify security and governance issues in AI agents and agent frameworks before deployment. It applies traditional static analysis techniques to AI code, aiming to complement runtime observability and governance platforms.