WAYSTEK

AI cybersecurity for embedded deviceson-device defenseintegration

We build on embedded AI with WaysCogniShield Engine (WCS)—the Ways product line plus CogniShield semantics for cognitive, on-device malware & intrusion defense—plus model deployment and custom HW/SW integration for connected products and industrial systems.

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Edge AI cybersecurity Real-time on-device detection HW/SW integration
Embedded AI and on-device cybersecurity visual

WCS Engine — Live Threat Detection & Response

WaysCogniShield Engine · Analyzing 1 / 10
Describe a threat event…
10+
Years of deep R&D
50+
Projects delivered
15+
Avg. engineer experience (yrs)
24h
Support response target
Edge security & integration—assessment through go-live
WaysCogniShield Engine (WCS) and our integration practice align with your product lifecycle—architecture review, PoC, pilot builds, and sustainment—one engineering team end to end to reduce handoff risk.

About WAYSTEK

Embedded engineering and AI-native security for the connected world

Who we are

Founded in 2014, we focus on embedded systems, AI-driven security, and tailored HW/SW integration. We place protection on the device—IoT, industrial, and critical endpoints included.

Team & philosophy

Our engineers average 15+ years across x86/ARM, firmware, drivers, integration, and on-device AI—from PoC through production and sustainment.

We believe security starts at the edge: real-time detection and defense without giving up performance—aligned with zero-trust thinking.

Core capabilities

Embedded AI security engines

WCS-class engine integration and on-device deployment.

ARM / RISC-V custom systems

BSP, drivers, and platform bring-up for your SoC and form factor.

End-to-end HW/SW integration

From hardware choices and firmware to cloud services and apps.

Enterprise custom software

Back-office, toolchain, and operations systems built to spec.

IoT security assessment

Threat modeling, hardening roadmaps, and compliance-oriented improvements.

Why partner with WAYSTEK?

Beyond products—we cover design, delivery, and long-term operations as your technical partner.

  • 01Leading embedded AI security

    WaysCogniShield Engine (WCS) extends the Ways brand with CogniShield (cognitive protection) semantics—our lightweight inference stack for constrained devices: sub-millisecond-class threat checks on Cortex-A class SoCs, under ~8 MB footprint, fully offline-capable without relying on the cloud for analysis.

  • From PCB review, BSP, and drivers through apps, backends, and mobile clients—one team from chip to cloud, cutting vendor coordination overhead and integration risk.

  • WCS and integration programs are structured around PoC, pilot, and production milestones so teams can control risk and schedule; depth of integration and test coverage follow your platform, compliance, and operational needs.

  • Technical inquiries answered within 24 hours; agile PoCs and iterative scope—for startups’ MVPs or enterprise integration programs alike.

  • Industrial, consumer, medical, smart home, fintech, and more—broad exposure helps us map requirements to the right architecture faster.

WAYSTEK — shield, deploy, and monitor at the edge

Embedded AI Security

Next-gen endpoint protection—on-device AI immunity for every connected product

IoT growth makes embedded targets prime for attackers. Legacy endpoint stacks are often too heavy for constrained SoCs. WaysCogniShield Engine (WCS) pairs compact neural nets with a clear mission: robust on-device cybersecurity at the endpoint without mandatory cloud dependency.

WaysCogniShield Engine (WCS) architecture and capabilities overview Click to enlarge
WaysCogniShield Engine (WCS) at a glance — tap or click for a full-screen view
Core AI

Lightweight inference

Quantization & pruning keep models under ~8 MB; on Cortex-A53 @ 1 GHz target <10 ms scan latency and <5% CPU during checks.

Defense

Behavioral threat detection

Beyond signatures—behavior and anomaly models catch zero-day malware, ransomware, rootkits, and IoT-specific payloads.

Deploy

Fully offline capable

Runs air-gapped for OT, healthcare, and defense-style networks; supports secure OTA model refresh when allowed.

Platforms

Broad portability

ARM Cortex-A/M, RISC-V, x86; Embedded Linux, FreeRTOS, Zephyr, and more—drop into existing BSPs quickly.

Ops

Central management

Fleet dashboards, alerting, policy push, log analytics, and compliance reporting for enterprise SOC workflows.

