Phalanx
The Problem: Modern enterprise LLM pipelines are blindly trusting external web data, leaving them vulnerable to sophisticated prompt injections and context manipulation. Current security solutions rely on recursive LLM-based filtering, which is both latency-heavy and computationally expensive. The Solution: Phalanx AI acts as an immutable air gap. By leveraging the Band SDK, we orchestrate a decentralized swarm of specialized agents. Our pipeline follows a rigid interrogation order: Ingestion (Bright data SERP): Bypasses 403 blocks via rotating proxies. Deterministic (Regex): Filters known threats instantly. Statistical (Math): Our custom Stats Agent uses Shannon Entropy and cryptanalytic formulas to identify obfuscated/encoded payloads in sub-milliseconds without burning API tokens. Semantic (Gemini): Deep behavioral analysis intercepts logic traps. Compaction (Llama-70B): Only safe, cleared data is distilled into a compact JSON format for your core model. Extra Protection: Phalanx integrates Lobstertrap, an MIT-licensed Go-based edge inspection engine, ensuring structural integrity at the lowest level. Phalanx is model-agnostic, scalable via Google Cloud Run, and engineered to enforce deterministic security over unpredictable generative AI.
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"The originality and business value is very great for this. It addresses the falw today where one LLM judges another LLM and uses mathematical skills. It also first uses lighter LLMs before using hevier LLMS. Presenation - needed to be improved as saw 2 voices overlapping making it diffiulct to understand."
"Phalanx is a highly creative and technically sophisticated security solution. The idea of using Band SDK to orchestrate a decentralized swarm of specialized prompt injection detection agents is genuinely novel. The multi-layer pipeline (Regex/Deterministic → Shannon Entropy stats → Semantic/Gemini → Compaction/Llama) is well-reasoned, progressively applying heavier analysis only to payloads that pass earlier filters. Using Shannon Entropy and cryptanalytic formulas for sub-millisecond detection without burning API tokens is a smart optimization. Lobstertrap integration for structural integrity at the edge adds another layer. As a solo project, this is impressive. The problem (blind trust of external web data in LLM pipelines) is real and growing in enterprise settings."
Sanem Avcil
For Innovators & Creators