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Insights on AI agent security, product updates, and best practices.
How to Secure AI Coding Agents: The Complete 2026 Guide
To secure AI coding agents, you need 4 things: runtime isolation, credential encryption, behavior monitoring, and supply chain verification.
Read moreThe AI Agent Kill Chain: How MCP Server Attacks Work in 7 Stages
The 7-stage attack sequence targeting MCP servers — from AI-powered phishing to credential exfiltration. OpenSyber detects 5 of 7 stages today.
Read moreSlopsquatting: How AI Hallucinated Packages Become npm Attack Vectors
Slopsquatting is an attack where adversaries register npm package names that AI models hallucinate. 4,600 weaponized packages found on npm.
Read moreEU AI Act Compliance for Agent Platforms
What the EU AI Act means for teams deploying autonomous AI agents in production.
Read moreMCP Security Best Practices for Production Deployments
How to harden Model Context Protocol servers against prompt injection and data exfiltration.
Read moreSupply Chain Attacks Targeting AI Agents in 2026
From UNC6426 to CursorJack — how threat actors are exploiting the AI agent ecosystem.
Read moreWhy Self-Hosted AI Agents Are a Security Risk
The hidden dangers of running unmanaged AI coding agents and how to fix them.
Read moreIntroducing OpenSyber: Secure AI Agent Hosting
Why we built OpenSyber and what it means for AI agent security.
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