AI Manipulation Defense System (AIMDS)

소개

AIMDS is a multi-layered security framework designed to harden AI agents against prompt injection, jailbreaking, and behavioral manipulation. By combining Midstream's high-precision temporal pattern detection in Rust with AgentDB's vector search and lean-agentic's formal theorem proving, it provides a robust defense mechanism that mathematically verifies input safety before execution. This skill is essential for developers building production-grade AI systems that require strict policy compliance, resilience against sophisticated adversarial inputs, and high-performance distributed coordination via QUIC protocols.

주요 기능

• Multi-layered defense combining temporal analysis, vector matching, and formal proofs.
• Efficient vector intelligence with 4-32x memory reduction via quantization.
• High-performance temporal pattern detection using Rust-based Midstream crates.
• Formal verification of safety policies using the lean-agentic theorem prover.
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• Distributed coordination and synchronization via QUIC multi-stream protocols.

사용 사례

• Verifying AI agent decisions against formal mathematical safety policies.
• Preventing prompt injection and jailbreak attempts in production LLM applications.
• Detecting and blocking adversarial manipulation loops in autonomous agent workflows.