Research, analysis, and perspectives on securing AI systems from emerging threats.
IBM and Cisco's 2025 reports reveal a stark reality: almost no AI deployments have proper access controls in place.
Developers using unapproved AI providers, third-party libraries making hidden API calls — shadow AI is everywhere.
SDK-based security requires developer adoption. Network proxies miss encrypted traffic. eBPF operates at the kernel — and changes the game.
Sensitive data access, untrusted content exposure, and external communication — when all three converge in an AI agent, the risk is maximum.
LLMs process natural language where instructions and data coexist — making prompt injection uniquely challenging to defend against.