Onyx Security has built a secure AI control plane that allows organizations to manage AI agents and rapidly adopt them across their environments. The solution was designed to continuously discover AI agents across cloud, endpoints, code, and SaaS deployments, to monitor them, and to approve or correct their actions, enforcing the enterprise's security and governance policies.
Netskope introduces security capabilities for Model Context Protocol (MCP) communication. The functionality is designed to help organizations deploy AI agents securely. MCP communication enables AI systems to connect to business data and issue autonomous commands. MCP was launched by Anthropic in November 2024 as an open standard for connecting AI agents to external systems. The protocol acts as a universal adapter between AI applications and business assets.
Augment Code's powerful AI coding agent meets professional Python developers exactly where they are (in PyCharm, VS Code or even your terminal), delivering deep context into the Online Python training created by a community of experts. Give your team the Python Lazy Imports You Can Use Today There's a proposal for Python to natively support lazy importing starting in Python 3.15. However, there are techniques that allow you to use lazy importing now. This post shows you how.
While AI agents show promise in bringing AI assistance to the next level by carrying out tasks for users, that autonomy also unleashes a whole new set of risks. Cybersecurity company Radware, as by The Verge, decided to test OpenAI's Deep Research agent for those risks -- and the results were alarming. Also: OpenAI's Deep Research has more fact-finding stamina than you, but it's still wrong half the time