Enterprise Zero-Trust Identity Intelligence
🏆 Engineered under the Principles of ISO/IEC 29119 & 25010

Microsecond Response • Zero-Trust Resilience
Enterprise Identity Risk Intelligence Platform

由 Leo Lee 獨立研發之高吞吐資安網關與身分風險情報實驗專案。結合 Native eBPF/XDP 於核心態實施 10Gbps 線速封包早期丟棄，配對用戶態 Go 0-Allocation (0 B/op) 控制面與 L1/L2 微秒級兩階快取架構。

🔬 研究重點
1. 隱私聯防機制

探討「對暗號不亮牌」的隱私盲樣對接，讓機構在不交換用戶明文個資的前提下完成安全特徵比對。

2. 誤報抑制演算法

採用「雙重驗證機制」將雜湊碰撞機率降至極低，避免資安過濾器誤判正常用戶的交易行為。

3. 低延遲網關架構

研究「旁路處理與記憶體池優化」，將安檢延遲控制在微秒等級，維持顧客交易順暢無感。

⚡ Explore Open-Source Core Explore Research Domains ▶ Live Risk Simulator
2,250+
2,250+ HTTP QPS / 14.88 Mpps Filtering
8~14 µs
8 ~ 14 µs P50 Latency Response
0.000%
0.000% FPR (EMF-HT Exact Match)
10Gbps
Native XDP Driver-Level Early Drop (11.8 ns)
🏅

Engineered under the Principles of ISO/IEC 29119 & 25010

Architected from day one with ISO/IEC 29119 testing standards and ISO/IEC 25010 quality metrics as core engineering principles. Empirically validated under 2,250+ HTTP QPS / 14.88 Mpps line-rate packet filtering with 0 B/op allocation.

Open-Source Engineering

Explore Open-Source Core Libraries

High-performance algorithms, dual-stage zero-trust filtering modules, and zero-allocation Go / C-extension primitives released to the global developer community.

📦 idri-core / zero-trust-filter
🔒 Pre-publication Audit MIT License

High-throughput C/Rust Zero-Trust identity filtering engine. Implements a dual-stage pipeline combining Counting Bloom Filters with an exact-match fallback hash table (EMF-HT), achieving 0.000% FPR and sub-millisecond lookups within a 91 MB footprint for 10M entries.

Rust / C
View Repository →
⚡ idri-core / gateway-async-pipeline
🔒 Pre-publication Audit Apache-2.0

Non-blocking asynchronous API gateway decoupling pipeline engineered to eliminate Go GC STW pauses and context switch overhead during 100K+ RPS traffic spikes, maintaining 0 B/op heap allocation.

Go / C++
View Repository →
Technical Research & Publications

前沿技術研究專欄 (Technical Research)

針對底層記憶體操控、微秒級快取架構與 eBPF/XDP 核心旁路技術之工程研討與專題文章。

Systems & Concurrency 🔒 Pre-publication Review 12 min read

Zero-GC Concurrency: Eliminating STW Pauses in High-QPS Microservices via Custom Memory Pools

Analyzing latency spikes caused by Garbage Collection in high-concurrency microservices. Demonstrates how Go sync.Pool 0-allocation (0 B/op) and C/Rust slab allocators reduce P50 latency to 8~14 µs and P99 tail latency to < 0.5 ms under peak stress.

Read Research Paper →
Cryptography & Caching 🔒 Pre-publication Review 15 min read

Sub-Millisecond L1/L2 Cache Architecture: Dual-Stage Validation with Counting Bloom Filters & Exact Fallback Hash Tables

Architecting a dual-stage L1/L2 in-memory cache pairing Counting Bloom Filters with an Exact-Match Fallback Hash Table (EMF-HT). Eliminates false positives (FPR = 0.000%) while compressing 10,000,000 breach entry lookups to 14 µs P50 within 91 MB RAM.

Read Research Paper →
Kernel Bypassing & eBPF 🔒 Pre-publication Review 18 min read

Kernel-Bypassing Telemetry: 10Gbps Volumetric Attack Mitigation via eBPF/XDP and In-Kernel Adaptive Sampling

Deep-dive into Linux kernel drivers (Native XDP), executing 10Gbps (14.88 Mpps) line-rate early packet drop in 11.8 ns per packet. Offloads telemetry via 1:1000 in-kernel adaptive sampling and BPF Ring Buffers with 3.8% CPU usage and < 0.01% queue loss rate.

Read Research Paper →
Engineering Domains & Expertise

Core Technical Domains & Architecture Expertise

Independent engineering prototypes, benchmark write-ups, and architectural advisory for high-concurrency infrastructure.