Integrate

SDK & APIs

C/C++ SDK and REST hooks for allow/deny lists, scan policies, and automated response playbooks.

Kernel eBPF

Kernel eBPF (extended BPF)

On supported embedded Linux platforms, WCS-related offerings can combine eBPF to run verified, in-kernel sandboxed programs for telemetry and policy hooks—improving visibility and timely defense at the endpoint (availability depends on kernel/version, configuration, and integration scope).

  • Low overhead, low latency Runs in-kernel with fewer user/kernel boundary crossings—suited to performance-sensitive and near real-time connected/industrial workloads.
  • Safety-first sandbox Programs pass the verifier and face strict instruction and resource limits—reducing stability and security risk compared with broad use of traditional kernel modules.
  • Broad observability Attach across networking, syscalls, file access, process lifecycle, and more—strong for behavioral audits, anomaly signals, and event correlation.
  • Event-driven & composable Logic is triggered by kernel events, easy to wire into existing pipelines, logging, and management—extendable with product-specific policies.
  • Operational agility In many deployments, probes can be loaded or tuned without a full reboot—still subject to your security policy and change controls.
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WaysCogniShield Engine (WCS) target devices

Industrial control
Medical imaging
Automotive IVI
Gateways / routers
Smart home
Video / surveillance

Core services

Three pillars: embedded AI security, custom software, and full-stack integration

Embedded AI security

On-device AI protection tuned for memory- and CPU-limited SoCs—proactive detection at the silicon edge.

  • WCS on-device inference engine
  • Behavioral / zero-day coverage
  • Offline-first operation
  • ARM / RISC-V ports
  • Linux kernel eBPF observability & policy hooks
  • SDK & API integration
  • Centralized security console

Custom software

Requirements through sustainment—desktop, web, and mobile, with AI-enabled backends where needed.

  • ERP / MES / CRM class systems
  • Android & cross-platform apps
  • Industrial HMI
  • Data & AI analytics platforms
  • Cloud SaaS builds
  • APIs & microservices

HW/SW integration & consulting

From proof-of-concept to production-ready embedded stacks plus architecture and security reviews.

  • ARM / RISC-V bring-up
  • BSP & driver development
  • Custom Embedded Linux
  • RTOS integration
  • Edge-to-cloud IoT design
  • Compliance hardening

Technical depth

Engineering foundations for secure, AI-ready products

AI security stack

Proprietary lightweight engine blending ML and behavioral analytics, optimized for embedded footprints.

TFLite Micro ONNX Runtime Quantization Behavior ML Zero-day eBPF OTA

Embedded systems

Bootloader through apps—BSP, kernel, and userspace on leading SoCs and RTOS/Linux combos.

ARM Cortex RISC-V Embedded Linux FreeRTOS Zephyr Yocto U-Boot

Application engineering

Systems code, APIs, web frontends, and mobile—agile delivery with production quality gates.

C / C++ Python Java / Kotlin React Node.js Django Docker

IoT & protocols

MQTT, BLE, Zigbee, CAN, Modbus, and more—reliable device meshing with secure transports.

MQTT CoAP BLE Wi-Fi 6 Zigbee CAN Bus Modbus

Cloud & backend

Cloud-native patterns, HA services, and data pipelines for AI training and fleet telemetry.

Google Cloud AWS Kubernetes Microservices Redis PostgreSQL Kafka

Security & compliance

IoT/embedded assessments aligned with IEC 62443, NIST CSF, and automotive workflows.

Pentest Firmware RE IEC 62443 NIST CSF Threat modeling Audits

Case studies

Representative scenarios and design directions for on-device protection with WCS. Narratives and figures are illustrative; actual results and any certifications or regulatory outcomes depend on your product, test scope, and the authorities—not on WAYSTEK holding a specific third-party certification.

Industrial IoT gateway AV

Manufacturing lines running hundreds of Cortex-A7 gateways faced ransomware and data-exfil risk. WCS deployed inline without downtime.

In validation setups: ~99.3% malware catch rate; ~<3% perf impact (varies by hardware and samples—not a guarantee)

Smart retail inventory

Omnichannel stock, ERP, Android POS, and RFID readers unified on private cloud.

