#ai-agent-security

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#mcp #data-loss-prevention #cloud-risk-scoring #lazy-imports #python-descriptors #repl-customization
fromTechzine Global
1 week ago

Netskope launches security for Model Context Protocol

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.
Information security
Python
fromPycoders
1 month ago

PyCoder's Weekly | Issue #705

Lazy importing, Python descriptors, REPL customization, AI agent token security, and Celery async integration are key Python ecosystem topics.
Artificial intelligence
fromTheregister
2 months ago

Zenity AI Agent Security Summit focuses on risk mitigation

AI agent security is nascent, industry lacks clear solutions, and current efforts emphasize risk management and damage limitation over prevention.
fromZDNET
2 months ago

How researchers tricked ChatGPT into sharing sensitive email data

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
Information security
Artificial intelligence
fromTechzine Global
3 months ago

ServiceNow Zurich: Building agents and enhanced security for Enterprise AI

ServiceNow Zurich introduces agentic AI with Build Agent and vibe coding to enable natural-language app development, sandboxes, and enhanced security for enterprise automation.
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