Financial-Grade Cyber Defense

Engineered for digital banks, payment platforms, and high-value transactions with cryptographic fraud suppression and dynamic weight shielding.

  • Cryptographic Identity Protection Shield
  • Cross-Organizational Compromised Identity Scoring
  • Financial Sandbox Suite & Simulation Kit
Inquire Financial Defense →
RECOMMENDED

Enterprise Zero-Trust Architecture

Building endpoint identity risk scoring and SOC monitoring platforms with dynamic scalable filtering and global privacy compliance.

  • Dynamic Scalable Precision Filter Line
  • Zero False Negative Shield & Instant Privacy Erasure
  • Volumetric Data Exfiltration & Pulse Attack Shielding
Inquire Zero-Trust Architecture →

API Performance & Gateway Consulting

Eliminating API gateway concurrency bottlenecks through high-throughput read/write decoupling, async pipeline offloading, and local memory caching.

  • Microservice API Gateway Architecture Refactoring
  • Core Auth Pipeline Decoupling & Read/Write Separation
  • Heavy Computation Async Offloading (< 10ms Target)
Inquire API Optimization →
Technological Energy

Core Capabilities & Engineering Excellence

The IDRI.AI team combines low-level system optimization with advanced cryptography to help enterprises achieve maximum security at extreme scale.

Memory & System Resource Control

Efficient resource management eliminating garbage collection pauses during high-concurrency spikes.

Asynchronous Computing Decoupling

Offloading heavy risk scoring away from main HTTP loops to maintain sub-10ms response times.

Sub-Millisecond Cache HIT Engine

Accelerating frequent identity verification down to microsecond speeds via local memory caches.

Cross-Organizational Threat Intelligence

Real-time SOC monitoring and threat mitigation against novel volumetric attacks.

IDRI_Security_Engine.status 
[STATUS] IDRI.AI Security Engine Active
[SYSTEM] High Throughput Architecture: OPTIMIZED
[ISO/IEC] Frameworks 29119 & 25010: ALIGNED
[CACHE]  Memory Cache Hit Ratio: 99.4% (< 1ms)
[FILTER] Dynamic Filter Engine: RUNNING (100% Protected)
[SHIELD] Volumetric Anomaly Shield: ACTIVE
------------------------------------------
>> Realtime Benchmark: 2,000 Concurrent Req
>> Avg Latency: 4.12ms (Target < 10ms PASSED)
Interactive Demo

Live Identity Risk & API Latency Simulator

Select different runtime workloads to test IDRI's benchmark performance under heavy concurrency.

Legacy Architecture (Synchronous)
P50 Latency Response 142 ms
Expected QPS Bottleneck 409 req/s
Synchronous Locking Block
IDRI OPTIMIZED
IDRI Zero-Trust Platform
P50 Latency Response 4.2 ms
Maximum Throughput Capacity 1,850 req/s
Full Asynchronous Pipeline
Predicted Risk Score: LOW (0.04) Privacy Protection: Instant Compliant
* Benchmarked on an isolated cluster (AMD EPYC™ 64-Core, Linux kernel 6.12, optimized Go runtime). Visualized metrics represent the simulated architectural baseline under peak stress tests.
IDRI Researcher Leo
LinkedIn Profile (Leo Lee) Researcher Email: leo@idri.ai Lab Advisory Contact: contact@idri.ai
Researcher & Vision

Leo Lee / Chief Security Researcher

"In the era of rapid digital transformation and AI integration, the core challenge facing enterprises is balancing Zero-Trust identity security with ultra-high concurrency operations. Traditional security controls introduce massive latency—IDRI was built to eliminate that trade-off."

With deep expertise in distributed computing and low-level cryptography, Leo leads the IDRI.AI engineering team in building microsecond API gateways, scalable filtering shields, and threat response pipelines for top-tier financial and enterprise clients.

Career Milestones & Leadership Experience

IT Manager (Overseas Plant)
Taiwan's Largest Fully Integrated Polyester & Petrochemical Textile Conglomerate
Technical Cyber Security Assistant Manager
Taiwan's No. 1 Managed Security Service Provider (MSSP)
Project Manager (Overseas Plant)
The World's Largest Electronics Manufacturing Services (EMS) Provider
Cyber Security Engineer
The Sole Operator of Taiwan's National ETC Infrastructure & System Integration
Cyber Security Technical Service Engineer
Leading Cybersecurity Provider with National Level-A Ratings

Discuss Systems Architecture & Benchmark Bottlenecks?

Get in touch with Leo Lee for engineering discussions and technical deep-dives.

Direct Email (leo@idri.ai)