Customer feedback: ~60% faster cycle counts; ~85% fewer manual errors (project-specific ranges)

Medical device firmware hardening

Practices informed by IEC 62443-style guidance: reviews, threat modeling, secure boot, and embedded endpoint controls to support FDA cybersecurity documentation themes—without implying WAYSTEK or the device has passed a specific agency certification.

Hardening and evidence to support customer readiness (regulatory acceptance is authority- and sponsor-specific—not a certification promise)

Capital-markets AI analytics

Multi-source data fusion, predictive models, and automated backtesting with risk dashboards for institutional desks.

Backtests often move from hours toward minutes (depends on data volume and models)

Smart-home hub

CM4-class hub bridging Zigbee, BLE, and Wi-Fi with Android control apps and voice surfaces.

Design target: 200+ device profiles; ~<50 ms latency (network and load dependent)

Automotive IVI security

Automotive Linux hardening, CAN protections, and secure OTA for Tier-1 IVI programs.

Engineering planned to align with common ISO/SAE 21434 themes (formal automotive certification is customer- and lab-specific)

AI camera & NVR on-device defense

Smart cameras and edge NVRs in multi-site retail faced malware and exfiltration risk. WCS on camera firmware and recording hosts adds on-device detection and anomaly alerts.

Pilot observations: ~72% fewer abnormal connections; ~98.7% suspicious blocks (not a universal guarantee)

Enterprise edge gateway & OT bridge

Multi-protocol edge gateways linking PLCs, sensors, and MES faced lateral-movement risk. WCS on ARM gateways enables offline inspection, policy enforcement, and SOC-aligned alerting.

Alert timing toward seconds; ~35% less maintenance effort in similar deployments (SOC workflow dependent)

Digital signage & self-service kiosks

Always-on Android/Linux panels in retail and transit are common entry points. WCS is baked into images and update flows with app allow-listing and behavior monitoring.

Pilot observations: ~81% fewer unknown binaries; ~42% fewer abnormal downtime events (illustrative ranges)

Ready for safer, smarter products?

Book a free architecture review with our AI security engineers.

Contact us

Leadership

15+ years average depth across embedded, AI, and enterprise delivery

William

Chief Executive Officer

Embedded and AI-security background with 15+ years on ARM platforms; leads industrial integration programs and WCS go-to-market.

Willy

Chief Marketing Officer

Digital transformation advisory and B2B brand building for global technology partnerships.

Stack

Chief Technology Officer

Embedded Linux, BSP, and model optimization—architect of WaysCogniShield Engine (WCS) and security integration playbooks.

Sandy

Chief Financial Officer

Finance, compliance, and capital planning for high-growth deep-tech operations.

FAQ

Answers about embedded AI security, delivery, and support

  • Which hardware platforms does WCS support?

    Today we target ARM Cortex-A5/A7/A53/A55/A72-class SoCs and leading RISC-V cores with Embedded Linux (kernel 4.x+) or FreeRTOS-class RTOS. Minimum guidance: ~512 MB RAM and 1 GHz CPU—tighter footprints available with custom tuning. Send a BOM for a free fit-gap review.

  • Typical SDK hook-in needs 2–4 weeks for a PoC; production hardening (test + tuning) lands around 2–3 months. Docs, samples, and named support lower friction—custom scopes quoted separately.

  • Discovery → technical sizing → proposal. Expect a 1–2 h workshop, then a written plan within ~3–5 business days covering scope, timeline, and resourcing. Engagements can be fixed-bid milestones or time & materials, tuned to scope and release cadence.

  • Architecture reviews, SoC/memory/radio selection, software stack planning, security design reviews, performance profiling, and manufacturing readiness—hourly or retainer.

  • Yes—business-hour, follow-the-sun, and dedicated-SLA tiers. WCS subscriptions include model and threat-intel refresh channels to keep edge defenses current.

  • Embedded Linux (Yocto, Buildroot, OpenWRT), Android/AOSP, FreeRTOS, Zephyr, QNX, VxWorks, plus bespoke BSP and image pipelines.

Contact

Reach our AI security and integration engineers

Hours

Mon–Fri 09:00–18:00 (local)
Email / LINE: reply within 24 h
Emergency escalation available by arrangement

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