AI Systems Get Hacked Differently.
Here's How to Stop It.
ByteShield is a technical security publication for engineers building production AI systems. Deep dives, working code, and zero fluff — covering LLM security, AI agent authorization, RAG pipeline protection, and network anomaly detection.
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Every post on ByteShield includes working Python code, real attack patterns, and defenses you can ship today.
If you're building LLM-powered applications, AI agents, or RAG pipelines — your attack surface just got 10x larger. Most security tools weren't built for this. Most developers don't know what they don't know.
ByteShield exists to close that gap.
Prompt Injection
How attackers hijack your LLM through malicious input — and exactly how to stop them
AI Agent Authorization
Why your AI agent should never have root access, and how to scope permissions correctly
RAG Pipeline Security
The data leakage risks hiding inside your vector store and retrieval layer
Network Anomaly Detection
Using AI to detect threats — and securing the AI doing the detecting